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Hyperspectral Remote Sensing Techniques For Locating Geothermal Resources |
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Hyperspectral Remote Sensing Techniques For Locating Geothermal Resources Hyperspectral Remote Sensing Techniques For Locating Geothermal Resources Jump to: navigation, search OpenEI Reference LibraryAdd to library Poster: Hyperspectral Remote Sensing Techniques For Locating Geothermal Resources Abstract Demonstrating the effectiveness of hyperspectral sensors to explore for geothermal resources will be critical to our nation's energy security plans. Discovering new geothermal resources will contribute to established renewable energy capacity and lower our dependence upon fuels that contribute to green house gas emissions. The use of hyperspectral data and derived imagery products is currently helping exploration managers gain greater efficiencies and drilling success. However, more work is needed as geologists continue to learn about hyperspectral imaging and, conversely,
Hyperspectral Geobotanical Remote Sensing For Co2 Storage Monitoring | Open
Hyperspectral Geobotanical Remote Sensing For Co2 Storage Monitoring Hyperspectral Geobotanical Remote Sensing For Co2 Storage Monitoring Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Book: Hyperspectral Geobotanical Remote Sensing For Co2 Storage Monitoring Details Activities (1) Areas (1) Regions (0) Abstract: This project's goal is to develop remote sensing methods for early detection and spatial mapping, over whole regions simultaneously, of any surface areas under which there are significant CO2 leaks from deep underground storage formations. If large amounts of CO2 gas percolated up from a storage formation below to within plant root depth of the surface, the CO2 soil concentrations near the surface would become elevated and would affect individual plants and their local plant ecologies. Excessive soil CO2 concentrations are observed to significantly affect local plant
Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing
Science Conference Proceedings (OSTI)
Hyperspectral imaging is a growing area in remote sensing in which an imaging spectrometer collects hundreds of images (at different wavelength channels) for the same area on the surface of the Earth. Hyperspectral images are extremely high-dimensional, ... Keywords: Application development experience, FPGAs, GPUs, Hardware accelerators, Hyperspectral imaging
Carlos Gonz�Lez; Sergio S�Nchez; Abel Paz; Javier Resano; Daniel Mozos; Antonio Plaza
Hyperspectral Geobotanical Remote Sensing for CO2 Storage Monitoring
DOE Green Energy (OSTI)
This project's goal is to develop remote sensing methods for early detection and spatial mapping, over whole regions simultaneously, of any surface areas under which there are significant CO2 leaks from deep underground storage formations. If large amounts of CO2 gas percolated up from a storage formation below to within plant root depth of the surface, the CO2 soil concentrations near the surface would become elevated and would affect individual plants and their local plant ecologies. Excessive soil CO2 concentrations are observed to significantly affect local plant and animal ecologies in our geothermal exploration, remote sensing research program at Mammoth Mountain CA USA. We also know from our geothermal exploration remote sensing programs, that we can map subtle hidden faults by spatial signatures of altered minerals and of plant species and health distributions. Mapping hidden faults is important because in our experience these highly localized (one to several centimeters) spatial pathways are good candidates for potentially significant CO2 leaks from deep underground formations. The detection and discrimination method we are developing uses primarily airborne hyperspectral, high spatial (3 meter) with 128 band wavelength resolution, visible and near infrared reflected light imagery. We also are using the newly available ''Quickbird'' satellite imagery that has high spatial resolution (0.6 meter for panchromatic images, 2.4 meters for multispectral). We have a commercial provider, HyVista Corp of Sydney Australia, of airborne hyperspectral imagery acquisitions and very relevant image data post processing, so that eventually the ongoing surveillance of CO2 storage fields can be contracted for commercially. In this project we have imaged the Rangely Colorado Oil field and surrounding areas with an airborne hyperspectral visible and near infrared reflected light sensor. The images were analyzed by several methods using the suite of tools available in the ENVI commercial hyperspectral image processing software. We have also begun to use the high resolution (0.6 meter) commercial satellite QuickBird in our technology development. This hyperspectral imaging project for CO2 leakage monitoring has focused on using the extensive hyperspectral imagery set that we acquired of the Rangely CO enhanced oil recovery field in August 2002. We have accomplished extensive analysis of this imagery. We have created highly detailed maps of soil types, plant coverages, plant health, local ecologies or habitats, water conditions, and manmade objects throughout the entire Rangely Oil field and surrounding areas. The results were verified during a field trip to Rangely CO in August 2003. These maps establish an environmental and ecological baseline against which any future CO2 leakage effects on the plants, plant habitats, soils and water conditions can be detected and verified. We have also seen signatures that may be subtle hidden faults. If confirmed these faults might provide pathways for upward CO2 migration if that occurred at any time during the future. We have found a result that was unexpected, new to us, and potentially very important to the task of monitoring for CO2 that has leaked to within the plant root depths near the surface. The discovery is that one of our analysis techniques has picked out finely detailed mapping of local ecologies. Some of which are found to extend across the entire Rangely oil field and into the surrounding areas. These ecologies appear to be made up of a fairly narrow range of percentage admixtures of two or three very specific plant types and soil types. It is likely that any large amounts of CO2 reaching the root depth near the surface would begin to modify the shapes of the habitats. These habitat changes will be easy to detect by repeat imaging of the area. The habitat modification signature is probably detectable earlier following the start of CO2 build up in the soil, than looking for individual plant stress. We strongly recommend a long term research effort that will establish what CO2 soil co
Pickles, W; Cover, W
Vegetation Cover Analysis of Hazardous Waste Sites in Utah and Arizona Using Hyperspectral Remote Sensing
Energy.gov (U.S. Department of Energy (DOE)) Indexed Site
Remote Sens. 2012, 4, 327-353; doi:10.3390/rs4020327 Remote Sens. 2012, 4, 327-353; doi:10.3390/rs4020327 Remote Sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Article Vegetation Cover Analysis of Hazardous Waste Sites in Utah and Arizona Using Hyperspectral Remote Sensing Jungho Im 1, *, John R. Jensen 2 , Ryan R. Jensen 3 , John Gladden 4 , Jody Waugh 5 and Mike Serrato 4 1 Department of Environmental Resources Engineering, College of Environmental Science and Forestry, State University of New York, Syracuse, NY 13210, USA 2 Department of Geography, University of South Carolina, Columbia, SC 29208, USA; E-Mail: firstname.lastname@example.com 3 Department of Geography, Brigham Young University, Provo, UT 84605, USA; E-Mail: firstname.lastname@example.com 4 Savannah River National Laboratory, Department of Energy, Aiken, SC 29808, USA;
Hyperspectral remote sensing analysis of short rotation woody crops grown with controlled nutrient and irrigation treatments.
SciTech Connect
Abstract - Hyperspectral remote sensing research was conducted to document the biophysical and biochemical characteristics of controlled forest plots subjected to various nutrient and irrigation treatments. The experimental plots were located on the Savannah River Site near Aiken, SC. AISA hyperspectral imagery were analysed using three approaches, including: (1) normalized difference vegetation index based simple linear regression (NSLR), (2) partial least squares regression (PLSR) and (3) machine-learning regression trees (MLRT) to predict the biophysical and biochemical characteristics of the crops (leaf area index, stem biomass and five leaf nutrients concentrations). The calibration and cross-validation results were compared between the three techniques. The PLSR approach generally resulted in good predictive performance. The MLRT approach appeared to be a useful method to predict characteristics in a complex environment (i.e. many tree species and numerous fertilization and/or irrigation treatments) due to its powerful adaptability.
Im, Jungho; Jensen, John R.; Coleman, Mark; Nelson, Eric
Remote sensing technology can provide a cost-effective tool for monitoring hazardous waste sites. This study investigated the usability of HyMap airborne hyperspectral remote sensing data (126 bands at 2.3 x 2.3 m spatial resolution) to characterize the vegetation at U.S. Department of Energy uranium processing sites near Monticello, Utah and Monument Valley, Arizona. Grass and shrub species were mixed on an engineered disposal cell cover at the Monticello site while shrub species were dominant in the phytoremediation plantings at the Monument Valley site. The specific objectives of this study were to: (1) estimate leaf-area-index (LAI) of the vegetation using three different methods (i.e., vegetation indices, red-edge positioning (REP), and machine learning regression trees), and (2) map the vegetation cover using machine learning decision trees based on either the scaled reflectance data or mixture tuned matched filtering (MTMF)-derived metrics and vegetation indices. Regression trees resulted in the best calibration performance of LAI estimation (R{sup 2} > 0.80). The use of REPs failed to accurately predict LAI (R{sup 2} < 0.2). The use of the MTMF-derived metrics (matched filter scores and infeasibility) and a range of vegetation indices in decision trees improved the vegetation mapping when compared to the decision tree classification using just the scaled reflectance. Results suggest that hyperspectral imagery are useful for characterizing biophysical characteristics (LAI) and vegetation cover on capped hazardous waste sites. However, it is believed that the vegetation mapping would benefit from the use of 1 higher spatial resolution hyperspectral data due to the small size of many of the vegetation patches (< 1m) found on the sites.
Serrato, M.; Jungho, I.; Jensen, J.; Jensen, R.; Gladden, J.; Waugh, J.
UAV-based hyperspectral remote sensing capabilities developed by the Idaho National Lab and Idaho State University, Boise Center Aerospace Lab, were recently tested via demonstration flights that explored the influence of altitude on geometric error, image mosaicking, and dryland vegetation classification. The test flights successfully acquired usable flightline data capable of supporting classifiable composite images. Unsupervised classification results support vegetation management objectives that rely on mapping shrub cover and distribution patterns. Overall, supervised classifications performed poorly despite spectral separability in the image-derived endmember pixels. Future mapping efforts that leverage ground reference data, ultra-high spatial resolution photos and time series analysis should be able to effectively distinguish native grasses such as Sandberg bluegrass (Poa secunda), from invasives such as burr buttercup (Ranunculus testiculatus) and cheatgrass (Bromus tectorum).
Nancy F. Glenn; Jessica J. Mitchell; Matthew O. Anderson; Ryan C. Hruska
Identification of a New Blind Geothermal System with Hyperspectral Remote
Identification of a New Blind Geothermal System with Hyperspectral Remote Identification of a New Blind Geothermal System with Hyperspectral Remote Sensing and Shallow Temperature Measurements at Columbus Salt Marsh, Esmeralda County, Nevada Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: Identification of a New Blind Geothermal System with Hyperspectral Remote Sensing and Shallow Temperature Measurements at Columbus Salt Marsh, Esmeralda County, Nevada Abstract Hyperspectral remote sensing-derived mineral maps and follow-up shallow temperature measurements were used to identify a new blind geothermal target in the Columbus Salt Marsh playa, Esmeralda County, Nevada. The hyperspectral survey was conducted with the ProSpecTIR VS2 instrument and consists of 380 km2 of 4-meter spatial resolution data acquired on October
Remote Sensing of Terrestrial and Submerged Aquatic Vegetation in Fire Island National
E-Print Network (OSTI)
Remote Sensing of Terrestrial and Submerged Aquatic Vegetation in Fire Island National Seashore Satellite Remote Sensing Data in FIIS Vegetation Mapping The vegetation communities and spatial patterns necessary. #12;Hyperspectral Remote Sensing in Seagrass Habitat Mapping Recent development of hyperspectral
Wang, Y.Q. "Yeqiao"
Mapping Alteration Caused by Hydrocarbon Microseepages in Patrick Draw area Southwest Wyoming Using Image Spectroscopy and Hyperspectral Remote Sensing
Detection of underlying reservoir accumulations using remote sensing techniques had its inception with the identification of macroseeps. However, today we find ourselves relying on the detection of more subtle characteristics associated with petroleum reservoirs, such as microseeps. Microseepages are the result of vertical movement of light hydrocarbons from the reservoir to the surface through networks of fractures, faults, and bedding planes that provide permeable routes within the overlying rock. Microseepages express themselves at the surface in an array of alterations and anomalies, such as chemical or mineralogical changes in overlying soils and sediments. Using NASA's Hyperion hyperspectral imaging sensors, this project has developed spectral and geochemical ground truthing techniques to identify and map alterations caused by hydrocarbon microseepages and to determine their relationships to the underlying geology in the Patrick Draw area of Southwest Wyoming. Training the classification of satellite imagery with spectral inputs of samples collected over previously defined areas of hydrocarbon microseepage resulted in the successful identification of an anomalous zone. Geochemical characteristics of samples that defined this anomalous zone were then compared to the remaining non-anomalous samples using XRD, ICP, spectroscopy and carbon isotope techniques.
Shuhab D. Khan
Remote Sensing
Evaluating ecological patterns and processes is crucial for the conservation of ecosystems [1]. In this view, remote sensing is a powerful tool for monitoring their status and change. This involves several tasks like biodiversity estimate, landscape ecology, and species distribution modeling, to name a few [2]. Due to the difficulties associated with field-based data collection [3], the use of remote sensing for estimating ecological status and change is promising since it provides a synoptic view of an area with a high temporal resolution [4]. Of course in some cases remote sensing should be viewed as a help to plan a field survey rather than a replacement of it. Further, its improper use may lead to pitfalls and misleading results. This special issue �Ecological Status and Change by Remote Sensing � is devoted to provide an almost complete overview of robust methods applied to ecological status and change estimate by remote sensing. The contributions published in this special issue cover most of the ecological fields of research involving remote sensing, in particular: (i) mapping vegetation, species distribution modeling and land use status and change; (ii) estimating environmental processes; (iii) developing landscape ecology metrics; (iv) assessing community biodiversity; and (v) estimating climatic parameters. The authors submitting their manuscript to this special issue of Remote Sensing are amongst the
Duccio Rocchini
Hyperspectral remote sensing of plant biochemistry using Bayesian model averaging with variable and band selection
Model specification remains challenging in spectroscopy of plant biochemistry, as exemplified by the availability of various spectral indices or band combinations for estimating the same biochemical. This lack of consensus in model choice across applications argues for a paradigm shift in hyperspectral methods to address model uncertainty and misspecification. We demonstrated one such method using Bayesian model averaging (BMA), which performs variable/band selection and quantifies the relative merits of many candidate models to synthesize a weighted average model with improved predictive performances. The utility of BMA was examined using a portfolio of 27 foliage spectral�chemical datasets representing over 80 species across the globe to estimate multiple biochemical properties, including nitrogen, hydrogen, carbon, cellulose, lignin, chlorophyll (a or b), carotenoid, polar and nonpolar extractives, leaf mass per area, and equivalent water thickness. We also compared BMA with partial least squares (PLS) and stepwise multiple regression (SMR). Results showed that all the biochemicals except carotenoid were accurately estimated from hyerspectral data with R2 values > 0.80.
Zhao, Kaiguang; Valle, Denis; Popescu, Sorin; Zhang, Xuesong; Malick, Bani
REMOTE SENSING IN GEOLOGICAL SURVEY OF BRAZIL August/2010 Mônica Mazzini Perrotta Remote Sensing Division Head #12;SUMMARY The Geological Survey of Brazil mission The Remote Sensing Division Main remote, Paleontology, Remote Sensing Director of Hydrology and Land Management But Remote Sensing Division gives
ENGO 435 Remote Sensing LAB 1: INTRODUCTION TO REMOTE SENSING
ENGO 435 Remote Sensing Fall 2003 LAB 1: INTRODUCTION TO REMOTE SENSING Due: By 4:30 pm on September 30th Objectives: To familiarize you with: Remote sensing resources on the Internet. Some remote (Metadata). Part A: Remote Sensing Resources There is a wealth of remote sensing information and data
Habib, Ayman
Remote Sensing ENGO 435 Introduction to Remote Sensing
1 Remote Sensing ENGO 435 Introduction to Remote Sensing Fall 2003 #12;2 Remote Sensing ENGO 435://www.geomatics.ucalgar.ca/~habib/courses.html #12;3 Remote Sensing ENGO 435 Grading Scheme · Lab Assignments (5 labs): (25% of Total Grade will be reduced by 10% per day for each day overdue. #12;4 Remote Sensing ENGO 435 Programming & Software
Remote Sensing News
... Remote Sensing News. (showing 1 - 6 of 6). Photonic Thermometers Release Date: 11/28/2012 Click here for animation more. ...
REMOTE SENSING ACTIVITIES Caiti Steele
REMOTE SENSING ACTIVITIES Caiti Steele #12;REMOTE SENSING ACTIVITIES Remote sensing of biomass al., 2010) Remote sensing for mapping Ecological States: Spatially-Explicit Representation of State and Steele, in preparation) #12;REMOTE SENSING OF BIOMASS Can reflectance indices derived from Landsat
Geobotanical Remote Sensing for Geothermal Exploration
This paper presents a plan for increasing the mapped resource base for geothermal exploration in the Western US. We plan to image large areas in the western US with recently developed high resolution hyperspectral geobotanical remote sensing tools. The proposed imaging systems have the ability to map visible faults, surface effluents, historical signatures, and discover subtle hidden faults and hidden thermal systems. Large regions can be imaged at reasonable costs. The technique of geobotanical remote sensing for geothermal signatures is based on recent successes in mapping faults and effluents the Long Valley Caldera and Mammoth Mountain in California.
Pickles, W L; Kasameyer, P W; Martini, B A; Potts, D C; Silver, E A
Remote sensing image segmentation by active queries Devis Tuia a,n
Remote sensing image segmentation by active queries Devis Tuia a,n , Jordi Mun~oz-Mari´ b , Gustavo Multiscale image segmentation Remote sensing Hyperspectral imagery Multispectral imagery a b s t r a c- istics in a compact way. For remote sensing image segmentation, the selected samples are the most
Camps-Valls, Gustavo
Remote Sensing of Polar Regions
Polar researchers have historically been innovative and adaptive users of satellite remote sensing data, and their experiences can suggest ways to enhance the use of remote sensing throughout the climate sciences. We performed a semistructured ...
Dan Lubin; Gabrielle Ayres; Steven Hart
Interpreting Remote Sensing NOx Measurements
Interpreting Remote Sensing NOx Measurements Robert Slott, Consultant, Donald Stedman and Saj tailpipe emissions (HC, CO, NOx) are changing with time hUse remote sensing hMeasurements in at least 4 of the year at each location hUniform QC/QA and data reporting Paper # 2001-01-3640 #12;Remote Sensing
Denver, University of
4, 133, 2007 Remote sensing
HESSD 4, 133, 2007 Remote sensing approach to parsimonious streamflow modeling B. P. Weissling et System Sciences A multitemporal remote sensing approach to parsimonious streamflow modeling. P. Weissling (email@example.com) 1 #12;HESSD 4, 133, 2007 Remote sensing approach to parsimonious
Paris-Sud XI, Université de
Satellite-based remote sensing of cirrus clouds: hyperspectral radiative transfer modeling, analysis of uncertainties in in-situ cloud extinction measurements and intercomparison of cirrus retrievals from a-train instruments
This dissertation consists of three parts, each devoted to a particular issue of significant importance for satellite-based remote sensing of cirrus clouds. In the first part, we develop and present a fast infrared radiative transfer model on the basis of the adding-doubling principle. The model aims to facilitate the radiative transfer computations involved in hyperspectral remote sensing applications. The model is applicable to a variety of cloud conditions, including vertically inhomogeneous or multilayered clouds. It is shown that for hyperspectral applications the model is two order-of-magnitude faster than the well-known discrete ordinate transfer (DISORT) model, while maintains a similar accuracy. The second part is devoted to the investigation of uncertainties in the FSSP (Forward Scattering Spectrometer Probe) measurement of cloud extinction by small ice particles. First, the single-scattering properties of small ice particles in cirrus clouds are derived and compared to those of equivalent spheres according to various definitions. It is found that, although small ice particles in cirrus clouds are often �quasi-spherical�, their scattering phase functions and asymmetry factors are significant different from those of ice spheres. Such differences may lead to substantial underestimation of cloud extinction in FSSP measurement, if small ice particles are assumed to be spheres. In the third part, we present a comparison of cirrus cloud optical thickness retrievals from two important instruments, MODIS (Moderate Resolution Imaging Spectrometer) and POLDER (Polarization and Directionality of Earth�s Reflection), on board NASA�s A-train satellite constellation. The comparison reveals a large difference. Several possible reasons are discussed. It is found that much of the difference is attributable to the difference between the MODIS and POLDER retrieval algorithm in the assumption of cirrus cloud bulk scattering properties. Potential implications of the difference for climate studies are investigated. An important finding is that the use of an unrealistic cirrus bulk scattering model might introduce artificial seasonal variation of cirrus optical thickness and shortwave radiative forcing into the retrieval.
Zhang, Zhibo
Remote Sensing Ayman F. Habib Introduction
Remote Sensing Ayman F. Habib 1 Chapter 1 Introduction #12;Remote Sensing Ayman F. Habib 2 Overview · Remote sensing: definition. · Remote sensing versus photogrammetry. · Elements of remote sensing. · Key;Remote Sensing Ayman F. Habib 3 Overview · Acquisition platforms: Historical overview. Terrestrial
Sensing remote nuclear spins
Sensing single nuclear spins is a central challenge in magnetic resonance based imaging techniques. Although different methods and especially diamond defect based sensing and imaging techniques in principle have shown sufficient sensitivity, signals from single nuclear spins are usually too weak to be distinguished from background noise. Here, we present the detection and identification of remote single C-13 nuclear spins embedded in nuclear spin baths surrounding a single electron spins of a nitrogen-vacancy centre in diamond. With dynamical decoupling control of the centre electron spin, the weak magnetic field ~10 nT from a single nuclear spin located ~3 nm from the centre with hyperfine coupling as weak as ~500 Hz is amplified and detected. The quantum nature of the coupling is confirmed and precise position and the vector components of the nuclear field are determined. Given the distance over which nuclear magnetic fields can be detected the technique marks a firm step towards imaging, detecting and cont...
Zhao, Nan; Schmid, Berhard; Isoya, Junichi; Markham, Mathew; Twitchen, Daniel; Jelezko, Fedor; Liu, Ren-Bao; Fedder, Helmut; Wrachtrup, J�rg
Remote Sensing R. E. Mcintosh
NLE Websites -- All DOE Office Websites (Extended Search)
participate in an intensive operation period (lOP) planned for June 1993. The Microwave Remote Sensing Laboratory (MIRSL) is developing a mobile, scanning millimeter-wave radar...
Geobotanical Remote Sensing Applied To Targeting New Geothermal Resource
Geobotanical Remote Sensing Applied To Targeting New Geothermal Resource Geobotanical Remote Sensing Applied To Targeting New Geothermal Resource Locations In The Us Basin And Range With A Focus On Dixie Meadows, Nv Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Geobotanical Remote Sensing Applied To Targeting New Geothermal Resource Locations In The Us Basin And Range With A Focus On Dixie Meadows, Nv Details Activities (1) Areas (1) Regions (0) Abstract: This paper presents an overview of the work our collaboration is doing to increase the detailed mapped resource base for geothermal exploration in the Western US. We are imaging several large areas in the western US with high resolution airborne hyperspectral and satellite multispectral sensors. We have now entered the phase where the remote sensing techniques and tools we are developing are mature enough to be
Remote Sensing: A New Tool For Automobile
Remote Sensing. Recent breakthroughs in manufacturing low- emitting vehicles and in remote sensing of a moving car-style testing centers. Remote sensing technology now allows a piece of equipment small enough to fit in a van
CHAPTER 12:CHAPTER 12: Remote Sensing ofRemote Sensing of
1 CHAPTER 12:CHAPTER 12: Remote Sensing ofRemote Sensing of WaterWaterWaterWater REFERENCE: Remote SensingREFERENCE: Remote Sensing of the Environmentof the Environment John R. Jensen (2007)John R. Jensen yy y the waterthe water with remotewith remote sensing?sensing? #12;2 THE BLUE PLANETTHE BLUE PLANET
Gilbes, Fernando
Method to analyze remotely sensed spectral data
A fast and rigorous multivariate curve resolution (MCR) algorithm is applied to remotely sensed spectral data. The algorithm is applicable in the solar-reflective spectral region, comprising the visible to the shortwave infrared (ranging from approximately 0.4 to 2.5 .mu.m), midwave infrared, and thermal emission spectral region, comprising the thermal infrared (ranging from approximately 8 to 15 .mu.m). For example, employing minimal a priori knowledge, notably non-negativity constraints on the extracted endmember profiles and a constant abundance constraint for the atmospheric upwelling component, MCR can be used to successfully compensate thermal infrared hyperspectral images for atmospheric upwelling and, thereby, transmittance effects. Further, MCR can accurately estimate the relative spectral absorption coefficients and thermal contrast distribution of a gas plume component near the minimum detectable quantity.
Stork, Christopher L. (Albuquerque, NM); Van Benthem, Mark H. (Middletown, DE)
ENGO 435 Ayman F. Habib Remote Sensing
ENGO 435 Ayman F. Habib 1 Remote Sensing Fall 2003 ENGO 435 Ayman F. Habib 2 Contact Information of remotes sensing. Definitions and concepts. Applications in Geomatics Engineering. · Emphasis: Elements of remote sensing. Systems for the acquisition of remote sensing data. Radiometric
-1- REMOTE SENSING OF ENVIRONMENT I COURSE SYLLABUS GEOG 526, Fall 2012 T Th 9:30 10:45 228 relating to remote sensing of the earth's environment. We will begin by examining remote sensing as a field will shift to digital image processing and to areas in which remote sensing is applied as a tool for mapping
Peterson, Blake R.
Remote Sensing Ayman F. Habib Image Classification
1 Remote Sensing Ayman F. Habib 1 Chapter 6 Image Classification Remote Sensing Ayman F. Habib 2. Unsupervised classification. · Accuracy assessment. #12;2 Remote Sensing Ayman F. Habib 3 Image Classification of image pixels is based on their digital numbers/grey values in one or more spectral bands. Remote Sensing
Remote Sensing Techniques | Open Energy Information
Remote Sensing Techniques Remote Sensing Techniques Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Remote Sensing Techniques Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Remote Sensing Techniques Exploration Sub Group: None Parent Exploration Technique: Exploration Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Dictionary.png Remote Sensing Techniques: Remote sensing utilizes satellite and/or airborne based sensors to collect information about a given object or area. Remote sensing data collection methods can be passive or active. Passive sensors (e.g., spectral imagers) detect natural radiation that is emitted or reflected by the object or area
Geobotanical Remote Sensing For Geothermal Exploration | Open Energy
For Geothermal Exploration For Geothermal Exploration Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Book: Geobotanical Remote Sensing For Geothermal Exploration Details Activities (1) Areas (1) Regions (0) Abstract: This paper presents a plan for increasing the mapped resource base for geothermal exploration in the Western US. We plan to image large areas in the western US with recently developed high resolution hyperspectral geobotanical remote sensing tools. The proposed imaging systems have the ability to map visible faults, surface effluents, historical signatures, and discover subtle hidden faults and hidden thermal systems. Large regions can be imaged at reasonable costs. The technique of geobotanical remote sensing for geothermal signatures is based on recent successes in mapping faults and effluents the Long Valley Caldera and
Remote Sensing Ayman F. Habib Radiometric Processing of Remote Sensing Data
Remote Sensing Ayman F. Habib 1 Chapter 4 Radiometric Processing of Remote Sensing Data #12;Remote. · Noise removal. · Point and edge detection. Frequency domain. #12;Remote Sensing Ayman F. Habib 3 Radiometric Calibration #12;Remote Sensing Ayman F. Habib 4 Recorded Digital Numbers (DN) · Recorded grey
Identification of a New Blind Geothermal System with Hyperspectral...
a New Blind Geothermal System with Hyperspectral Remote Sensing and Shallow Temperature Measurements at Columbus Salt Marsh, Esmeralda County, Nevada Jump to: navigation, search...
... New and Reorganized Appendices ?Sample Audit Forms ?And more ANSI Z 136.8 Page 6. DIRECTED ENERGY REMOTE SENSING: ...
Remote Sensing for Water Quality Applications
Remote Sensing for Water Quality Applications #12;Objective Give a brief update on GEO Inland and Nearshore Coastal Water Quality Remote Sensing Workshop (GEO Work Task WA-06-01)) Held in Geneva and Nearshore Coastal Water Quality Remote Sensing Workshop (GEO Work Task WA-06-01)) Organizing committee
Airborne remote sensing in the frozen north
20 Airborne remote sensing in the frozen north High level shot from 10,000 feet shows, Chief Pilot and Operations Manager for NERC's Airborne Remote Sensing Facility reports on a recent trip expert the Airborne Remote Sensing Facility flew to the Norwegian archipelago of Svalbard on August 3
Brierley, Andrew
Bylaws of the Center for Remote Sensing
DRAFT Bylaws of the Center for Remote Sensing Agricultural and Biological Engineering University for the conduct and operation of the Center for Remote Sensing (CRS) at the University of Florida (UF). The CRS and international recognition in research, teaching, and outreach for cutting-edge technologies in remote sensing
Watson, Craig A.
Geography 477 Introduction to Remote Sensing
Geography 477 Introduction to Remote Sensing www.sdal.uiuc.edu Dr. Tom Frank 321 Davenport Hall email@example.com 333-7248 #12;Remotely-sensed images of light reflected or emitted from the earth of the earth's environments #12;Remote sensing is the science or art of deriving information about an object
Frank, Thomas D.
Challenges and Opportunities of Remote Sensing in
Challenges and Opportunities of Remote Sensing in Caribbean Coastal Waters Fernando Gilbes-Santaella, Ph.D. Associate Professor Geological and Environmental Remote Sensing Laboratory Department of this presentation Discuss the potential and limitations for remote sensing of ocean color and coral reefs monitoring
Remote Sensing of the Rob Holman1
Remote Sensing of the Nearshore Rob Holman1 and Merrick C. Haller2 1 College of Earth, Ocean- ate temporal or spatial density or at reasonable logistical or financial costs. Remote sensing algo- rithms by which the most important geophysical variables can be estimated from remote sensing
Haller, Merrick
Remote Sensing 2010, 2, 2274-2304; doi:10.3390/rs2092274 Remote Sensing
Remote Sensing 2010, 2, 2274-2304; doi:10.3390/rs2092274 Remote Sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Review Remote Sensing of Irrigated Agriculture: Opportunities and Challenges Mutlu Ozdogan *, Yang Yang / Published: 27 September 2010 Abstract: Over the last several decades, remote sensing has emerged
Wisconsin at Madison, University of
Polarimetric remote sensing system analysis: Digital Imaging and Remote Sensing Image Generation (DIRSIG) model
i Polarimetric remote sensing system analysis: Digital Imaging and Remote Sensing Image Generation CENTER FOR IMAGING SCIENCE Title of Dissertation: Polarimetric remote sensing system analysis: DIRSIG____________________________________________________________ Date #12;vi #12;vii Polarimetric remote sensing system analysis: DIRSIG model validation and impact
Salvaggio, Carl
High-Performance Computing in Remote Sensing Antonio J. Plaza1
Flight Center. Chapter 8. Distributed computing for inverse modeling of hyperspectral data Authors. Chapter 11. Grid computing for remote sensing data and data analysis Authors: Samuel D. Gasster, Craig Lee Laboratory Department of Electrical and Computer Engineering University of Maryland Baltimore County
Chang, Chein-I
The development of new algorithms for remote sensing of snow ...
Mar 14, 2010 ... remote sensing algorithm development, calibration and validation in ... Keywords Remote sensing � Retrieval algorithms �. Fractional snow�...
Remote Sensing Methods for Imaging Dose to Water
Remote Sensing Methods for Imaging Dose to Water. Summary: Calorimetry based upon remote sensing of the temperature ...
Remote Sensing Ayman F. Habib Electro-Magnetic Radiation
Remote Sensing Ayman F. Habib 1 Chapter 2 Electro-Magnetic Radiation #12;Remote Sensing Ayman F. Habib 2 Elements of Remote Sensing #12;Remote Sensing Ayman F. Habib 3 Chapter 2 Radiation: nature & source #12;Remote Sensing Ayman F. Habib 4 Chapter 2 Interaction with the atmosphere #12;Remote Sensing
Remote Sensing Ayman F. Habib 1 Chapter 2 Electro-Magnetic Radiation Remote Sensing Ayman F. Habib 2 Elements of Remote Sensing #12;Remote Sensing Ayman F. Habib 3 Chapter 2 Radiation: nature & source Remote Sensing Ayman F. Habib 4 Chapter 2 Interaction with the atmosphere #12;Remote Sensing Ayman
Definition: Remote Sensing Techniques | Open Energy Information
Remote Sensing Techniques Remote Sensing Techniques Jump to: navigation, search Dictionary.png Remote Sensing Techniques Remote sensing utilizes satellite and/or airborne based sensors to collect information about a given object or area. Remote sensing data collection methods can be passive or active. Passive sensors (e.g., spectral imagers) detect natural radiation that is emitted or reflected by the object or area being observed. In active remote sensing (e.g., radar) energy is emitted and the resultant signal that is reflected back is measured.[1] View on Wikipedia Wikipedia Definition Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object. In modern usage, the term generally refers to the use of aerial sensor technologies
10 January 2009 PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING High Performance Computing in Remote Sensing
10 January 2009 PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING High Performance Computing in Remote Book ReviewBook Review High Performance Computing in Remote Sensing introduces the most recent advances in the incorporation of the high-performance computing (HPC) paradigm in remote sensing missions. Eighteen well
Plaza, Antonio J.
18 IEEE Geoscience and Remote Sensing Society Newsletter September 2011 International Geoscience and Remote Sensing Symposium,
18 IEEE Geoscience and Remote Sensing Society Newsletter · September 2011 International Geoscience and Remote Sensing Symposium, Honolulu, Hawai'i: IEEE, 2000. [27] R. K. Raney, "Hybrid-Polarity SAR Architecture," in CD-ROM Proceedings, IEEE International and Geoscience Remote Sensing Symposium IGARSS, Denver
Fischlin, Andreas
Remote Sensing Ayman F. Habib Data Acquisition Systems
Remote Sensing Ayman F. Habib 1 Chapter 3 Data Acquisition Systems #12;Remote Sensing Ayman F. Electro-mechanical scanners. #12;Remote Sensing Ayman F. Habib 3 Overview · LIDAR operational principles for recognition and classification purposes. #12;Remote Sensing Ayman F. Habib 4 Remote Sensing Systems Utilized
Remote Sensing Ayman F. Habib Image Registration & Rectification
Remote Sensing Ayman F. Habib 1 Chapter 5 Image Registration & Rectification #12;Remote Sensing: Resampling techniques. #12;Remote Sensing Ayman F. Habib 3 Image Registration #12;Remote Sensing Ayman F be integrated/fused. Object Space Left Image Right Image Image Registration: Objective #12;Remote Sensing Ayman
1 Remote Sensing Ayman F. Habib 1 Chapter 5 Image Registration & Rectification Remote Sensing Ayman: Resampling techniques. #12;2 Remote Sensing Ayman F. Habib 3 Image Registration Remote Sensing Ayman F. Habib be integrated/fused. Object Space Left Image Right Image Image Registration: Objective #12;3 Remote Sensing
Neural maps in remote sensing image analysis
We study the application of self-organizing maps (SOMs) for the analyses of remote sensing spectral images. Advanced airborne and satellite-based imaging spectrometers produce very high-dimensional spectral signatures that provide key information to ... Keywords: generalized relevance learning vector quantization, image analysis, remote sensing, self-organizing map
Thomas Villmann; Erzs�bet Mer�nyi; Barbara Hammer
Modeling of Spectralon diffusers for radiometric calibration in remote sensing
Modeling of Spectralon diffusers for radiometric calibration in remote sensing G. Bazalgette Courre Abstract. Onboard calibration of radiometric measurements in remote sensing is often achieved for publication May 28, 2003. 1 Introduction Light diffusers are used in remote sensing applications
Sprik, Rudolf
Remote Sensing for Biodiversity Conservation of the Albertine Rift
183 10 Remote Sensing for Biodiversity Conservation of the Albertine Rift in Eastern Africa Samuel 2003). The rapidly developing field of remote sensing has been invaluable to biodiversity conservation...............................................................................................184 10.3 Remote Sensing of the Albertine Rift .....................................................185
Multiple Instrument Distributed Aperture Sensor (MIDAS) For Planetary Remote Sensing
Multiple Instrument Distributed Aperture Sensor (MIDAS) For Planetary Remote Sensing Joe Pitman An innovative approach that enables greatly increased return from planetary science remote sensing missions as the primary remote sensing science payload, thereby reducing the cost, resources, complexity, integration
Marcus, Philip S.
Snowpack spatial variability: towards understanding its effect on remote sensing
Snowpack spatial variability: towards understanding its effect on remote sensing measurements spatial variability: towards understanding its effect on remote sensing mea- surements and snow slope large errors in these basin estimates. Remote sensing measurements offer a promising alternative, due
Marshall, Hans-Peter
Final Report for the MANNRRSS II Program Management of Nevada's Natural Resources with Remote Sensing Systems, Beatty, NV
This document provides the Final Report on the Management of Nevada�s Natural Resources with Remote Sensing Systems (MANNRRSS) II program. This is a U.S. Department of Energy (DOE)-funded project tasked with utilizing hyperspectral and ancillary electro-optical instrumentation data to create an environmental characterization of an area directly adjacent to the Nevada Test Site (NTS).
Lester Miller; Brian Horowitz; Chris Kratt; Tim Minor; Stephen F. Zitzer; James. V. Taranik; Zan L. Aslett; Todd O. Morken
On-road remote sensing of vehicle emissions in
On-road remote sensing of vehicle emissions in the Auckland Region August 2003 Technical 1877353000 www.arc.govt.nz #12;TP 198 On-Road Remote Sensing of Vehicle Emissions in the Auckland Region #12;Page i TP 198 On-Road Remote Sensing of Vehicle Emissions in the Auckland Region On-road remote sensing
Global remote sensing research trends during 19912010: a bibliometric analysis
Global remote sensing research trends during 19912010: a bibliometric analysis Yanhua Zhuang to remote sensing of SCI and SSCI databases during 19912010, this study evaluated the geographical, institutional, national, and spatiotemporal patterns in remote sensing research. Remote sensing research went up
Gruner, Daniel S.
Remote Sensing of Natural Areas: Procedures and Considerations for
1 Remote Sensing of Natural Areas: Procedures and Considerations for Assessing Vegetation Ecosystems and Remote Sensing Program Introduction Remote sensing can be defined as the acquisi- tion for rapid analysis. In the last Technical Report, we provided an in- troduction to how remote sensing can
Remote Sensing of Chiral Signatures on Mars
We describe circular polarization as a remote sensing diagnostic of chiral signatures which may be applied to Mars. The remarkable phenomenon of homochirality provides a unique biosignature which can be amenable to remote sensing through circular polarization spectroscopy. The natural tendency of microbes to congregate in close knit communities would be beneficial for such a survey. Observations of selected areas of the Mars surface could reveal chiral signatures and hence explore the possibility of extant or preserved biological material. We describe a new instrumental technique that may enable observations of this form.
Sparks, William; Germer, Thomas A; Robb, Frank; Kolokolova, Ludmilla
Geothermal Exploration Using Aviris Remote Sensing Data Over...
Using Aviris Remote Sensing Data Over Fish Lake Valley, Nv Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: Geothermal Exploration Using Aviris Remote...
Depolarization remote sensing by orthogonality breaking
A new concept devoted to sensing the depolarization strength of materials from a single measurement is proposed and successfully validated on a variety of samples. It relies on the measurement of the orthogonality breaking between two orthogonal states of polarization after interaction with the material to be characterized. The two fields orthogonality being preserved after propagation in birefringent media, this concept is shown to be perfectly suited to depolarization remote sensing through fibers, opening the way to real time depolarization endoscopy.
Fade, Julien
Hyperspectral Imaging At Yellowstone Region (Hellman & Ramsey, 2004) | Open
Page Page Edit History Facebook icon Twitter icon » Hyperspectral Imaging At Yellowstone Region (Hellman & Ramsey, 2004) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Hyperspectral Imaging At Yellowstone Region (Hellman & Ramsey, 2004) Exploration Activity Details Location Yellowstone Caldera Geothermal Region Exploration Technique Hyperspectral Imaging Activity Date Spectral Imaging Sensor AVIRIS Usefulness useful DOE-funding Unknown Notes AVIRIS airborne hyperspectral imaging. References Melanie J. Hellman, Michael S. Ramsey (2004) Analysis Of Hot Springs And Associated Deposits In Yellowstone National Park Using Aster And Aviris Remote Sensing Retrieved from "http://en.openei.org/w/index.php?title=Hyperspectral_Imaging_At_Yellowstone_Region_(Hellman_%26_Ramsey,_2004)&oldid=400435"
Remote sensing of cirrus cloud particle size and optical depth using polarimetric sensor measurements
and J. Pelon, 1999b: Remote sensing of cirrus radiativepar- ticles: Remote sensing and climatic implications.S. C. Tsay, 1999: Remote sensing of cirrus cloud parameters
Ou, Szu-cheng C; Liou, K N; Takano, Y; Slonaker, R L
Category:Remote Sensing Techniques | Open Energy Information
Remote Sensing Techniques Remote Sensing Techniques Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermalpower.jpg Looking for the Remote Sensing Techniques page? For detailed information on remote sensing techniques used as a geothermal exploration technique, click here. Category: Remote Sensing Techniques Add.png Add a new Remote Sensing Technique Subcategories This category has the following 2 subcategories, out of 2 total. A [+] Active Sensors (1 categories) 2 pages P [×] Passive Sensors 13 pages Pages in category "Remote Sensing Techniques" The following 2 pages are in this category, out of 2 total. A Active Sensors L Long-Wave Infrared Retrieved from "http://en.openei.org/w/index.php?title=Category:Remote_Sensing_Techniques&oldid=594055"
On-Road Emissions in Asia Measured by Remote Sensing.
On-Road Emissions in Asia Measured by Remote Sensing. · Donald H. Stedman, Gary A. Bishop on-road advantage · Large on-road emissions cause poor air quality. · Remote sensing measures on
IMBALANCED RADIATION ENTROPY AND IMPLICATIONS FOR REMOTE SENSING Yangang Liu, Wei Wu and Warren and radiation entropy is needed to close the system. A new remote sensing approach is presented
Johnson, Peter D.
Remote Sens. 2011, 3, x-x manuscripts; doi:xx1 Remote Sensing3
Remote Sens. 2011, 3, x-x manuscripts; doi:xx1 2 Remote Sensing3 ISSN 2072-42924 www16 7 Lebanese National Council For Scientific Research, Remote Sensing Centre, Beirut, Lebanon17 in Remote Sensing, 2011, 3(6), 1266-1283. The original publication is available at http://www.mdpi.com/ Doi
Remote Sens. 2011, 3, 2529-2551; doi:10.3390/rs3112529 Remote Sensing
Remote Sens. 2011, 3, 2529-2551; doi:10.3390/rs3112529 Remote Sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Article Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications Abstract: Using unmanned aircraft systems (UAS) as remote sensing platforms offers the unique ability
Remote Sens. 2013, 5, 5926-5943; doi:10.3390/rs5115926 Remote Sensing
Remote Sens. 2013, 5, 5926-5943; doi:10.3390/rs5115926 Remote Sensing ISSN 2072-4292 www: 6 November 2013 / Accepted: 7 November 2013 / Published: 14 November 2013 Abstract: Remote sensing challenging to model crop yields based on remotely sensed data due to the variation in radiation use
Myneni, Ranga B.
New Approaches to Forest Monitoring using Remote Sensing
New Approaches to Forest Monitoring using Remote Sensing MSS 1972 ASTER 2001 Matt Hansen and John Townshend #12;New Approaches to Forest Monitoring using Remote Sensing ·Sampling approaches for the Boreal remotely sensed data · Matthew C. Hansen, · Stephen V. Stehman, · Peter V. Potapov, · Thomas R. Loveland
Multiple Instrument Distributed Aperture Sensor (MIDAS) For Remote Sensing
Multiple Instrument Distributed Aperture Sensor (MIDAS) For Remote Sensing Joe Pitman,a , Alan that enables greatly increased return from earth and planetary science remote sensing missions is described are integrated into MIDAS as the primary remote sensing science payload, thereby reducing the cost, resources
Fienup, James R.
Remote Sensing of Railroad Locomotive Emissions: A Feasibility Study
Remote Sensing of Railroad Locomotive Emissions: A Feasibility Study Peter J. Popp, Gary A. Bishop, DC 20590 #12;Remote Sensing of Railroad Engine Emissions 2 INTRODUCTION Many cities in the United be #12;Remote Sensing of Railroad Engine Emissions 3 operated at a preset power output and fixed engine
Remote Sensing Data and Information for Hydrological Monitoring and Modeling
1 Remote Sensing Data and Information for Hydrological Monitoring and Modeling Reza Khanbilvardi Springs, MD, USA 1 Introduction Remote sensing data and information are shown great potential in supplying measurements, remote sensing based measurements are spatially averages over the pixels can appropriate
Krakauer, Nir Y.
EN-025 Tools & Applications December 2008 Lidar Remote Sensing
EN-025 Tools & Applications December 2008 Lidar Remote Sensing: Mapping British Columbia's Forests with Lasers By Christopher W. Bater, Denis Collins, and Nicholas C. Coops KEYWORDS: remote sensing, lidar. Collins, and N.C. Coops. 2008. Lidar remote sensing: mapping British Columbia's forests with lasers
Multivariate and Supervised Approaches for Mathematical Morphology in Remote Sensing
Multivariate and Supervised Approaches for Mathematical Morphology in Remote Sensing S´ebastien Lef`evre Image Sciences, Computer Sciences and Remote Sensing Laboratory (LSIIT) Models, Image and Vision Team MM Supervised MM Applications in Remote Sensing Conclusion Mathematical Morphology is a powerful
Lefèvre, Sébastien
Remote Sensing Messungen zur on-road Bestimmung der
LUBETRAX Remote Sensing Messungen zur on-road Bestimmung der Abgase von schweren Motorfahrzeugen, Chur, Zürich, Brugg Dr. Peter Maly (Projektleitung) Dr. Stefan Scherer Dr. G.A. Bishop (Remote Sensing;Inhaltsverzeichnis Zusammenfassung 1 1. Einleitung und Zielsetzung 3 1.1 Remote Sensing Messungen (FEAT) 4 1
Real-time Remote Sensing of Snowmobiles Emissions at
Real-time Remote Sensing of Snowmobiles Emissions at Yellowstone National Park: An Oxygenated Fuel 68509 #12;Real-time Remote Sensing of Snowmobile Emissions at Yellowstone National Park 2 Executive Summary In the winter of 1999, the University of Denver conducted a remote sensing study at Yellowstone
Wireless Tomography, Part I: A Novel Approach to Remote Sensing
Wireless Tomography, Part I: A Novel Approach to Remote Sensing R. C. Qiu, M. C. Wicks, L. Li, Z. email@example.com Abstract--Wireless tomography, a novel approach to remote sensing, is proposed--radio frequency tomography, remote sensing, cognitive radar, cognitive radio. I. INTRODUCTION The ever increasing
Qiu, Robert Caiming
Remote Sensing of Western-Caribbean Coral Communities
Remote Sensing of Western-Caribbean Coral Communities Introduction: Despite the fact that coral. Remote sensing has been suggested as a potential tool for monitoring the spatial extent, health the Spectral Reflectance of Corals In-Situ. GIScience and Remote Sensing. Maeder, J., Narumalani, S., Rundquist
Nebraska-Lincoln, University of
Remote Sensing Tools Can Add Precision to Your Farming Operation
Remote Sensing Tools Can Add Precision to Your Farming Operation Harold Kaufman, Terry Wheeler is therefore important for the success of precision agriculture on individual farms. Remote sensing is a method.digitalglobe.com). However, the most inexpensive method of remote sensing is to shoot infrared images with a 35mm camera
Mukhtar, Saqib
UAS remote sensing missions for rangeland applications Andrea S. Lalibertea
UAS remote sensing missions for rangeland applications Andrea S. Lalibertea *, Craig Wintersb for remote sensing applications from unmanned aircraft systems (UAS). In this article, we describe a proven workflow for UAS-based remote sensing, and discuss geometric errors of image mosaics and classification
Remote Sensing in Support of Multilateral Environmental Agreements
Remote Sensing in Support of Multilateral Environmental Agreements Alex de Sherbinin CIESIN, from 172 in 1970 to more than 475 today · the sophistication of remote sensing and geospatial sets · the number of global and regional initiatives attempting to apply remote sensing (RS
Columbia University
1 Remote Sensing of Natural Areas: Procedures and Considerations for Assessing Stress and Pollution Jason Goldberg, James Perry, and John Anderson Coastal Ecosystems and Remote Sensing Program Introduction Remote sensing can be defined as the acquisi- tion and measurement of data/information on some
Remote Sensing Applications for Sustainable Aquaculture in Africa
Remote Sensing Applications for Sustainable Aquaculture in Africa Joseph E. Quansah1 , Gilbert L of the science with respect to remote sensing applications for aquaculture, including site location, aquaculture for multi-sensor remote sensing deployment to support sustainable fish production in these environments
Jiang, Wen
Microwave remote sensing of ionized air.
We present observations of microwave scattering from ambient room air ionized with a negative ion generator. The frequency dependence of the radar cross section of ionized air was measured from 26.5 to 40 GHz (Ka-band) in a bistatic mode with an Agilent PNA-X series (model N5245A) vector network analyzer. A detailed calibration scheme is provided to minimize the effect of the stray background field and system frequency response on the target reflection. The feasibility of detecting the microwave reflection from ionized air portends many potential applications such as remote sensing of atmospheric ionization and remote detection of radioactive ionization of air.
Liao, S.; Gopalsami, N.; Heifetz, A.; Elmer, T.; Fiflis, P.; Koehl, E. R.; Chien, H. T.; Raptis, A. C. (Nuclear Engineering Division)
1 CHAPTER 1CHAPTER 1CHAPTER 1:CHAPTER 1: REMOTE SENSING OFREMOTE SENSING OF THE ENVIRONMENTTHE ENVIRONMENT REFERENCE: Remote Sensing of the Environment John R. Jensen (2007) Second Edition Pearson Prentice Hall What is Remote Sensing? OBSERVING THE EARTH FROM SPACE #12;2 Spectral Reflectance Measurement
ATMO 642 Remote Sensing of the Atmosphere Jan. 17, 2012 ATMO 642: Remote Sensing of the Atmosphere
ATMO 642 Remote Sensing of the Atmosphere Jan. 17, 2012 ATMO 642: Remote Sensing of the Atmosphere. 15 % Exam 1 15 % Exam 2 15 % Exam 3 30 % Homework/In class exercises 25 % Project #12;ATMO 642 Remote Sensing of the Atmosphere Jan. 17, 2012 Project: We are going to have a semester long research project
Polarimetric Remote Sensing of Solar System Objects
This book outlines the basic physical principles and practical methods of polarimetric remote sensing of Solar System objects and summarizes numerous advanced applications of polarimetry in geophysics and planetary astrophysics. In the first chapter we present a complete and rigorous theory of electromagnetic scattering by disperse media directly based on the Maxwell equations and describe advanced physically based modeling tools. This is followed, in Chapter 2, by a theoretical analysis of polarimetry as a remote-sensing tool and an outline of basic principles of polarimetric measurements and their practical implementations. In Chapters 3 and 4, we describe the results of extensive ground-based, aircraft, and spacecraft observations of numerous Solar System objects (the Earth and other planets, planetary satellites, Saturn's rings, asteroids, trans-Neptunian objects, and comets). Theoretical analyses of these data are used to retrieve optical and physical characteristics of planetary surfaces and atmospheres...
Mishchenko, M I; Kiselev, N N; Lupishko, D F; Tishkovets, V P; Kaydash, V G; Belskaya, I N; Efimov, Y S; Shakhovskoy, N M
Remote shock sensing and notification system
DOE Patents (OSTI)
A low-power shock sensing system includes at least one shock sensor physically coupled to a chemical storage tank to be monitored for impacts, and an RF transmitter which is in a low-power idle state in the absence of a triggering signal. The system includes interface circuitry including or activated by the shock sensor, wherein an output of the interface circuitry is coupled to an input of the RF transmitter. The interface circuitry triggers the RF transmitter with the triggering signal to transmit an alarm message to at least one remote location when the sensor senses a shock greater than a predetermined threshold. In one embodiment the shock sensor is a shock switch which provides an open and a closed state, the open state being a low power idle state.
Muralidharan, Govindarajan (Knoxville, TN); Britton, Charles L. (Alcoa, TN); Pearce, James (Lenoir City, TN); Jagadish, Usha (Knoxville, TN); Sikka, Vinod K. (Oak Ridge, TN)
A low-power shock sensing system includes at least one shock sensor physically coupled to a chemical storage tank to be monitored for impacts, and an RF transmitter which is in a low-power idle state in the absence of a triggering signal. The system includes interference circuitry including or activated by the shock sensor, wherein an output of the interface circuitry is coupled to an input of the RF transmitter. The interface circuitry triggers the RF transmitting with the triggering signal to transmit an alarm message to at least one remote location when the sensor senses a shock greater than a predetermined threshold. In one embodiment the shock sensor is a shock switch which provides an open and a closed state, the open state being a low power idle state.
Active and Passive Remote Sensing Diagram | Open Energy Information
2013 DOI Not Provided Check for DOI availability: http:crossref.org Online Internet link for Active and Passive Remote Sensing Diagram Citation National Aeronautics and...
Remote Sensing- Principles And Interpretation | Open Energy Informatio...
Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Reference Material: Remote Sensing- Principles And Interpretation Details Activities (1) Areas (1) Regions (0)...
An Integrated Mapping And Remote Sensing Investigation Of The...
And Remote Sensing Investigation Of The Structural Control For Fumarole Location In The Eburru Volcanic Complex, Kenya Rift Jump to: navigation, search GEOTHERMAL ENERGYGeothermal...
Method of determining forest production from remotely sensed forest parameters
A method of determining forest production entirely from remotely sensed data in which remotely sensed multispectral scanner (MSS) data on forest 5 composition is combined with remotely sensed radar imaging data on forest stand biophysical parameters to provide a measure of forest production. A high correlation has been found to exist between the remotely sensed radar imaging data and on site measurements of biophysical 10 parameters such as stand height, diameter at breast height, total tree height, mean area per tree, and timber stand volume.
Corey, J.C.; Mackey, H.E. Jr.
Airborne remote sensing of estuarine intertidal radionuclide concentrations.
??The ability to map industrial discharges through remote sensing provides a powerful tool in environmental monitoring. Radionuclide effluents have been discharged, under authorization, into the� (more)
Rainey, Michael Patrick
Remote sensing survey of the Coso geothermal area, Inyo county...
sensing survey of the Coso geothermal area, Inyo county, California. Technical publication 1968--1971 Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Report: Remote...
Visible/Near-Infrared Hyperspectral Sensing of Solids under Controlled Environmental Conditions
We describe the use of a wind tunnel for conducting controlled passive hyperspectral imaging experiments. Passive techniques are potentially useful for detecting explosives, solid-phase chemicals and other materials of interest from a distance so as to provide operator safety. The Pacific Northwest National Laboratory operates a wind tunnel facility that can generate and circulate artificial atmospheres to control lighting, humidity, temperature, aerosol burdens, and obscurants. We will present recent results describing optimized sensing of solids over tens of meters distance using both visible and near-infrared cameras, as well as the effects of certain environmental parameters on data retrieval.
Bernacki, Bruce E.; Anheier, Norman C.; Mendoza, Albert; Fritz, Brad G.; Johnson, Timothy J.
Near-surface remote sensing of canopy architecture and land-atmosphere interactions in an oak savanna ecosystem
MODIS satellite data. Remote Sensing of Environment, 106,a joint flux tower, remote sensing and modelling analysis.of the algorithm. Remote Sensing of Environment, 110,
Ryu, Youngryel
int. j. remote sensing, 1999, vol. 20, no. 17, 3281 3291 A remote sensing and GIS-based model of habitats and biodiversity in
int. j. remote sensing, 1999, vol. 20, no. 17, 3281± 3291 A remote sensing and GIS-based model, University of Kansas, Lawrence, KS 66047, USA and §Kansas Applied Remote Sensing (KARS) Program, 2291 Irving 31 May 1998) Abstract. We used remotely sensed data and geographical information systems (GIS
Debinski, Diane M.
Neural network uncertainty assessment using Bayesian statistics with application to remote sensing
Neural network uncertainty assessment using Bayesian statistics with application to remote sensing for many inversion problems in remote sensing; however, uncertainty estimates are rarely provided Meteorology and Atmospheric Dynamics: General or miscellaneous; KEYWORDS: remote sensing, uncertainty, neural
Aires, Filipe
Remote Sensing and Field Mapping: Requisite Bed Fellows for Assessing River Systems
al. 1991. What Does Remote Sensing Do For Ecology? Ecology,B. 2006. Introduction to remote sensing. Edition 4. Guilford2004. The role of remote sensing technology in the EU water
Beagle, Julie
Research Activities in the Hyperspectral Computing
hyperspectral images using high performance computing architectures; this research has been funded and Processing (2009, 2010, 2011 and 2012), and the SPIE Conference on High Performance Computing in Remote Sensing (2011 and 2012). The group has edited the first textbook focused on high performance computing
Structural investigations at the Coso geothermal area using remote sensing
investigations at the Coso geothermal area using remote sensing investigations at the Coso geothermal area using remote sensing information, Inyo County, California Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Structural investigations at the Coso geothermal area using remote sensing information, Inyo County, California Details Activities (1) Areas (1) Regions (0) Abstract: Remote sensing studies have been made in and adjacent to the Coso geothermal field using TM FCC satellite imagery, 1:100,000 scale, US Geological Survey orthophotos, 1:24,OOO scale, and proprietary black-and-white photography by California Energy Company, Inc., at various scales including black-and-white positive film transparencies at a scale of 1:6,000. These studies have been made in an attempt to understand the complex geology seen on the surface and to try to improve the method of
Researcher, Los Alamos National Laboratory - Space and Remote Sensing Group
National Nuclear Security Administration (NNSA)
and Remote Sensing Group and Remote Sensing Group | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > About Us > Who We Are > In The Spotlight > Patrick Colestock Researcher, Los Alamos National Laboratory - Space and Remote Sensing Group Patrick Colestock Patrick Colestock Role: Researcher, Los Alamos National Laboratory - Space and Remote Sensing
REMOTE SENSING FOR ENVIRONMENTAL BASELINING AND MONITORING D. B. Reister
and monitor environmental issues. By understanding environmental conditions, capital and remediation projects can be accelerated, saving millions of dollars. By monitoring conditions more closelyREMOTE SENSING FOR ENVIRONMENTAL BASELINING AND MONITORING D. B. Reister Oak Ridge National
Spatial Distribution of Surface Fluxes Estimated from Remotely Sensed Variables
This study relates surface fluxes to remotely sensed variables over well-defined variations of surface wetness and vegetation. The surface fluxes are estimated from repeated Twin Otter aircraft flights at 33 m above the surface after correcting ...
Jielun Sun; L. Mahrt
Field calibration and validation of remote-sensing surveys
The Optical Collection Suite OCS is a ground-truth sampling system designed to perform in situ measurements that help calibrate and validate optical remote-sensing and swath-sonar surveys for mapping and monitoring coastal ...
Shachak Pe'eri, Andy McLeod, Paul Lavoie, Seth Ackerman, James Gardner, Christopher Parrish
The Fundamental Limitation of Atmospheric Remote Sensing by Dissection...
The Fundamental Limitation of Atmospheric Remote Sensing by Dissection of Single-Photon State Space, and the Paradigms that Lie Beyond Illustrated with WAIL, O2 A-BandLine...
ARM - Field Campaign - Remote Cloud Sensing (RCS) Field Evaluation
love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Remote Cloud Sensing (RCS) Field Evaluation 1994.04.01 - 1994.05.31 Lead Scientist :...
love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Remote Cloud Sensing (RCS) Field Evaluation 1995.04.01 - 1995.05.31 Lead Scientist :...
Oceanographic Field Estimates from Remote Sensing and Glider Fleets
This work investigates the merging of temperature observations from a glider fleet and remote sensing, based on a field experiment conducted in an extended coastal region offshore La Spezia, Italy, in August 2010. Functional optimal interpolation ...
A. Alvarez; B. Mourre
Remote Sensing of Hail with a Dual Linear Polarization Radar
A technique for the remote sensing of hail with an S-band dual linear polarization radar is described. The method employs a new hail signal HDR, which is derived from disdrometer measurements of raindrop size distributions. Experimental ...
K. Aydin; T. A. Seliga; V. Balaji
Hyperspectral Imaging | Open Energy Information
Hyperspectral Imaging Hyperspectral Imaging Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Hyperspectral Imaging Details Activities (4) Areas (4) Regions (1) NEPA(1) Exploration Technique Information Exploration Group: Remote Sensing Techniques Exploration Sub Group: Passive Sensors Parent Exploration Technique: Passive Sensors Information Provided by Technique Lithology: mineral maps can be used to show the presence of hydrothermal minerals and mineral assemblages Stratigraphic/Structural: aerial photographs can show structures Hydrological: delineate locations of surface water features Thermal: vegetation maps can show plants stressed due to nearby thermal activity Cost Information Low-End Estimate (USD): 8.63863 centUSD 0.00863 kUSD 8.63e-6 MUSD
EAST TEXAS FOREST INVENTORY (ETFI) PILOT PROJECT REMOTE SENSING PHASE Dr. Daniel R. Unger, Remote Resources Institute Arthur Temple College of Forestry Stephen F. Austin State University Nacogdoches, Texas the forest resources of East Texas based on the premise that the quantification and qualification of forest
Hung, I-Kuai
Remote Sensing Technology Center of Japan (RESTEC) Collaborative Research and Training
Remote Sensing Technology Center of Japan (RESTEC) Collaborative Research and Training of Remote Sensing Technology August 2010 Kyoichi Ito Deputy General Manager Applications and Services Dept. Remote Sensing Technology Center of Japan (RESTEC) #12;Remote Sensing Technology Center of Japan (RESTEC
Coupling remote sensing with computational fluid dynamics modelling to estimate lake chlorophyll-a concentration
Coupling remote sensing with computational fluid dynamics modelling to estimate lake chlorophyll form 17 October 2000; accepted 1 June 2001 Abstract A remotely sensed image of Loch Leven, a shallow in the remotely sensed image. It is proposed that CFD modelling benefits the interpretation of remotely sensed
Remote sensing of the coastal zone: an overview and priorities for future research
Remote sensing of the coastal zone: an overview and priorities for future research TIM J. MALTHUS of the International Journal of Remote Sensing on Remote Sensing of the Coastal Marine Environment to highlight recent advances in knowledge of remote sensing of the coastal zone and to define a series of priorities where
Remote Sensing of Changing Cryosphere, LandIce and Snow -Workshop of the European Association of Remote Sensing Laboratories (EARSeL),
Remote Sensing of Changing Cryosphere, LandIce and Snow - Workshop of the European Association of Remote Sensing Laboratories (EARSeL), Bern, Switzerland, 11-13 February 2008 Page 1 Potential and limits Max-Planck Institute of Meteorology, Germany #12;Remote Sensing of Changing Cryosphere, Land
Zahn, Matthias
Remote Sensing of Irrigated Agriculture: Opportunities and Challenges
Abstract: Over the last several decades, remote sensing has emerged as an effective tool to monitor irrigated lands over a variety of climatic conditions and locations. The objective of this review, which summarizes the methods and the results of existing remote sensing studies, is to synthesize principle findings and assess the state of the art. We take a taxonomic approach to group studies based on location, scale, inputs, and methods, in an effort to categorize different approaches within a logical framework. We seek to evaluate the ability of remote sensing to provide synoptic and timely coverage of irrigated lands in several spectral regions. We also investigate the value of archived data that enable comparison of images through time. This overview of the studies to date indicates that remote sensing-based monitoring of irrigation is at an intermediate stage of development at local scales. For instance, there is overwhelming consensus on the efficacy of vegetation indices in identifying irrigated fields. Also, single date imagery, acquired at peak growing season, may suffice to identify irrigated lands, although to multi-date image data are necessary for improved classification and to distinguish different crop types. At local scales, the mapping of irrigated lands with remote sensing is also strongly affected by the
Mutlu Ozdogan; Yang Yang; George Allez; Chelsea Cervantes
Remote sensing for wind power potential: a prospector's handbook
Remote sensing can aid in identifying and locating indicators of wind power potential from the terrestrial, marine, and atmospheric environments (i.e.: wind-deformed trees, white caps, and areas of thermal flux). It is not considered as a tool for determining wind power potential. A wide variety of remotely sensed evidence is described in terms of the scale at which evidence of wind power can be identified, and the appropriate remote sensors for finding such evidence. Remote sensing can be used for regional area prospecting using small-scale imagery. The information from such small-scale imagery is most often qualitative, and if it is transitory, examination of a number of images to verify presistence of the feature may be required. However, this evidence will allow rapid screening of a large area. Medium-scale imagery provides a better picture of the evidence obtained from small-scale imagery. At this level it is best to use existing imagery. Criteria relating to land use, accessibility, and proximity of candidate sites to nearby transmission lines can also be effectively evaluated from medium-scale imagery. Large-scale imagery provides the most quantitative evidence of the strength of wind. Wind-deformed trees can be identified at a large number of sites using only a few hours in locally chartered aircraft. A handheld 35mm camera can adequately document any evidence of wind. Three case studies that employ remote sensing prospecting techniques are described. Based on remotely sensed evidence, the wind power potential in three geographically and climatically diverse areas of the United States is estimated, and the estimates are compared to actual wind data in those regions. In addition, the cost of each survey is discussed. The results indicate that remote sensing for wind power potential is a quick, cost effective, and fairly reliable method for screening large areas for wind power potential.
Wade, J.E.; Maule, P.A.; Bodvarsson, G.; Rosenfeld, C.L.; Woolley, S.G.; McClenahan, M.R.
On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 5,
On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 5, November 2004 Gary A, Suite 140 Alpharetta, Georgia 30022 Contract No. E-23-9 #12;On-Road Remote Sensing of Automobile-day remote sensing study in the Phoenix, AZ area in the fall of 2004. The remote sensor used in this study
On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 4,
On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 4, January 2003 Daniel A year of a multi-year remote sensing study in the Denver area. The remote sensor used in this study channel was somewhat significant. #12;On-Road Remote Sensing in the Denver Area: Year 4 2 INTRODUCTION
On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 5,
On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 5, January 2005 Gary A, Suite 140 Alpharetta, Georgia 30022 Contract No. E-23-9 #12;On-Road Remote Sensing of Automobile-day remote sensing study in the Denver, CO area in the winter of 2005. The remote sensor used in this study
On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 1
On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 1 Gary A. Bishop, Sajal S-day remote sensing study in the Phoenix, AZ area in the fall of 1998. The remote sensor used in this study selected for 1999. On-Road Remote Sensing in the Phoenix Area: Year 1 2 #12;INTRODUCTION Many cities
On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 1
On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 1 Peter J. Popp, Sajal S Center Parkway Atlanta, Georgia 30346 CRC Project No. E-23-4-99 #12;On-Road Remote Sensing in the Denver-year remote sensing study in the Denver area. The remote sensor used in this study is capable of measuring
On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 4,
On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 4, November 2002 Gary A conducted a five-day remote sensing study in the Phoenix, AZ area in the fall of 2002. The remote sensor #12;On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 4 2 by 5 years
On-Road Remote Sensing of Automobile Emissions in the Omaha Area: Year 2,
On-Road Remote Sensing of Automobile Emissions in the Omaha Area: Year 2, September 2004 Gary A of the work. #12;On-Road Remote Sensing in the Omaha Area: Year 2 2 EXECUTIVE SUMMARY The University of Denver conducted a five-day remote sensing study in the Omaha, Nebraska area in September of 2004. The remote
An Integrated Mapping And Remote Sensing Investigation Of The Structural
Mapping And Remote Sensing Investigation Of The Structural Mapping And Remote Sensing Investigation Of The Structural Control For Fumarole Location In The Eburru Volcanic Complex, Kenya Rift Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: An Integrated Mapping And Remote Sensing Investigation Of The Structural Control For Fumarole Location In The Eburru Volcanic Complex, Kenya Rift Details Activities (0) Areas (0) Regions (0) Abstract: The Eburru volcanic complex is located in the central portion of the Kenya Rift. It belongs to the complex of volcanoes - Suswa, Longonot, Olkaria, Eburru, and Menengai - that. form the Kenya Dome. These volcanoes are geothermal fields, and Olkaria is the site for the first geothermal power plant commissioned in 1981 in the East African Rift System (EARS).
Geothermal Exploration Using Aviris Remote Sensing Data Over Fish Lake
Using Aviris Remote Sensing Data Over Fish Lake Using Aviris Remote Sensing Data Over Fish Lake Valley, Nv Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: Geothermal Exploration Using Aviris Remote Sensing Data Over Fish Lake Valley, Nv Details Activities (1) Areas (1) Regions (0) Abstract: Fish Lake Valley, in Esmeralda County, Nevada, sits at the southern end of the Mina Deflection where the very active Death Valley-Furnace Creek-Fish Lake Valley fault system makes a right step to transfer slip northward into the Walker Lane. Northern Fish Lake Valley has been pulling part since ca. 6 Ma, primarily along the Emigrant Peak normal fault zone (Stockli et al., 2003). Elevated tectonic activity in Fish Lake Valley suggests there may be increased fracture permeability to facilitate
A remote sensing observatory for hydrologic sciences: A genesis for scaling to continental hydrology
A remote sensing observatory for hydrologic sciences: A genesis for scaling to continental. It is in this spirit that we advocate establishing a hydrologic remote sensing observatory (RSO) to advance sensing al. (2006), A remote sensing observatory for hydrologic sciences: A genesis for scaling
Katul, Gabriel
Remote Sensing For Geothermal Exploration Over Buffalo Valley, Nv | Open
Sensing For Geothermal Exploration Over Buffalo Valley, Nv Sensing For Geothermal Exploration Over Buffalo Valley, Nv Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Remote Sensing For Geothermal Exploration Over Buffalo Valley, Nv Details Activities (1) Areas (1) Regions (0) Abstract: Remote sensing is a useful tool for identifying the surface expression of geothermal systems based on characteristic mineral assemblages that result from hydrothermal alteration (Kratt et al., 2004; Vaughan et al., 2005). Buffalo Valley in Pershing and Lander Counties, Nevada, is an area of high potential for geothermal energy production (Shevenell et al., 2004). Geothermal heat is expressed by several hot springs with surface temperatures of up to 79°C (Olmsted et al., 1975). The hot springs and a chain of Quaternary cinder cones appear to be
Remote sensing for detection of cotton aphid- (Homoptera : Aphididae) and spider mite- (Acari : Tetranychidae) infested cotton in the San Joaquin Valley
using multispectral remote sensing. Proc. Beltwide Cottonusing multispectral remote sensing. Proc. Beltwide CottonRichards, J.A. 1993. Remote sensing digital image analysis.
Reisig, D; Godfrey, L
The Fog Remote Sensing and Modeling Field Project
The main purpose of this work is to describe a major field project on fog and summarize the preliminary results. Three field phases of the Fog Remote Sensing and Modeling (FRAM) project were conducted over the following two regions of Canada: 1) ...
I. Gultepe; B. Hansen; S. G. Cober; G. Pearson; J. A. Milbrandt; S. Platnick; P. Taylor; M. Gordon; J. P. Oakley
Using Remote Sensing for Natural Disaster Management Tara Srihari
and maintenance [5]. #12;2.1 Acquiring Data Disaster response is dynamic and time sensitive. Some data needsUsing Remote Sensing for Natural Disaster Management Tara Srihari Department of Computing email@example.com December 8, 2008 Abstract Natural disasters can cause devastating human, property, and economic loss
Remote Sensing Of Photosynthetic Processes By Photochemical Reflectance Index (PRI)
The Photochemical Reflectance Index (PRI) has been proposed as a tool for the estimation of leaf and canopy light?use efficiency and photosynthesis from remote?sensing data. The application of the index is based on more than fifteen years of spectroscopic studies at the leaf level
S. Raddi; S. Cortes; E. Vicinelli; F. Magnani
A new parallel tool for classification of remotely sensed imagery
In this paper, we describe a new tool for classification of remotely sensed images. Our processing chain is based on three main parts: (1) pre-processing, performed using morphological profiles which model both the spatial (high resolution) and the spectral ... Keywords: Google maps' engine, Graphics processing units (GPUs), Information extraction, Parallel processing, Satellite image classification
Sergio Bernab�; Antonio Plaza; Prashanth Reddy Marpu; Jon Atli Benediktsson
REMOTE SENSING OF BURN SEVERITY AND THE INTERACTIONS BETWEEN BURN SEVERITY, TOPOGRAPHY likely to change vegetation type. Finally, vegetation recovery, estimated using a remotely-sensed................................................................................6 Chapter 2. Mapping Burn Severity Using Satellite Remote Sensing..........................8
Ruess, Roger W.
Post-fire hydrologic behavior and recovery: Advancing spatial and temporal prediction with an emphasis on remote sensing
Engineering and Remote Sensing, Vol. 70, no 7, July 2004,burning with the use of remote sensing and GIS. Catena, 70:regeneration after fire by remote sensing. In: Traboud, L. (
Kinoshita, Alicia
Remote Sensing and Control for Establishing and Maintaining Digital Irrigation
The remotely sensed data from an unknown location is transmitted in real time through internet and gathered in a PC. The data is collected for a considerable period of time and analyzed in PC as to assess the suitability and fertility of the land for establishing an electronic plantation in that area. The analysis also helps deciding the plantation of appropriate plants in the location identified. The system performing this task with appropriate transducers installed in remote area, the methodologies involved in transmission and data gathering are reported.. The second part of the project deals with data gathering from remote site and issuing control signals to remote appliances in the site; all performed through internet. Therefore, this control scheme is a duplex system monitoring the irrigation activities by collecting data in one direction and issuing commands on the opposite direction. This scheme maintains the digital irrigation systems effectively and efficiently as to utilize the resources optimally f...
cellatoglu, Akin
Compressed Remote Sensing of Sparse Objects
The linear inverse source and scattering problems are studied from the perspective of compressed sensing, in particular the idea that sufficient incoherence and sparsity guarantee uniqueness of the solution. By introducing the sensor as well as target ensembles, the maximum number of recoverable targets is proved to be at least proportional to the number of measurement data modulo a log-square factor with overwhelming probability. Important contributions of the analysis include the discoveries of the threshold aperture, consistent with the classical Rayleigh criterion, and the decoherence effect induced by random antenna locations. The prediction of theorems are confirmed by numerical simulations.
Fannjiang, Albert; Strohmer, Thomas
Remote sensing of breaking wave phase speeds with application to non-linear depth inversions
Remote sensing of breaking wave phase speeds with application to non-linear depth inversions high-resolution remote sensing video and surface elevation records from fixed, in-situ wave gages. Wave phase speeds are extracted from the remote sensing data using a feature tracking technique, and local
On-Road Remote Sensing of Vehicle Exhaust Emissions in Auckland, New Zealand
On-Road Remote Sensing of Vehicle Exhaust Emissions in Auckland, New Zealand S. Xie, J. G. Bluett Zealand's vehicle fleet. The remote sensing campaign was implemented to establish the emissions profile of this remote sensing campaign was to redress this knowledge gap, improve understanding of the emissions
On-Road Remote Sensing of Automobile Emissions in the Los Angeles Area: Year 3
On-Road Remote Sensing of Automobile Emissions in the Los Angeles Area: Year 3 (Riverside) Sajal S., Suite 140 Alpharetta, GA. 30022 Contract No. E-23-4 #12;On-Road Remote Sensing in the Los Angeles Area sensing study in the Los Angeles, CA area. The remote sensor used in this study is capable of measuring
#12;ON-ROAD REMOTE SENSING OF CO AND HC EMISSIONS IN CALIFORNIA Final Report Contract No. A032 in fulfillment of A032-093, On-Road Remote Sensing of CO and HC Emissions in California by the University to accelerations and cruises entering a freeway ramp at highway speeds. The remote sensing device measures the CO
On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 4
On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 4 Sajal S. Pokharel, Gary Alpharetta, Georgia 30022 Contract No. E-23-4 #12;On-Road Remote Sensing in the Chicago Area: Year 4 2 EXECUTIVE SUMMARY The University of Denver has completed the first four years of a multi-year remote sensing
On-Road Remote Sensing of Automobile Emissions in the LaBrea Area: Year 2
On-Road Remote Sensing of Automobile Emissions in the LaBrea Area: Year 2 Mitchell J. Williams 140 Alpharetta, Georgia 30022 Contract No. E-23-4 #12;On-Road Remote Sensing of Automobile Emissions in the LaBrea Area: Year 2 1 EXECUTIVE SUMMARY The University of Denver conducted a five-day remote sensing
On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 5,
On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 5, September 2002 Gary A five years of a multi-year remote sensing study in the Chicago area, with measurements made as to the extent I/M programs and #12;On-Road Remote Sensing in the Chicago Area: Year 5 2 special fuels contribute
Remote sensing of seasonal stratification dynamics in the southern Irish Sea Claire Neil a
Remote sensing of seasonal stratification dynamics in the southern Irish Sea Claire Neil a , Alex Sea mixing Tidal front Optical remote sensing In early summer, a well-defined front forms resolution achievable by remote sensing in a single year was limited by the high incidence of cloud cover
Polton, Jeff
Remote sensing estimates of glacier mass balances in the Himachal Pradesh (Western Himalaya, India)
Remote sensing estimates of glacier mass balances in the Himachal Pradesh (Western Himalaya, India., Rajesh K., Sarfaraz A., Wagnon P., & Chevallier P., Remote sensing estimates of glacier mass balances in the Himachal Pradesh (Western Himalaya, India). Remote Sensing Environ., 108(3), 327-338, doi:10.1016/j
Remote sensing approaches for reconstructing fire perimeters and burn severity mosaics in desert spring ecosystems
Remote sensing approaches for reconstructing fire perimeters and burn severity mosaics in desert. Remote sensing methods have been used in other environments to gain information about fires that have reported sizes of less than one hectare. Additional refinement of remote sensing methods is necessary
Weisberg, Peter J.
Remote sensing the wind using Lidars and Sodars Ioannis Antoniou (1)
Remote sensing the wind using Lidars and Sodars Ioannis Antoniou (1) , Mike Courtney(1) , Hans E in increased hub heights and increased rotor diameters, thus making remote sensing an important issue for wind energy applications. Remote sensing techniques offer the ability to determine wind speed and direction
Satellite Remote Sensing and GIS -FS 2011 The aims of this course are threefold
Programme Satellite Remote Sensing and GIS - FS 2011 Aims The aims of this course are threefold of satellite remote sensing, often in relation to GIS, in different disciplines with invited speakers from about what is happening with satellite remote sensing in Switzerland and how it works in professional
Giger, Christine
Satellite remote sensing for an ecosystem approach to fisheries E. Chassot1
Satellite remote sensing for an ecosystem approach to fisheries management E. Chassot1 *, S 24; fax: +33 499 57 32 95; e-mail: email@example.com. Satellite remote sensing (SRS and associated fish aggregation. Second, we provide a comprehensive review of remotely sensed data applications
Foreword to the Special Issue on Pattern Recognition in Remote Sensing
1 Foreword to the Special Issue on Pattern Recognition in Remote Sensing The constant increase in the amount of remotely sensed images as well as the urgent need for the extraction of useful information from techniques to unsolved problems in remote sensing image analysis that cannot be handled by using traditional
Aksoy, Selim
Texas A&M University Dept. of Forest Science Course title Advanced Remote Sensing
1 Texas A&M University Dept. of Forest Science Course title Advanced Remote Sensing Course number of this course is twofold: to introduce students with a basic knowledge of remote sensing to advanced topics in digital remote sensing applications and to instill enthusiasm in this subject area to encourage future
On-Road Remote Sensing of Heavy-duty Diesel Truck
On-Road Remote Sensing of Heavy-duty Diesel Truck Emissions in the Austin- San Marcos Area: August Denver, CO 80208 November 1998 UNIVERSITY Of DENVER #12;Remote Sensing of Heavy-duty Trucks in Austin be observed by probing the exhaust. In the process of measuring the ratios, the remote sensing unit results
APPLICATION OF REMOTE SENSING AND GIS FOR GEOLOGICAL INVESTIGATION AND GROUNDWATER POTENTIAL ZONE FOR THE DEGREE OF MASTER OF SCIENCE IN GIS AND REMOTE SENSING BY TEWODROS RANGO GODEBO JULY 2005 #12;INTRODUCTION been done with the absence of the application of Remote Sensing and Geographic Information System (GIS
Mege, Daniel
On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 3
On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 3 Sajal S. Pokharel, Gary Alpharetta, Georgia 30022 Contract No. E-23-4 #12;On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 3 1 EXECUTIVE SUMMARY The University of Denver conducted a five-day remote sensing
A CIESIN Thematic Guide to Social Science Applications of Remote Sensing
A CIESIN Thematic Guide to Social Science Applications of Remote Sensing Alex de Sherbinin 1-98162 #12;CIESIN Thematic Guides Social Science Applications of Remote Sensing 2 Copyright © 2002://sedac.ciesin.columbia.edu/tg/guide_main.jsp. #12;CIESIN Thematic Guides Social Science Applications of Remote Sensing 3 1.0 Social Science
Colorado State University Title: Graduate Research Assistantship in Remote Sensing of
Colorado State University Title: Graduate Research Assistantship in Remote Sensing of Vegetation vegetation Evapotranspiration (ET) using Remote Sensing (RS) methods. The focus will be on determining actual content sensors and remote sensing/GIS is desirable but not required. Experience or familiarity
On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 2
On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 2 Sajal S. Pokharel, Gary A Alpharetta, Georgia 30022 CRC Project No. E-23-4 #12;On-Road Remote Sensing in the Denver Area: Year 2 2 EXECUTIVE SUMMARY The University of Denver has completed the second year of a five-year remote sensing study
GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. , NO. , 200 1 An automatized frequency analysis for vine plot
GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. , NO. , 200 1 An automatized frequency analysis for vine plot detection and delineation in remote sensing Carole Delenne, Gilles Rabatel and Michel high spatial resolution remotely sensed data. About 89% of vine plots are detected corresponding
On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 6,
On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 6, January 2007 Gary A 80208 June 2007 #12;On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 6 1 EXECUTIVE SUMMARY The University of Denver conducted a three-day remote sensing study in the Denver, CO area
On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 3
On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 3 Sajal S. Pokharel, Gary Alpharetta, Georgia 30022-8246 Contract No. E-23-4 #12;On-Road Remote Sensing in the Chicago Area: Year 3 2 EXECUTIVE SUMMARY The University of Denver has completed the first three years of a five-year remote sensing
On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 2
On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 2 Sajal S. Pokharel, Gary Alpharetta, Georgia 30022 Contract No. E-23-4 #12;On-Road Remote Sensing of Automobile Emissions in the Phoenix Area: Year 2 1 EXECUTIVE SUMMARY The University of Denver conducted a five-day remote sensing
On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 1
On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 1 Peter J. Popp, Gary A, Georgia 30346 Contract No. E-23-4 #12;On-Road Remote Sensing in the Chicago Area: Year 1 2 EXECUTIVE SUMMARY The University of Denver conducted a five-day remote sensing study in the Chicago area in the fall
Remote-sensing reflectance determinations in the coastal ocean environment: impact of
Remote-sensing reflectance determinations in the coastal ocean environment: impact of instrumental the potential impact of instrumental characteristics and environmental variability on shipboard remote-sensing above the sea surface by 818%, and remote-sensing reflectance by 1224%. Variations in radio- metric
Siegel, David A.
Integrating remote sensing and GIS for prediction of rice protein contents
#12;1 Integrating remote sensing and GIS for prediction of rice protein contents Chanseok RYU1 harvest was established by remote sensing (RS) and analyzed to select the key management factors the key management factor by the difference in the Field GreenNDVI. Keywords: remote sensing, geographic
Takada, Shoji
On-Road Remote Sensing of Automobile Emissions in the Los Angeles Area: Year 2
On-Road Remote Sensing of Automobile Emissions in the Los Angeles Area: Year 2 Sajal S. Pokharel Alpharetta, GA. 30022 Contract No. E-23-4 #12;On-Road Remote Sensing in the Los Angeles Area: Year 2 2 EXECUTIVE SUMMARY The University of Denver conducted the second year of a five year remote sensing study
Applying Remote Sensing to Paleontology Studies in the State of Arizona, USA. Alberto Jimnez1
Applying Remote Sensing to Paleontology Studies in the State of Arizona, USA. Alberto Jiménez1 1 of remote sensing in the last decade have proven to be quite essential in its widespread use in geology: Remote sensing, paleontology, prospecting, Arizona, Landsat, ETM+ INTRODUCTION Improvements
On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 3
On-Road Remote Sensing of Automobile Emissions in the Denver Area: Year 3 Sajal S. Pokharel, Gary A Alpharetta, Georgia 30022 CRC Project No. E-23-4 #12;On-Road Remote Sensing in the Denver Area: Year 3 2 EXECUTIVE SUMMARY The University of Denver has completed the third year of a multi-year remote sensing study
Remote Sensing of Commercial Aircraft Emissions Peter J. Popp & Donald H. Stedman
Remote Sensing of Commercial Aircraft Emissions Peter J. Popp & Donald H. Stedman Department;Remote Sensing of Commercial Aircraft Emissions 2 Introduction On September 23 and 24, 1997, a study to create an open-air sample path between them, approximately 20 feet in #12;Remote Sensing of Commercial
Polarimetric Remote Sensing in the Visible to Near Infrared James R. Shell II
Polarimetric Remote Sensing in the Visible to Near Infrared by James R. Shell II B.S. Physics Title of Dissertation: Polarimetric Remote Sensing in the Visible to Near Infrared I, James R. Shell II Remote Sensing in the Visible to Near Infrared by James R. Shell II Submitted to the Chester F. Carlson
REMOTE SENSING TECHNIQUES FOR LAND USE CLASSIFICATION OF RIO JAUCA WATERSHED USING IKONOS IMAGES-Mayagüez E-mail: email@example.com Key words: GIS, remote sensing, land use, supervised classification resource and supplies water to the metropolitan area. Remote sensing techniques can be used to assess
Analysis of Remote Sensing Data for Development of I/M Program Evaluation
Analysis of Remote Sensing Data for Development of I/M Program Evaluation Protocols Sajal S 48105 Order number: 9A-0633-NAEX #12;Analysis of Remote Sensing Data for Development of I/M Program of Remote Sensing Data for Development of I/M Program Evaluation Protocols 2 226.5 nm in the ultraviolet
On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 6,
On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 6, September 2004 Gary A, Suite 140 Alpharetta, Georgia 30022 Contract No. E-23-9 #12;On-Road Remote Sensing in the Chicago Area-year remote sensing study in the Chicago area, with measurements made in September of 1997 through 2000, 2002
Satellite remote sensing of surface air quality Randall V. Martin a,b,*
Review Satellite remote sensing of surface air quality Randall V. Martin a,b,* a Department 2007 Received in revised form 26 June 2008 Accepted 2 July 2008 Keywords: Remote sensing Air quality Satellite Pollution Emissions a b s t r a c t Satellite remote sensing of air quality has evolved
Martin, Randall
On-Road Remote Sensing of Automobile Emissions in the La Brea Area: Year 3,
On-Road Remote Sensing of Automobile Emissions in the La Brea Area: Year 3, October 2003 Gary A, Suite 140 Alpharetta, Georgia 30022 Contract No. E-23-4 #12;On-Road Remote Sensing in the La Brea Area: Year 3 1 EXECUTIVE SUMMARY The University of Denver conducted a five-day remote sensing study in the La
Satellite Remote Sensing and GIS -FS 2012 The aims of this course are threefold
Programme Satellite Remote Sensing and GIS - FS 2012 Aims The aims of this course are threefold of satellite remote sensing, often in relation to GIS, in different disciplines with invited speakers from about what is happening with satellite remote sensing in Switzerland and how it works in professional
On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 2
On-Road Remote Sensing of Automobile Emissions in the Chicago Area: Year 2 Peter J. Popp, Gary A Atlanta, Georgia 30346 Contract No. E-23-4 #12;On-Road Remote Sensing in the Chicago Area: Year 2 2 EXECUTIVE SUMMARY The University of Denver has completed the first two years of a five-year remote sensing
On-Road Remote Sensing of Automobile Emissions in west Los Angeles: Year 4,
On-Road Remote Sensing of Automobile Emissions in west Los Angeles: Year 4, October 2005 Gary A Alpharetta, Georgia 30022 Contract No. E-23-9 #12;On-Road Remote Sensing in west Los Angeles: Year 4 1 EXECUTIVE SUMMARY The University of Denver conducted a five-day remote sensing study in west Los Angeles
Special Section Guest Editorial: High-Performance Computing in Applied Remote Sensing
Special Section Guest Editorial: High-Performance Computing in Applied Remote Sensing Bormin Huanga-performance computing in applied remote sensing presents the state-of-the-art research in incorporating high-performance computing (HPC) facilities and algorithms for effective and efficient remote sensing applications
Dr. Yeqiao (Y.Q.) Wang Professor in Terrestrial Remote Sensing
1 Dr. Yeqiao (Y.Q.) Wang Professor in Terrestrial Remote Sensing Department of Natural Resources://www.ltrs.uri.edu ________________________________________________________________________ Research Interests My research interests and teaching responsibilities are in terrestrial remote sensing. M.Sc., Natural Resources Management & Engineering: Univ. of Connecticut, 1992. M.Sc., Remote Sensing
Satellite Remote Sensing and GIS -FS 2013 The aims of this course are threefold
Programme Satellite Remote Sensing and GIS - FS 2013 Aims The aims of this course are threefold of satellite remote sensing, often in relation to GIS, in different disciplines with invited speakers from about what is happening with satellite remote sensing in Switzerland and how it works in professional
On-Road Remote Sensing of Automobile Emissions in the Los Angeles Area
On-Road Remote Sensing of Automobile Emissions in the Los Angeles Area: Year 1 Gary A. Bishop a nine-day remote sensing study in the Los Angeles, CA area in the summer of 1999. The remote sensor used study to characterize motor vehicle emissions and deterioration in the Los Angeles area. On-Road Remote
The Classification of Land Cover Derived from High Resolution Remote Sensing Imagery
Remote sensing imagery is an attractive source of land cover information. High resolution sensing imagery provides more land cover detail than low resolution sensing imagery. Due to more complex and noisier spectral signatures for the former, new algorithms ... Keywords: Remote Sensing Imagery, Spectral Information, Spatial Information, Classification
Xia Jun; Liu Jinmei; Wang Guoyu; Li Jizhong
Surface based remote sensing of aerosol-cloud interactions
Surface based remote sensing of aerosol-cloud interactions Surface based remote sensing of aerosol-cloud interactions Feingold, Graham NOAA/Environmental Technology Laboratory Frisch, Shelby NOAA/Environmental Technology Laboratory Min, Qilong State University of New York at Albany Category: Cloud Properties We will present an analysis of the effect of aerosol on clouds at the Southern Great Plains ARM site. New methods for retrieving cloud droplet effective radius with radar (MMCR), multifilter rotating shadowband radiometer (MFRSR), and microwave radiometer (MWR) will be discussed. Relationships based on adiabatic clouds will be used to constrain retrievals. We will investigate the use of a range of proxies for cloud condensation nuclei, ranging from surface measurements of light scattering and accumulation mode number concentration, to lidar-measured extinction or
Remote sensing for geothermal environmental assessments. Final report
The role of remote sensing is examined in the context of the DOE Environmental Assessment Studies. Particular attention has been paid to the exploitation, by computer analysis, of low altitude aerial photographs, which had been made available for this project. One technique, change detection - developed during this project - has been found to be particularly useful, because it permits to detect environmental changes at a very early stage where it might escape detection on the ground. This technique, which has now been perfected to be usable on a routine basis, can thus provide a very effective environmental early warning capability. Several examples are shown in known Geothermal Resource Areas (KGRA's) in the Imperial Valley and the Geysers, California, which lead to the conclusion that remote sensing should become an essential tool for the Environmental Assessment Studies.
Frei, W.; Shibata, T.; Huth, G.C.
Mineralogic Interpretation Of Hymap Hyperspectral Data, Dixie Valley,
Mineralogic Interpretation Of Hymap Hyperspectral Data, Dixie Valley, Mineralogic Interpretation Of Hymap Hyperspectral Data, Dixie Valley, Nevada, USA-Initial Results Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Mineralogic Interpretation Of Hymap Hyperspectral Data, Dixie Valley, Nevada, USA-Initial Results Abstract A collaborative effort among U. S. Department of Energy sponsored remote sensing specialists and industry recently culminated in the acquisition of hyperspectral data over a new exploration target in Dixie Valley, Nevada, U. S. A. Related research at the Energy & Geoscience Institute is currently focused on mineralogy mapping at the outcrop level. This will be extended to piedmont and valley fill soils to detect soil mineral anomalies that may be related to buried structures and sinters. Spectral mineral end-members
Remote Sensing and Geospatial Technological Applications for Site-specific Management of Fruit and Nut Crops: A Review
Abstract: Site-specific crop management (SSCM) is one facet of precision agriculture which is helping increase production with minimal input. It has enhanced the cost-benefit scenario in crop production. Even though the SSCM is very widely used in row crop agriculture like corn, wheat, rice, soybean, etc. it has very little application in cash crops like fruit and nut. The main goal of this review paper was to conduct a comprehensive review of advanced technologies, including geospatial technologies, used in site-specific management of fruit and nut crops. The review explores various remote sensing data from different platforms like satellite, LIDAR, aerial, and field imaging. The study analyzes the use of satellite sensors, such as Quickbird, Landsat, SPOT, and IRS imagery as well as hyperspectral narrow-band remote sensing data in study of fruit and nut crops in blueberry, citrus, peach, apple, etc. The study also explores other geospatial technologies such as GPS, GIS spatial modeling, advanced image processing techniques, and information technology for suitability study, orchard delineation, and classification accuracy assessment. The study also provides an example of a geospatial model developed in ArcGIS ModelBuilder to automate the blueberry production suitability analysis. The GIS
Sudhanshu Sekhar P; Gerrit Hoogenboom; Joel O. Paz
Testing a Cloud Condensation Nuclei Remote Sensing Method
a Cloud Condensation Nuclei a Cloud Condensation Nuclei Remote Sensing Method S. J. Ghan Climate Physics Pacific Northwest National Laboratory Richland, Washington D. R. Collin Department of Atmospheric Sciences Texas A&M University College Station, Texas Introduction Under certain conditions vertical profiles of cloud condensation nuclei (CCN) spectra can be retrieved from ground-based measurements (Ghan and Collins 2003). Surface measurements of the CCN spectrum are scaled by the ratio of the 180 backscatter (or extinction) profile to the surface backscatter (or extinction). The backscatter (or extinction) profile is measured by Raman lidar (RL), and is corrected to dry conditions using the vertical profile of relative humidity (calculated from the absolute
Soil moisture modeling and scaling using passive microwave remote sensing
Soil moisture in the shallow subsurface is a primary hydrologic state governing land-atmosphere interaction at various scales. The primary objectives of this study are to model soil moisture in the root zone in a distributed manner and determine scaling properties of surface soil moisture using passive microwave remote sensing. The study was divided into two parts. For the first study, a root zone soil moisture assessment tool (SMAT) was developed in the ArcGIS platform by fully integrating a one-dimensional vadose zone hydrology model (HYDRUS-ET) with an ensemble Kalman filter (EnKF) data assimilation capability. The tool was tested with dataset from the Southern Great Plain 1997 (SGP97) hydrology remote sensing experiment. Results demonstrated that SMAT displayed a reasonable capability to generate soil moisture distribution at the desired resolution at various depths of the root zone in Little Washita watershed during the SGP97 hydrology remote sensing experiment. To improve the model performance, several outstanding issues need to be addressed in the future by: including "effective" hydraulic parameters across spatial scales; implementing subsurface soil properties data bases using direct and indirect methods; incorporating appropriate hydrologic processes across spatial scales; accounting uncertainties in forcing data; and preserving interactions for spatially correlated pixels. The second study focused on spatial scaling properties of the Polarimetric Scanning Radiometer (PSR)-based remotely sensed surface soil moisture fields in a region with high row crop agriculture. A wavelet based multi-resolution technique was used to decompose the soil moisture fields into larger-scale average soil moisture fields and fluctuations in horizontal, diagonal and vertical directions at various resolutions. The specific objective was to relate soil moisture variability at the scale of the PSR footprint (800 m X 800 m) to larger scale average soil moisture field variability. We also investigated the scaling characteristics of fluctuation fields among various resolutions. The spatial structure of soil moisture exhibited linearity in the log-log dependency of the variance versus scale-factor, up to a scale factor of -2.6 (6100 m X 6100 m) irrespective of wet and dry conditions, whereas dry fields reflect nonlinear (multi-scaling) behavior at larger scale-factors.
Das, Narendra N.
The Prospect for Remote Sensing of Cirrus Clouds with a Submillimeter-Wave Spectrometer
Given the substantial radiative effects of cirrus clouds and the need to validate cirrus cloud mass in climate models, it is important to measure the global distribution of cirrus properties with satellite remote sensing. Existing cirrus remote ...
K. Franklin Evans; Aaron H. Evans; Ira G. Nolt; B. Thomas Marshall
ON-ROAD REMOTE SENSING OF VEHICLE EMISSIONS IN MONTERREY, N.L. MEXICO Final Report Prepared for the University of Denver traveled to Monterrey, N.L. Mexico to monitor remotely the carbon monoxide (CO
Remote Sensing of In-Use Heavy-Duty Diesel Trucks
Remote Sensing of In-Use Heavy-Duty Diesel Trucks D A N I E L A . B U R G A R D , G A R Y A . B I this study suggest that on-road remote sensing can detect illegal, high sulfur fuel use from individual heavy,HDDvehiclesemissionshavereceivedgrowing attentioninavarietyofstudiessuchaschassisdynamometers (5, 6), in a tunnel (7), and remote sensing (8-10) as well as one critical review (4
Alternative representations of in-stream habitat: classification using remote sensing, hydraulic modeling, and fuzzy logic
C. , 1996, Two-dimensional hydraulic simulation of physicalfish: Linking statistical hydraulic models with multivariateusing Remote Sensing, Hydraulic Modeling, and Fuzzy Logic
Legleiter, Carl J.; Goodchild, M F
Special Section Guest Editorial: Advances in Remote Sensing for Monitoring Global Environmental Changes
This paper focuses on advances in remote sensing for monitoring global environmental changes, and discussed10 papers selected from a number of areas of expertise.
Zhou, Yuyu; Weng, Qihao; Chang, Ni-Bin
A Remote sensing change detection study in the arid Richtersveld region of South Africa.
?? The Richtersveld falls within the succulent karoo and dester biomes. This studu made use of remote sensing technologies in order to investigate possible vegetation� (more)
Main, Russell Stuart.
Assessing the Effectiveness of Louisiana's Freshwater Diversion Projects Using Remote Sensing.
??Southern Louisiana is experiencing a dramatic loss of freshwater wetlands as a result of natural and man-made changes in the landscape. Multitempral remotely sensed data� (more)
Metzger, Michael G.
Integrating Ecosystem Sampling, Gradient Modeling, Remote Sensing, and Ecosystem Simulation to Create Spatially Explicit Landscape Inventories
ecosystem sampling, gradient modeling, remote sensing, and ecosystem simulation to create spatially explicit landscape inventories. RMRS-GTR-92. Fort Collins, CO: U.S. Department
United States; Forest Service; Robert E. Keane; Matthew G. Rollins; Cecilia H. Mcnicoll; Russell A. Parsons Abstract
Laser remote sensing of backscattered light from a target sample
A laser remote sensing apparatus comprises a laser to provide collimated excitation light at a wavelength; a sensing optic, comprising at least one optical element having a front receiving surface to focus the received excitation light onto a back surface comprising a target sample and wherein the target sample emits a return light signal that is recollimated by the front receiving surface; a telescope for collecting the recollimated return light signal from the sensing optic; and a detector for detecting and spectrally resolving the return light signal. The back surface further can comprise a substrate that absorbs the target sample from an environment. For example the substrate can be a SERS substrate comprising a roughened metal surface. The return light signal can be a surface-enhanced Raman signal or laser-induced fluorescence signal. For fluorescence applications, the return signal can be enhanced by about 10.sup.5, solely due to recollimation of the fluorescence return signal. For SERS applications, the return signal can be enhanced by 10.sup.9 or more, due both to recollimation and to structuring of the SERS substrate so that the incident laser and Raman scattered fields are in resonance with the surface plasmons of the SERS substrate.
Sweatt, William C. (Albuquerque, NM); Williams, John D. (Albuquerque, NM)
Parallel morphological/neural processing of hyperspectral images using heterogeneous and homogeneous platforms
The wealth spatial and spectral information available from last-generation Earth observation instruments has introduced extremely high computational requirements in many applications. Most currently available parallel techniques treat remotely sensed ... Keywords: Heterogeneous computing, Hyperspectral imaging, Mathematical morphology, Neural networks, Parallel performance
Javier Plaza; Rosa P�rez; Antonio Plaza; Pablo Mart�nez; David Valencia
Geobotanical Remote Sensing Applied to Targeting New Geothermal Resource Locations in the U.S. Basin and Range with a Focus on Dixie Meadows, NV
This paper presents an overview of the work our collaboration is doing to increase the detailed mapped resource base for geothermal exploration in the Western US. We are imaging several large areas in the western US with high resolution airborne hyperspectral and satellite multispectral sensors. We have now entered the phase where the remote sensing techniques and tools we are developing are mature enough to be combined with other geothermal exploration techniques such as aeromagnetic, seismic, well logging and coring data. The imaging sensors and analysis techniques we have developed have the ability to map visible faults, surface effluents, altered minerals, subtle hidden faults. Large regions are being imaged at reasonable costs. The technique of geobotanical remote sensing for geothermal signatures is based on recent successes in mapping hidden faults, high temperature altered mineralization, clays, hot and cold springs and CO2 effluents the Long Valley Caldera and Mammoth Mountain in California. The areas that have been imaged include Mammoth Mountain and the Long Valley Caldera, Dixie Meadows NV, Fish Lake Valley NV, and Brady Hot Springs. Areas that are being imaged in the summer of 2003 are the south moat of the Long Valley Caldera, Mammoth Mountain western Pickles, Nash, Kasameyer, Foxall, Martini, Cocks, Kennedy-Bowdoin, McKnight, Silver, Potts, flanks, Mono Inyo chain north of Mammoth Mountain in CA, and the Humboldt Block in NV. This paper focuses on presenting the overview of the high-resolution airborne hyperspectral image acquisition that was done at Dixie Meadows NV in August 2002. This new imagery is currently being analyzed and combined with other field data by all of the authors on this paper. Results of their work up until the time of the conference will be presented in papers in the remote sensing session.
Pickles, W. L.; Nash, G. D.; Calvin, W. M.; Martini, B. A.; Cocks, P. A.; Kenedy-Bowdoin, T.; Mac Knight, R. B.; Silver, E. A.; Potts, D. C.; Foxall, W.; Kasameyer, P.; Waibel, A. F.
Unsupervised Semantic Labeling Framework for Identification of Complex Facilities in High-Resolution Remote Sensing Images
Nuclear proliferation is a major national security concern for many countries. Existing feature extraction and classification approaches are not suitable for monitoring proliferation activity using high-resolution multi-temporal remote sensing imagery. ... Keywords: GMM, LDA, Remote Sensing, Nuclear Nonproliferation
Ranga Raju Vatsavai; Anil Cheriyadat; Shaun Gleason
Remote Sensing of Ammonia and Sulfur Dioxide from On-Road Light
Remote Sensing of Ammonia and Sulfur Dioxide from On-Road Light Duty Vehicles D A N I E L A . B U R by dynamometer (16), remote sensing (17), and recently by a chase vehicle (18). Results from these studies vary
#12;ON-ROAD REMOTE SENSING OF CO EMISSIONS IN THE LOS ANGELES BASIN Donald H. Stedman, Gary A. Comparison of tailpipe %CO measured by an on-board analyzer and by remote sensing. Data collected 12/8/89, 12
Global remote sensing research trends during 1991---2010: a bibliometric analysis
According to the articles related to remote sensing of SCI and SSCI databases during 1991---2010, this study evaluated the geographical influence of authors by the new index (geographical impact factor), and revealed the auctorial, institutional, national, ... Keywords: Bibliometric analysis, Geographic information system (GIS), Geographical impact factor (GIF), Remote Sensing (RS), Satellite
Yanhua Zhuang; Xingjian Liu; Thuminh Nguyen; Qingqing He; Song Hong
BOOK REVIEWS QUANTITATIVE REMOTE SENSING OF LAND SURFACES. By S. Liang. John
BOOK REVIEWS QUANTITATIVE REMOTE SENSING OF LAND SURFACES. By S. Liang. John Wiley & Sons Inc-ROM. Illustrated. Price £82�?50 hard- back. This new book presents the principles of optical remote sensing. The structure, content and style of the book reflect this. It has an explicit structure: it contains neat
Liang, Shunlin
a Cloud Condensation Nuclei a Cloud Condensation Nuclei Remote Sensing Method S. J. Ghan Climate Dynamics Group Pacific Northwest National Laboratory Richland, Washington Introduction Under certain conditions vertical profiles of cloud condensation nuclei (CCN) spectra can be retrieved from ground-based measurements. Surface measurements of the CCN spectrum are scaled by the ratio of the backscatter (or extinction) profile to the surface backscatter (or extinction). The backscatter (or extinction) profile is measured by Raman lidar, and is corrected to dry conditions using the vertical profile of relative humidity (also measured by Raman Lidar) and surface measurements of the dependence of backscatter (or extinction) on relative humidity. This method should be accurate up to
Nuclear power plants typically use waste heat rejection systems such as cooling lakes and natural draft cooling towers. These systems are designed to reduce cooling water temperatures sufficiently to allow full power operation even during adverse meteorological conditions. After the power plant is operational, the performance of the cooling system is assessed. These assessments usually rely on measured temperatures of the cooling water after it has lost heat to the environment and is being pumped back into the power plant (cooling water inlet temperature). If the cooling system performance is not perceived to be optimal, the utility will collect additional data to determine why. This paper discusses the use of thermal imagery collected from aircraft and satellites combined with numerical simulation to better understand the dynamics and thermodynamics of nuclear power plant waste heat dissipation systems. The ANS meeting presentation will discuss analyses of several power plant cooling systems based on a combination of remote sensing data and hydrodynamic modeling.
Garrett, A
Principles and applications of imaging radar. Manual of remote sensing: Third edition, Volume 2
This second volume in the Third Edition of the Manual of Remote Sensing offers a current and comprehensive survey of the theory, methods, and applications of imaging radar for geoscientists, engineers and application scientists interested in the advantages of radar remote sensing. Produced under the auspices of the American Society for Photogrammetry and Remote Sensing, it brings together contributions from experts around the world to discuss the basic principles of imaging radars and trace the research activity--past, present, and future--across the many sciences where radar remote sensing may be applied. This book offers an invaluable snapshot of radar remote sensing technology, including radargrammetry, radar polarimetry and interferometry and its uses. It combines technical and procedural coverage of systems, data interpretation, and other fundamentals with generous coverage of practical applications in agriculture; forestry; soil moisture monitoring; geology; geomorphology and hydrology; oceanography; land use, land cover mapping and archeology.
Henderson, F.M.; Lewis, A.J. [eds.
Bio-optical profiling floats as new observational tools for biogeochemical and ecosystem studies: Potential synergies with ocean color remote sensing
particles from satellite remote sensing of the global ocean.Breon F. M. (2005). Remote sensing of phytoplankton groupsWITH OCEAN COLOR REMOTE SENSING. Herv� Claustre (1) , Jim
Claustre, H.
Multimodel Analysis of Energy and Water Fluxes: Intercomparisons between Operational Analyses, a Land Surface Model, and Remote Sensing
Using data from seven global model operational analyses (OA), one land surface model, and various remote sensing retrievals, the energy and water fluxes over global land areas are intercompared for 2003/04. Remote sensing estimates of ...
Raghuveer K. Vinukollu; Justin Sheffield; Eric F. Wood; Michael G. Bosilovich; David Mocko
QUANTITATIVE REMOTE SENSING: HORNS REV WIND FARM CASE STUDY C. B. Hasager, M. Nielsen, M. B. Christiansen
QUANTITATIVE REMOTE SENSING: HORNS REV WIND FARM CASE STUDY C. B. Hasager, M. Nielsen, M. B of quantitative remote sensing for wind resource estimation. 1. INTRODUCTION Possibilities and limitations
Workshop: Tcnicas Avanadas de Anlise de Imagens de Sensoriamento Remoto (Recent Advances in Image Analysis Techniques for Remote Sensing)
in Image Analysis Techniques for Remote Sensing) Coordenadores: Leila Maria G. Fonseca (INPE) e João Paulo in remote sensing technology, especially improved spectral, spatial, and temporal resolutions, have put different from more conventional approaches for remote sensing image analysis. Hora Título das Palestras
int. j. remote sensing, 2002, vol. 23, no. 3, 537553 EVect of spatial resolution on information content characterization in
int. j. remote sensing, 2002, vol. 23, no. 3, 537553 EVect of spatial resolution on information content characterization in remote sensing imagery based on classi cation accuracy R. M. NARAYANAN*, M. K) Abstract. The information content of remote sensing imagery depends upon various factors such as spatial
Reichenbach, Stephen E.
Remote Sensing May Provide Unprecedented Hydrological Data http://www.agu.org/eos_elec, 1999 American Geophysical Union.
Remote Sensing May Provide Unprecedented Hydrological Data http://www.agu.org/eos_elec, © 1999 American Geophysical Union. Remote Sensing May Provide Unprecedented Hydrological Data -- Randal D. Koster, Agricultural Research Service, U.S. Department of Agriculture, Beltsville, Md., USA Use of remote sensing
Houser, Paul R.
Remote sensing of the water quality of shallow lakes: A mixture modelling approach to quantifying phytoplankton in water characterized
Remote sensing of the water quality of shallow lakes: A mixture modelling approach to quantifying Research Institute of the Hungarian Academy of Sciences, Tihany, POB 35, H-8237, Hungary Remote sensing has significantly over recent years, the application of satellite remote sensing to lake water is constrained
Tyler, Andrew N.
Remote Sensing of the Atmosphere and Ocean (11:670:451/16:712:552) Class website: Sakai
Remote Sensing of the Atmosphere and Ocean (11:670:451/16:712:552) Class website: Sakai Dr. Mark specific understanding of the physical principles used to remotely sense atmospheric and oceanic structure; pulse and Synthetic Aperture Radar modes; applications J. Wilkin Land Surface Remote Sensing M. Miller
Remote sensing for the geobotanical and biogeochemical assessment of environmental contamination
Under Contract Number DE-AC08-90NV10845, the DOE has funded the Desert Research Institute (DRI) to examine several aspects of remote sensing, specifically with respect to how its use might help support Environmental Restoration and Waste Management (ERWM) activities at DOE sites located throughout the country. This report represents partial fulfillment of DRI`s obligations under that contract and includes a review of relevant literature associated with remote sensing studies and our evaluation and recommendation as to the applicability of various remote sensing techniques for DOE needs. With respect to DOE ERWM activities, remote sensing may be broadly defined as collecting information about a target without actually being in physical contact with the object. As the common platforms for remote sensing observations are aircraft and satellites, there exists the possibility to rapidly and efficiently collect information over DOE sites that would allow for the identification and monitoring of contamination related to present and past activities. As DOE sites cover areas ranging from tens to hundreds of square miles, remote sensing may provide an effective, efficient, and economical method in support of ERWM activities. For this review, remote sensing has been limited to methods that employ electromagnetic (EM) energy as the means of detecting and measuring target characteristics.
Wickham, J.; Chesley, M.; Lancaster, J.; Mouat, D.
Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use
This paper examined the relationship between remotely sensed anthropogenic heat discharge and energy use from residential and commercial buildings across multiple scales in the city of Indianapolis, Indiana, USA. Anthropogenic heat discharge was estimated based on a remote sensing-based surface energy balance model, which was parameterized using land cover, land surface temperature, albedo, and meteorological data. Building energy use was estimated using a GIS-based building energy simulation model in conjunction with Department of Energy/ Energy Information Administration survey data, Assessor's parcel data, GIS floor areas data, and remote sensing-derived building height data.
Zhou, Yuyu; Weng, Qihao; Gurney, Kevin R.; Shuai, Yanmin; Hu, Xuefei
GMG: A Guaranteed, Efficient Global Optimization Algorithm for Remote Sensing.
The monocular passive ranging (MPR) problem in remote sensing consists of identifying the precise range of an airborne target (missile, plane, etc.) from its observed radiance. This inverse problem may be set as a global optimization problem (GOP) whereby the difference between the observed and model predicted radiances is minimized over the possible ranges and atmospheric conditions. Using additional information about the error function between the predicted and observed radiances of the target, we developed GMG, a new algorithm to find the Global Minimum with a Guarantee. The new algorithm transforms the original continuous GOP into a discrete search problem, thereby guaranteeing to find the position of the global minimum in a reasonably short time. The algorithm is first applied to the golf course problem, which serves as a litmus test for its performance in the presence of both complete and degraded additional information. GMG is further assessed on a set of standard benchmark functions and then applied to various realizations of the MPR problem.
D'Helon, CD
Using NASA Remote Sensing Data to Reduce Uncertainty of Land-Use Transitions in
NASA Remote Sensing Data to Reduce Uncertainty of Land-Use Transitions in NASA Remote Sensing Data to Reduce Uncertainty of Land-Use Transitions in Global Carbon-Climate Models: Data Management Plan L. Chini, G.C. Hurtt, M. Hansen, and P. Potapov Department of Geography University of Maryland The following Data Management Plan was part of the NASA ROSES 2012 Proposal Using NASA Remote Sensing Data to Reduce Uncertainty of Land-Use Transitions in Global Carbon- Climate Models (summary) submitted to the Terrestrial Ecology Program. It is presented as an example plan. Data Management Plan The proposed project will generate important new datasets of remote-sensing-based land-use transitions and their inherent uncertainty. Our plan for managing these datasets includes quality assessment, long-term archiving, and data sharing and dissemination (along with documentation
ARM - Evaluation Product - Active Remote Sensing of Clouds from Ka-band ARM
ProductsActive Remote Sensing of Clouds from Ka-band ProductsActive Remote Sensing of Clouds from Ka-band ARM Zenith Radars Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Active Remote Sensing of Clouds from Ka-band ARM Zenith Radars Site(s) GAN SGP General Description The Ka-band ARM Zenith Radars (KAZRs) have replaced the long-serving Millimeter Cloud Radars, or MMCRs. Accordingly, the primary MMCR Value Added Product (VAP), the Active Remote Sensing of CLouds (ARSCL) product, is being replaced by a KAZR-based version, the KAZR-ARSCL VAP. KAZR-ARSCL provides cloud boundaries and best-estimate time-height fields of radar moments. KAZR observations are corrected for water vapor attenuation and velocity aliasing and significant detection masks are produced. KAZR-ARSCL
Inside Volcanic Clouds: Remote Sensing of Ash Plumes Using Microwave Weather Radars
Microphysical and dynamical features of volcanic tephra due to Plinian and sub-Plinian eruptions can be quantitatively monitored by using ground-based microwave weather radars. The methodological rationale and unique potential of this remote-sensing ...
Frank S. Marzano; Errico Picciotti; Mario Montopoli; Gianfranco Vulpiani
Higher order asymptotic inference in remote sensing of oceanic and planetary environments
An inference method based on higher order asymptotic expansions of the bias and covariance of the Maximum Likelihood Estimate (MLE) is used to investigate the accuracy of parameter estimates obtained from remote sensing ...
Bertsatos, loannis
Assessment of a modified version of the EM algorithm for remote sensing data classification
This work aims to present an assessment of a modified version of the standard EM clustering algorithm for remote sensing data classification. As observing clusters with very similar mean vectors but differing only on the covariance structure is not natural ...
Thales Sehn Korting; Luciano Vieira Dutra; Guaraci Jos� Erthal; Leila Maria Garcia Fonseca
Remote Sensing Open Access Journal: Leading a New Paradigm in Publishing
Remote Sensing is a pathfinding open access journal providing great opportunities for the growing community of remote sensing and geoscience scientists and practitioners to publish high quality research and practical papers expeditiously. It is a journal keeping up with the changing times we live in: open access, instant access, free access, and global access from whichever precise latitude and longitude you live in on the planet Earth or for that matter anywhere in space as long as we have internet access! So, open access journals are breaking many paradigms and setting forth new ones that will soon become the norm as we advance into the twenty-first century. The days of inordinate delays in publishing good science research articles are fast disappearing with open access journals. In remote sensing and geoscience, Remote Sensing
Prasad S. Thenkabail
Ground-Based Remote Sensing of Stratocumulus Properties during CLARA, 1996
A method is presented to obtain droplet concentration for water clouds from ground-based remote sensing observations. It relies on observations of cloud thickness, liquid water path, and optical extinction near the cloud base. The method was ...
R. Boers; H. Russchenberg; J. Erkelens; V. Venema; A. van Lammeren; A. Apituley; S. Jongen
On the application of the MODTRAN4 atmospheric radiative transfer code to optical remote sensing
The quantification of atmospheric effects on the solar radiation measured by a spaceborne or airborne optical sensor is required for some key tasks in remote sensing, such as atmospheric correction, simulation of realistic scenarios or retrieval of atmospheric ...
Luis Guanter; Rudolf Richter; Hermann Kaufmann
Length Scale Analysis of Surface Energy Fluxes Derived from Remote Sensing
Wavelet multiresolution analysis was used to examine the variation in dominant length scales determined from remotely sensed airborne- and satellite-derived surface energy flux data. The wavelet cospectra are computed between surface radiometric ...
Nathaniel A. Brunsell; Robert R. Gillies
The ONSAM Experiment: Remote Sensing Techniques for Vertical Sounding of the Atmosphere
The ONSala Atmospheric Measurement program was carried out in May 1983 in order to test the performance of new remote sensing equipment, compared with radiosondes launched for this particular program. A temperature profiling radiometer and a ...
J. Askne; G. Elgered; H. Nordius; G. Skoog; E. Winberg; A. Ha?ga?rd; E. Andersson; N. Gustafsson; J. Svensson; I. Carlsson
A Midlatitude Cirrus Cloud Climatology from the Facility for Atmospheric Remote Sensing. Part III: Radiative Properties
In Part III of a series of papers describing the extended time high-cloud observations from the University of Utah Facility for Atmospheric Remote Sensing (FARS) supporting the First International Satellite Cloud Climatology Project (ISCCP) ...
Kenneth Sassen; Jennifer M. Comstock
Electromagnetic wave scattering by discrete random media with remote sensing applications
The scattering of electromagnetic waves in medium with randomly distributed discrete scatterers is studied. Analytical and numerical solutions to several problems with implications for the active and passive remote sensing ...
Ao, Chi On, 1970-
Remote Sensing of Cirrus Cloud Particle Size and Optical Depth Using Polarimetric Sensor Measurements
This paper presents a conceptual approach toward the remote sensing of cirrus cloud particle size and optical depth using the degree of polarization and polarized reflectance associated with the first three Stokes parameters, I, Q, and U, for the ...
S. C. Ou; K. N. Liou; Y. Takano; R. L. Slonaker
Simulation in the woods: from remote sensing based data acquisition and processing to various simulation applications
This paper focuses on joint work towards the development of simulation applications in the forest sector. They are based on advanced "semantic" world modeling techniques which use remote sensing data and processing algorithms to derive tree species classification ...
J�rgen Rossmann; Michael Schluse; Ralf Waspe; Ralf Moshammer
Integration of remote sensing and ecosystem modelling techniques to estimate forest net carbon uptake
Estimates of forest gross primary production (GPP) can be obtained using a parametric model (C-Fix) that combines ground and remotely sensed data. A methodology is presented to convert these GPP estimates into values of net ecosystem exchange (NEE). ...
F. Maselli; M. Chiesi; L. Fibbi; M. Moriondo
Integrated use of remote sensing and geographic information systems in riparian vegetation delineation and mapping
This paper presents a pilot study on riparian vegetation delineation and mapping using remote sensing and geographic information systems (GIS) in the Hunter Region, Australia. The aim of the study was to develop appropriate and repeatable assessment ...
X. Yang
Remote sensing of atmospheric particles using LIDAR, Calipso satellite, & AERONET: algorithm development
Algorithms have been developed for the determination of essential parameters such as Aerosol Size Distribution, Angstrom coefficient, and Single Scattering Albedo necessary in the determination of regional climatological model and weather prediction ... Keywords: AERONET, Calipso, atmospheric parameters, lidar, remote sensing
Javier M�ndez; Hamed Parsiani; Emmanuel Sanchez
Calibration and Validation of Remotely Sensed Observations of Ocean Color from a Moored Data Buoy
Satellite remote sensing of ocean color has the potential to map global surface phytoplankton concentrations at rates of up to once per day, providing wide-area data on a number of fundamental ocean processes relating to biological production, ...
M. H. Pinkerton; J. Aiken
Variability of Microphysical Parameters in High-Altitude Ice Clouds: Results of the Remote Sensing Method
The remote sensing method for retrieving vertical profiles of microphysical parameters in ice clouds from ground-based measurements taken by the Doppler radar and IR radiometer was applied to several cloud cases observed during different field ...
Sergey Y. Matrosov
Remote Sensing Measurements of Tropospheric Ozone by Ground-Based Thermal Emission Spectroscopy
Remote sensing measurements of the troposphere were obtained by a new technique in which spectra of the downward thermal radiation from tropospheric ozone were measured with a Fourier transform infrared spectrometer. The measurements were ...
W. F. J. Evans; E. Puckrin
Evaporation from Nonvegetated Surfaces: Surface Aridity Methods and Passive Microwave Remote Sensing
The use of remotely sensed near-surface soil moisture for the estimation of evaporation is investigated. Two widely used parameterizations of evaporation, the so-called ? and ? methods, which use near-surface soil moisture to reduce some measure ...
Anthony T. Cahill; Marc B. Parlange; Thomas J. Jackson; Peggy O�Neill; T. J. Schmugge
Parameter Estimation for Marked Point Processes. Application to Object Extraction from Remote Sensing Images
This communication addresses the problem of estimating the parameters of a family of marked point processes. These processes are of interest in extraction of object networks from remote sensing images. They are defined from a combination of several energy ...
Florent Chatelain; Xavier Descombes; Josiane Zerubia
Radio Remote Sensing of the Corona and the Solar Wind
Modern radio telescopes are extremely sensitive to plasma on the line of sight from a radio source to the antenna. Plasmas in the corona and solar wind produce measurable changes in the radio wave amplitude and phase, and the phase difference between wave fields of opposite circular polarization. Such measurements can be made of radio waves from spacecraft transmitters and extragalactic radio sources, using radio telescopes and spacecraft tracking antennas. Data have been taken at frequencies from about 80 MHz to 8000 MHz. Lower frequencies probe plasma at greater heliocentric distances. Analysis of these data yields information on the plasma density, density fluctuations, and plasma flow speeds in the corona and solar wind, and on the magnetic field in the solar corona. This paper will concentrate on the information that can be obtained from measurements of Faraday rotation through the corona and inner solar wind. The magnitude of Faraday rotation is proportional to the line of sight integral of the plasma density and the line-of-sight component of the magnetic field. Faraday rotation provides an almost unique means of estimating the magnetic field in this part of space. This technique has contributed to measurement of the large scale coronal magnetic field, the properties of electromagnetic turbulence in the corona, possible detection of electrical currents in the corona, and probing of the internal structure of coronal mass ejections (CMEs). This paper concentrates on the search for small-scale coronal turbulence and remote sensing of the structure of CMEs. Future investigations with the Expanded Very Large Array (EVLA) or Murchison Widefield Array (MWA) could provide unique observational input on the astrophysics of CMEs.
Steven R. Spangler; Catherine A. Whiting
Adaptive Remote-Sensing Techniques Implementing Swarms of Mobile Agents
In many situations, stand-off remote-sensing and hazard-interdiction techniques over realistic operational areas are often impractical "and difficult to characterize. An alternative approach is to implement an adap- tively deployable array of sensitive agent-specific devices. Our group has been studying the collective be- havior of an autonomous, multi-agent system applied to chedbio detection and related emerging threat applications, The current physics-based models we are using coordinate a sensor array for mukivanate sig- nal optimization and coverage as re,alized by a swarm of robots or mobile vehicles. These intelligent control systems integrate'glob"ally operating decision-making systems and locally cooperative learning neural net- works to enhance re+-timp operational responses to dynarnical environments examples of which include obstacle avoidance, res~onding to prevailing wind patterns, and overcoming other natural obscurants or in- terferences. Collectively',tkensor nefirons with simple properties, interacting according to basic community rules, can accomplish complex interconnecting functions such as generalization, error correction, pattern recognition, sensor fusion, and localization. Neural nets provide a greater degree of robusmess and fault tolerance than conventional systems in that minor variations or imperfections do not impair performance. The robotic platforms would be equipped with sensor devices that perform opticaI detection of biologicais in combination with multivariate chemical analysis tools based on genetic and neural network algorithms, laser-diode LIDAR analysis, ultra-wideband short-pulsed transmitting and receiving antennas, thermal im- a:ing sensors, and optical Communication technology providing robust data throughput pathways. Mission scenarios under consideration include ground penetrating radar (GPR) for detection of underground struc- tures, airborne systems, and plume migration and mitigation. We will describe our research in these areas anti give a status report on our progress.
Asher, R.B.; Cameron, S.M.; Loubriel, G.M.; Robinett, R.D.; Stantz, K.M.; Trahan, M.W.; Wagner, J.S.
Using remote-sensing data to determine equilibrium-line altitude and mass-balance time series: validation on three French glaciers,
Using remote-sensing data to determine equilibrium-line altitude and mass-balance time series to calculate glacier mass balance using remote-sensing data. Snowline measurements from remotely sensed images by ground measurements and remote sensing are compared and show excellent correlation (r2 > 0.89), both
Rabatel, Antoine
The use of remotely sensed data as a tool in urban heat island investigations: An overview
Remotely sensed data contribute an important tool to areawide, cost-effective studies of urban heat island phenomena. This paper provides an overview of its use dating from the first satellite thermal images of urban heat signatures in the early 1970`s, and briefly examines the range of previous uses of remotely sensed data in urban studies, including identification and analysis of heat island effects, modeling of energy budgets, attempts to analyze and classify the urban landscape, and temporal analyses. The intent is not to provide an exhaustive review but rather to describe research trends and patterns. In addition the paper lists an compares those sensing devices that have seen significant use in urban studies and briefly discusses potential strengths and weaknesses of remotely sensed data for use in urban analyses. Three annotated bibliographies, divided by subject, are included. 95 refs.
Orvis, K.H.; Akbari, H. [Lawrence Berkeley Lab., CA (United States). Energy and Environment Div.
Extending collaboration support systems: making sense in remote innovation
This chapter first examines the role of collaboration and collective learning in regional and industry-wide innovation and how remote innovation--that is, innovation organized through electronic collaboration-could be enhanced by comprehensive computer ...
Thekla Rura-Polley; Ellen Baker
Rapid Damage Assessment Using High-resolution Remote Sensing Imagery: Tools and Techniques
Accurate damage assessment caused by major natural and anthropogenic disasters is becoming critical due to increases in human and economic loss. This increase in loss of life and severe damages can be attributed to growing population, as well as human migration to disaster prone regions of the world. Rapid damage assessment and dissemination of accurate information is critical for creating an effective emergency response. Remote sensing and geographic information systems (GIS) based techniques and tools are important in disaster damage assessment and reporting activities. In this review, we will look into the state of the art techniques in damage assessment using remote sensing and GIS.
Vatsavai, Raju [ORNL; Tuttle, Mark A [ORNL; Bhaduri, Budhendra L [ORNL; Bright, Eddie A [ORNL; Cheriyadat, Anil M [ORNL; Chandola, Varun [ORNL; Graesser, Jordan B [ORNL
Capabilities of the DOE Remote Sensing Laboratory`s aerial measuring system
This report describes the capabilities of the Remote Sensing Laboratory`s aircraft for use in environmental radiation surveys, multispectral (visible, near infrared, and thermal infrared) surveys of vegetation and buildings, and photographic documentation of the areas covered by the two other surveys. The report discusses the technical capabilities of the various systems and presents examples of the data from a recent demonstration survey. To provide a view of the types of surveys the Remote Sensing Laboratory has conducted in the past, the appendices describe several of the previous area surveys and emergency search surveys.
Riedhauser, S.R.
Verification of Remotely Sensed Sea Surface Winds in Hurricanes
Surface winds in hurricanes have been estimated remotely using the Stepped-Frequency Microwave Radiometer (SFMR) from the NOAA WP-3D aircraft for the past 15 years. Since the use of the GPS dropwindsonde system in hurricanes was first initiated ...
Eric W. Uhlhorn; Peter G. Black
Remote sensing survey of the Coso geothermal area, Inyo county, California.
sensing survey of the Coso geothermal area, Inyo county, California. sensing survey of the Coso geothermal area, Inyo county, California. Technical publication 1968--1971 Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Report: Remote sensing survey of the Coso geothermal area, Inyo county, California. Technical publication 1968--1971 Details Activities (4) Areas (1) Regions (0) Abstract: The Coso geothermal area, located primarily within the test ranges of the Naval Weapons Center, China Lake, Calif., is an area of granitic rock exposure and fracture-controlled explosion breccias and perlitic domes. Fumarolic and hot springs activity are present at scattered locations. Remote sensing studies were made that included color and color IR photography, 8- to 14-micrometer IR imagery, and snowmelt patterns. Color photography and snowmelt patterns were of greatest utility in
Workshop on the Application of Remote Sensing Technologies to Disaster Response Rapid Damage Mapping for Post-Earthquake
Workshop on the Application of Remote Sensing Technologies to Disaster Response Rapid Damage Technologies to Disaster Response September 12 2003 #12;Workshop on the Application of Remote Sensing Technologies to Disaster Response 12 September 2003 Rapid Damage Mapping for post-Earthquake Building Damage
Shinozuka, Masanobu
Climatology of Ocean Features in the Gulf of Mexico Using Satellite Remote Sensing Data
A climatology of various ocean features in the Gulf of Mexico (GOM) was developed using the combination of satellite remote sensing and in situ data that spanned periods as long as 32 years. Twelve separate statistics were created, some of which ...
Fred M. Vukovich
Post Storm Damage Assessment and Vegetation Monitoring Using Remote Sensing Techniques
This report presents the results of an EPRI study of remote sensing technology as a tool for environmental monitoring and assessment along power line corridors and at utility systems and to view facilities damaged during storms. The report provides a technology overview, details application-oriented field studies at two sites, and offers conclusions and recommendations concerning existing and emerging technologies.
Remote sensing and GIS technology in the Global Land Ice Measurements from Space (GLIMS) Project
Global Land Ice Measurements from Space (GLIMS) is an international consortium established to acquire satellite images of the world's glaciers, analyze them for glacier extent and changes, and to assess these change data in terms of forcings. The consortium ... Keywords: Database, Glaciers, Open-source GIS, Remote sensing
Bruce Raup; Andreas K��b; Jeffrey S. Kargel; Michael P. Bishop; Gordon Hamilton; Ella Lee; Frank Paul; Frank Rau; Deborah Soltesz; Siri Jodha Singh Khalsa; Matthew Beedle; Christopher Helm
Application of Fuzzy Grade-of-Membership Clustering to Analysis of Remote Sensing Data
A fuzzy grade-of-membership (GoM) clustering algorithm is applied to analysis of remote sensing data, in particular, the type of data used in climatic classification. The methodology is applied to a cloud product data subset derived from NASA�s ...
Lisa M. Talbot; Bryan G. Talbot; Robert E. Peterson; H. Dennis Tolley; Harvey D. Mecham
In disaster response, timely collection and exploitation of remotely sensed imagery is of increasing importance. Image
Abstract In disaster response, timely collection and exploitation of remotely sensed imagery. Introduction The collection and utilization of airborne/satellite imagery for disaster response has become expected and necessary. The response phase of the disaster cycle is the time period between impact (e
Hodgson, Michael E.
CARTESIAN - Remote Sensing based Management Information System for Ski Resort Planning
In the frame of an EU-Project an inter- and transdisziplinary team developed an interactive Management Information System (MIS). The aim is to provide a sophisticated tool for ski region management to planners, politicians and decision makers, environmentalists or tourist specialists, based on remotely sensed and auxiliary data for model based interpretation schemes.
Hans-Caspar Bodmer; Klaus Seidel; Jeroen Aerts
Remote Sensing Evaluation of CLM4 GPP for the Period 2000�09
Remote sensing can provide long-term and large-scale products helpful for ecosystem model evaluation. The authors compare monthly gross primary production (GPP) simulated by the Community Land Model, version 4 (CLM4) at a half-degree resolution ...
Jiafu Mao; Peter E. Thornton; Xiaoying Shi; Maosheng Zhao; Wilfred M. Post
Towards automatic lithological classification from remote sensing data using support vector machines
Remote sensing data can be effectively used as a means to build geological knowledge for poorly mapped terrains. In this study, the support vector machine (SVM) algorithm is applied to an automated lithological classification of a study area in northwestern ... Keywords: ASTER, Aeromagnetic, DEM, Lithological classification, Supervised classification, Support vector machine (SVM)
Le Yu; Alok Porwal; Eun-Jung Holden; Michael C. Dentith
An improved MRF-based change detection approach for multitemporal remote sensing imagery
In the task of multitemporal remote sensing image change detection, conventional Markov random field (MRF) based approaches consider contextual information between neighboring pixels to obtain the change map. However, these approaches often get erroneous ... Keywords: Adaptive weight, Change detection, Difference image, Line process, Markov random field (MRF)
Yin Chen; Zhiguo Cao
Workshop on Application of Remote Sensing to Disaster Response September 12, 2003, Irvine, CA, USA
Urban Inventory #12;3 Satellite Optical Sensor/SAR Airborne SAR Aerial Photography Aerial Television 10-12km 1 Satellites Landsat SAR Tools for Field Survey Airborne Remote Sensing High-Resolution Satellites IKONOS damage area Yellow: Severe damage area #12;11 Use of GPS and RS Data for Field Survey Joint Survey
Hierarchical analysis of remote sensing data: morphological attribute profiles and binary partition trees
The new generation of very high resolution sensors in airborne or satellite remote sensing open the door to countless new applications with a high societal impact. In order to bridge the gap between the potential offered by these new sensors and the ...
Jon Atli Benediktsson; Lorenzo Bruzzone; Jocelyn Chanussot; Mauro Dalla Mura; Philippe Salembier; Silvia Valero
On the study of wind energy at great heights using remote sensing techniques
On the study of wind energy at great heights using remote sensing techniques Alfredo Pe~na1 by the wind energy industry due to the high sensitivity that the wind characteristics have on the performance Dong energy, Dong Energy, Kraftværksvej 53, DK-7000, Fredericia, Denmark e-mail: alfredo
1 WIND ENERGY STUDIES OFFSHORE USING SATELLITE REMOTE SENSING MERETE BRUUN CHRISTIANSEN Wind Energy Dept., Risø National Laboratory Denmark Abstract The wind provides a rich energy source, which can from meteorological masts; thus the technique is promising in terms of future wind energy studies. 1
Surface-Based Remote Sensing of the Aerosol Indirect Effect at Southern Great Plains
Surface-Based Remote Sensing of the Surface-Based Remote Sensing of the Aerosol Indirect Effect at Southern Great Plains G. Feingold and W. L. Eberhard National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado D. E. Vernon and M. Previdi Rutgers University New Brunswick, New Jersey Abstract We have demonstrated first measurements of the aerosol indirect effect using ground-based remote sensors at the Southern Great Plains (SGP) site. The response of non-precipitating, ice-free clouds to changes in aerosol loading is quantified in terms of a relative change in cloud-drop effective radius (r e ) for a relative change in aerosol extinction under conditions of equivalent cloud liquid water path (LWP). This is done in a single column of air at a temporal resolution of 20 s (spatial resolution of ~100 m).
Spring Thaw and Its Effect on Terrestrial Vegetation Productivity in the Western Arctic Observed from Satellite Microwave and Optical Remote Sensing
Global satellite remote sensing records show evidence of recent vegetation greening and an advancing growing season at high latitudes. Satellite remote sensing�derived measures of photosynthetic leaf area index (LAI) and vegetation gross and net ...
J. S. Kimball; K. C. McDonald; M. Zhao
Assimilation of Remote-sensing Soil Moisture in Short-term River Forecasting M. Pan1, E. F. Wood1, W. Crow2, J. Schaake3
Assimilation of Remote-sensing Soil Moisture in Short-term River Forecasting M. Pan1, E. F. Wood1 Hydrology and Remote Sensing Lab, US Department of Agriculture 3 National Weather Service, National Oceanic and Atmospheric Administration 1. Introduction This study focuses on evaluation of hydrologic remote sensing
Pan, Ming
Remote Sensing for Hazard Mitigation and Resource Protection in Pacific Latin America Gregg Bluth (PI); John Gierke, Bill Rose, Essa Gross (Co-PI's)
Remote Sensing for Hazard Mitigation and Resource Protection in Pacific Latin America Gregg Bluth the ability to deal with uncertainty in analyzing problems and designing solutions. Remote sensing provides these qualities. Although remote sensing has great potential and is commonly used in research for characterizing
The Centre for Statistics at Goettingen University, Germany, is inviting applications for 1 PhD Position in Forest Inventory and Remote Sensing
D Position in Forest Inventory and Remote Sensing (75 % E 13 TV-L) within the Research Training Group (RTG, ecology, econometrics, genetics, and remote sensing by means of statistical methods, Ecosystem Modelling, Forest Inventory and Remote Sensing, Genetic Epidemiology, Mathematical Stochastics
Munk, Axel
Remote monitoring of emissions using on-vehicle sensing and vehicle to roadside communications
Recent developments in on-vehicle electronics makes practical remote monitoring of vehicle emissions compliance with CARB and EPA regulations. A system consisting of emission controls malfunction sensors, an on-board computer (OBC), and vehicle-to-roadside communications (VRC) would enable enforcement officials to remotely and automatically detect vehicle out-of-compliance status. Remote sensing could be accomplished at highway speeds as vehicles pass a roadside RF antenna and reader unit which would interrogate the on- vehicle monitoring and recording system. This paper will focus on the hardware system components require to achieve this goal with special attention to the VRC; a key element for remote monitoring. this remote sensing concept piggybacks on the development of inexpensive VRC equipment for automatic vehicle identification for electronic toll collection and intelligent transportation applications. Employing an RF transponder with appropriate interface to the OBC and malfunction sensors, a practical monitoring system can be developed with potentially important impact on air quality and enforcement. With such a system in place, the current -- and costly and ineffective -- emission control strategy of periodic smog checking could be replaced or modified.
Davis, D.T.
Remote Sensing Observations from MTI Satellites and GMS Over Tropical Island of Nauru
Remote Sensing Observations from MTI Satellites and Remote Sensing Observations from MTI Satellites and GMS Over Tropical Island of Nauru W. M. Porch, P. Chylek, and B. Henderson Los Alamos National Laboratory Los Alamos, New Mexico Introduction The observations of island cloud trails have revealed a strong relationship between the character and frequency of occurrence of island cloud trails and the Tropical Ocean Southern Oscillation (MacFarlane et al. 2004 a, b). Island cloud trails from the U.S. Department of Energy's (DOE) Atmospheric and Radiation Measurement (ARM) facility of Nauru persist for more than 50 km (Nordeen et al. 2001) and resemble ship trail clouds found in the Eastern Ocean Margins (Porch et al. 1999). Island trail clouds are much more frequently observed during La Niña periods than El Niño periods (Figure 1). This
Hybrid bio-inspired techniques for land cover feature extraction: A remote sensing perspective
Recent advances in the theoretical and practical implementations of biogeography have led to the exploration of new bio-inspired techniques which can prove to be the building blocks of hybrid bio-inspired techniques. This aspect was discovered while ... Keywords: ACO, Ant Colony Optimization, BBO, Biogeography, DEM, DN, DPSO, E, FCM, Feature extraction, GA, HSI, I, Image classification, Kappa Coefficient, LISS, MDMC, MIR, MLC, NIR, PSO, Particle Swarm Optimization, RCBBO, RS1, RS2, Remote sensing, SAR, SIV, TSP
Lavika Goel; Daya Gupta; V. K. Panchal
Stability and Turbulence in the Atmospheric Boundary Layer: A Comparison of Remote Sensing and Tower Observations
When monitoring winds and atmospheric stability for wind energy applications, remote sensing instruments present some advantages to in-situ instrumentation such as larger vertical extent, in some cases easy installation and maintenance, measurements of vertical humidity profiles throughout the boundary layer, and no restrictions on prevailing wind directions. In this study, we compare remote sensing devices, Windcube lidar and microwave radiometer, to meteorological in-situ tower measurements to demonstrate the accuracy of these measurements and to assess the utility of the remote sensing instruments in overcoming tower limitations. We compare temperature and wind observations, as well as calculations of Brunt-Vaisala frequency and Richardson numbers for the instrument deployment period in May-June 2011 at the U.S. Department of Energy National Renewable Energy Laboratory's National Wind Technology Center near Boulder, Colorado. The study reveals that a lidar and radiometer measure wind and temperature with the same accuracy as tower instruments, while also providing advantages for monitoring stability and turbulence. We demonstrate that the atmospheric stability is determined more accurately when the liquid-water mixing ratio derived from the vertical humidity profile is considered under moist-adiabatic conditions.
Friedrich, K.; Lundquist, J. K.; Aitken, M.; Kalina, E. A.; Marshall, R. F.
Remote Sensing of Cirrus Radiative Parameters during EUCREX�94. Case Study of 17 April 1994. Part I: Observations
During the intensive European Cloud and Radiation Experiment 1994 (EUCREX�94) conducted off the coast of Brittany (France) over the Atlantic Ocean during April 1994, natural cirrus have been analyzed from in situ and remote sensing measurements. ...
Laurent Sauvage; Pierre H. Flamant; H�l�ne Chepfer; G�rard Brogniez; Vincent Trouillet; Jacques Pelon; Franck Albers
A Midlatitude Cirrus Cloud Climatology from the Facility for Atmospheric Remote Sensing. Part II: Microphysical Properties Derived from Lidar Depolarization
In Part II of this series of papers describing the results of the extended time observations of cirrus clouds from the University of Utah Facility for Atmospheric Remote Sensing (FARS), the information content of laser backscatter depolarization ...
Kenneth Sassen; Sally Benson
An algorithm to estimate soil moisture over vegetated areas based on in situ and remote sensing information
An algorithm is proposed for estimating soil moisture over vegetated areas. The algorithm uses in situ and remote sensing information and statistical tools to estimate soil moisture at 1 km spatial resolution and at 20 cm ...
N. D. Ram�rez-Beltran, C. Calder�n-Arteaga, E. Harmsen, R. Vasquez, J. Gonzalez
Relationships among Remotely Sensed Data, Surface Energy Balance, and Area-Averaged Fluxes over Partially Vegetated Land Surfaces
Numerous recent field experiments have examined the use of remote sensing to estimate land surface fluxes of latent and sensible heat using combinations of thermal, visible, and near-infrared data. While substantial progress has been made, ...
M. A. Friedl
Assessing Groundwater Storage Changes Using Remote Sensing�Based Evapotranspiration and Precipitation at a Large Semiarid Basin Scale
A method is presented that uses remote sensing (RS)-based evapotranspiration (ET) and precipitation estimates with improved accuracies under semiarid conditions to quantify a spatially distributed water balance, for analyzing groundwater storage ...
Mustafa Gokmen; Zoltan Vekerdy; Maciek W. Lubczynski; Joris Timmermans; Okke Batelaan; Wouter Verhoef
Advances in the remote sensing of volcanic activity and hazards, with special consideration to applications in developing countries
Applications of remote sensing for studies of volcanic activity and hazards have developed rapidly in the past 40 years. This has facilitated the observation of volcanic processes, such as ground deformation and thermal emission changes, lava flows, ...
G. G. J. Ernst; M. Kervyn; R. M. Teeuw
Comparing Aircraft-Based Remotely Sensed Energy Balance Fluxes with Eddy Covariance Tower Data Using Heat Flux Source Area Functions
In an effort to better evaluate distributed airborne remotely sensed sensible and latent heat flux estimates, two heat flux source area (footprint) models were applied to the imagery, and their pixel weighting/integrating functionality was ...
Jos�L. Ch�vez; Christopher M. U. Neale; Lawrence E. Hipps; John H. Prueger; William P. Kustas
A Midlatitude Cirrus Cloud Climatology from the Facility for Atmospheric Remote Sensing. Part I: Macrophysical and Synoptic Properties
A uniquely extensive high cloud dataset has been collected from the University of Utah Facility for Atmospheric Remote Sensing in support of the First (ISCCP) International Satellite Cloud Climatology Project Regional Experiment extended time ...
Kenneth Sassen; James R. Campbell
An Advanced Optimal Spectral Estimation Algorithm in Fourier Spectroscopy with Application to Remote Sensing of the Atmosphere
Remote sensing of the atmosphere from satellite to improve numerical weather prediction demands objective data handling methods, as the effectiveness of satellite data ultimately rests on our ability to process the data in real time. In this ...
U. Amato; V. Cuomo; C. Serio
Remotely Sensing the Earth�s Atmosphere Using the Global Positioning System (GPS)�The GPS/MET Data Analysis
The Global Positioning System/Meteorology (GPS/MET) project is an active satellite-to-satellite remote sensing experiment using the radio occultation technique. Due to the atmospheric index of refraction and gradient of the index of refraction, ...
Derek D. Feng; Benjamin M. Herman
Using SAR Remote Sensing, Field Observations, and Models to Better Understand Coastal Flows in the Gulf of Alaska
The steeply rising coastal terrain of southeast Alaska can produce a wide variety of terrain-induced flows such as barrier jets, gap flows, and downslope wind storms. This study uses a combination of satellite remote sensing, field observations, ...
Nathaniel S. Winstead; Brian Colle; Nicholas Bond; George Young; Joseph Olson; Kenneth Loescher; Frank Monaldo; Donald Thompson; William Pichel
Atmospheric Correction Algorithm for Hyperspectral Imagery
In December 1997, the US Department of Energy (DOE) established a Center of Excellence (Hyperspectral-Multispectral Algorithm Research Center, HyMARC) for promoting the research and development of algorithms to exploit spectral imagery. This center is located at the DOE Remote Sensing Laboratory in Las Vegas, Nevada, and is operated for the DOE by Bechtel Nevada. This paper presents the results to date of a research project begun at the center during 1998 to investigate the correction of hyperspectral data for atmospheric aerosols. Results of a project conducted by the Rochester Institute of Technology to define, implement, and test procedures for absolute calibration and correction of hyperspectral data to absolute units of high spectral resolution imagery will be presented. Hybrid techniques for atmospheric correction using image or spectral scene data coupled through radiative propagation models will be specifically addressed. Results of this effort to analyze HYDICE sensor data will be included. Preliminary results based on studying the performance of standard routines, such as Atmospheric Pre-corrected Differential Absorption and Nonlinear Least Squares Spectral Fit, in retrieving reflectance spectra show overall reflectance retrieval errors of approximately one to two reflectance units in the 0.4- to 2.5-micron-wavelength region (outside of the absorption features). These results are based on HYDICE sensor data collected from the Southern Great Plains Atmospheric Radiation Measurement site during overflights conducted in July of 1997. Results of an upgrade made in the model-based atmospheric correction techniques, which take advantage of updates made to the moderate resolution atmospheric transmittance model (MODTRAN 4.0) software, will also be presented. Data will be shown to demonstrate how the reflectance retrieval in the shorter wavelengths of the blue-green region will be improved because of enhanced modeling of multiple scattering effects.
R. J. Pollina
Streamlined environmental remediation characterization using remote sensing techniques: Case studies for the US Department of Energy, Oak Ridge Operations
This paper provides an overview of the DOE Oak Ridge Operations Remote Sensing Program and discusses how data from this program have assisted the environmental restoration program in streamlining site-characterization activities. Three case studies are described where remote sensing imagery has provided a more focused understanding of site problems with a resultant reduction in the need for costly and time-consuming, ground-based sampling approaches.
Carden, D.M. [Department of Energy (DOE), TN (United States). Oak Ridge Operations; Smyre, J.L.; Evers, T.K.; King, A.L. [Oak Ridge National Lab., TN (United States)] [and others
CALMIT Remote-Sensing Research Relating to Carbon Sequestration There is considerable interest in assessing the magnitude of carbon sources and sinks in terrestrial
CALMIT Remote-Sensing Research Relating to Carbon Sequestration There is considerable interest in assessing the magnitude of carbon sources and sinks in terrestrial ecosystems using remote sensing techniques. We developed a novel technique to remotely assess carbon dioxide exchange in maize using
NASA Cold Land Processes Experiment (CLPX 2002/03): Spaceborne Remote Sensing
This paper describes satellite data collected as part of the 2002/03 Cold Land Processes Experiment (CLPX). These data include multispectral and hyperspectral optical imaging, and passive and active microwave observations of the test areas. The ...
Robert E. Davis; Thomas H. Painter; Rick Forster; Don Cline; Richard Armstrong; Terry Haran; Kyle McDonald; Kelly Elder
NASA Cold Land Processes Experiment (CLPX 2002/03): Airborne Remote Sensing
This paper describes the airborne data collected during the 2002 and 2003 Cold Land Processes Experiment (CLPX). These data include gamma radiation observations, multi- and hyperspectral optical imaging, optical altimetry, and passive and active ...
Don Cline; Simon Yueh; Bruce Chapman; Boba Stankov; Al Gasiewski; Dallas Masters; Kelly Elder; Richard Kelly; Thomas H. Painter; Steve Miller; Steve Katzberg; Larry Mahrt
Measurements of aerosol properties from aircraft, satellite and ground-based remote sensing: a case-study from the Dust and Biomass-burning Experiment (DABEX)
Measurements of aerosol properties from aircraft, satellite and ground-based remote sensing: A case study from the Dust and Biomass burning Experiment (DABEX)
Johnson, B. T.; Christopher, S.; Haywood, J.; Osborne, S. R.; McFarlane, Sally; Hsu, C.; Salustro, C.; Kahn, Ralph
Inclusion of In-Situ Velocity Measurements into�the�UCSD Time-Dependent Tomography to�Constrain and Better-Forecast Remote-Sensing Observations
to Constrain and Better-Forecast Remote-Sensing Observationsa decade to reconstruct and forecast coronal mass ejectionset al. , 2009b). In this forecast, IPS results are compared
Jackson, B. V.; Hick, P. P.; Bisi, M. M.; Clover, J. M.; Buffington, A.
Remote sensing in a water-resources study of Yellowstone National Park, Wyoming, Montana, and Idaho
This report describes the usefulness of remote-sensing data in a water-resources study of Yellowstone National Park by delineating warm and cool ground-water areas. Remote-sensing data from aircraft missions in August 1966, September 1967, August 1969, and May 1970 were compared with reconnaissance, ground-temperature surveys, and test-hole data. Thermal-water discharge areas can be determined from infrared imagery and photography from the aircraft missions. Contrasts on infrared imagery caused by differences in vegetative cover, particularly between forested and nonforested areas, often mask the effects of ground-water temperature differences. The imagery, however, shows relatively warm and cool land surface in some areas. Color and color infrared photographs have been useful in reconnaissance. Aerial photographs and field studies of snowpack conditions indicated the usefulness of aerial photography taken during spring snowmelt to determine relatively cool and warm land-surface areas. A snowline in Nez Perce Creek Valley corresponds to a boundary between cool and warm ground water that was determined from augered test holes and ground-temperature surveys. Remnants of the snowpack correlate well with cool areas interpreted from infrared imagery. Relatively cool areas are easier to determine from photographs of snowpack than they are from infrared imagery. Thermal-contour maps could be made from a series of aerial photographs or repetitive data from a satellite taken during the melting of the snowpack.
Cox, E.R.
Evaluation of CLM4 Solar Radiation Partitioning Scheme Using Remote Sensing and Site Level FPAR Datasets
Abstract: This paper examines a land surface solar radiation partitioning scheme, i.e., that of the Community Land Model version 4 (CLM4) with coupled carbon and nitrogen cycles. Taking advantage of a unique 30-year fraction of absorbed photosynthetically active radiation (FPAR) dataset, derived from the Global Inventory Modeling and Mapping Studies (GIMMS) normalized difference vegetation index (NDVI) data set, multiple other remote sensing datasets, and site level observations, we evaluated the CLM4 FPAR�s seasonal cycle, diurnal cycle, long-term trends, and spatial patterns. Our findings show that the model generally agrees with observations in the seasonal cycle, long-term trends, and spatial patterns, but does not reproduce the diurnal cycle. Discrepancies also exist in seasonality magnitudes, peak value months, and spatial heterogeneity. We identify the discrepancy in the diurnal cycle as, due to, the absence of dependence on sun angle in the model. Implementation of sun angle dependence in a one-dimensional (1-D) model is proposed. The need for better relating of vegetation to climate in the model, indicated by long-term trends, is also noted. Evaluation of the CLM4 land surface solar radiation partitioning scheme using remote sensing and site level FPAR datasets provides targets for
Kai Wang; Jiafu Mao; Robert E. Dickinson; Xiaoying Shi; Wilfred M. Post; Zaichun Zhu; Ranga B. Myneni
Co-design of software and hardware to implement remote sensing algorithms
Both for offline searches through large data archives and for onboard computation at the sensor head, there is a growing need for ever-more rapid processing of remote sensing data. For many algorithms of use in remote sensing, the bulk of the processing takes place in an 'inner loop' with a large number of simple operations. For these algorithms, dramatic speedups can often be obtained with specialized hardware. The difficulty and expense of digital design continues to limit applicability of this approach, but the development of new design tools is making this approach more feasible, and some notable successes have been reported. On the other hand, it is often the case that processing can also be accelerated by adopting a more sophisticated algorithm design. Unfortunately, a more sophisticated algorithm is much harder to implement in hardware, so these approaches are often at odds with each other. With careful planning, however, it is sometimes possible to combine software and hardware design in such a way that each complements the other, and the final implementation achieves speedup that would not have been possible with a hardware-only or a software-only solution. We will in particular discuss the co-design of software and hardware to achieve substantial speedup of algorithms for multispectral image segmentation and for endmember identification.
Theiler, J. P. (James P.); Frigo, J. (Janette); Gokhale, M. (Maya); Szymanski, J. J. (John J.)
Multisensor Fusion of Ground-based and Airborne Remote Sensing Data for Crop Condition Assessment
In this study, the performances of the optical sensors and instruments carried on both ground-based and airborne platforms were evaluated for monitoring crop growing status, detecting the vegetation response to aerial applied herbicides, and identifying crop nitrogen status. Geostatistical analysis on remotely sensed data was conducted to investigate spatial structure of crop canopy normalized difference vegetation index and multispectral imagery. A computerized crop monitoring system was developed that combined sensors and instruments that measured crop structure and spectral data with a global positioning system. The integrated crop monitoring system was able to collect real-time, multi-source, multi-form, and crop related data simultaneously as the tractor-mounted system moved through the field. This study firstly used remotely sensed data to evaluate glyphosate efficacy on weeds applied with conventional and emerging aerial spray nozzles. A weedy field was In this study, the performances of the optical sensors and instruments carried on both ground-based and airborne platforms were evaluated for monitoring crop growing status, detecting the vegetation response to aerial applied herbicides, and identifying crop nitrogen status. Geostatistical analysis on remotely sensed data was conducted to investigate spatial structure of crop canopy normalized difference vegetation index and multispectral imagery. A computerized crop monitoring system was developed that combined sensors and instruments that measured crop structure and spectral data with a global positioning system. The integrated crop monitoring system was able to collect real-time, multi-source, multi-form, and crop related data simultaneously as the tractor-mounted system moved through the field. This study firstly used remotely sensed data to evaluate glyphosate efficacy on weeds applied with conventional and emerging aerial spray nozzles. A weedy field was set up in three blocks and four aerial spray technology treatments were tested. Spectral reflectance measurements were taken using ground-based sensors from all the plots at 1, 8, and 17 days after treatment. The results indicated that the differences among the treatments could be detected with spectral data. This study could provide applicators with guidance equipment configurations that can result in herbicide savings and optimized applications in other crops. The main focus of this research was to apply sensor fusion technology to ground-based and airborne imagery data. Experimental plots cropped with cotton and soybean plants were set up with different nitrogen application rates. The multispectral imagery was acquired by an airborne imaging system over crop field; at the same period, leaf chlorophyll content and spectral reflectance measurements were gathered with chlorophyll meter and spectroradiometer at canopy level on the ground, respectively. Statistical analyses were applied on the data from individual sensor for discrimination with respect to the nitrogen treatment levels. Multisensor data fusion was performed at data level. The results showed that the data fusion of airborne imagery with ground-based data were capable of improving the performance of remote sensing data on detection of crop nitrogen status. The method may be extended to other types of data, and data fusion can be performed at feature or decision level.
Zhang, Huihui
Ophir Corporation was awarded a contract by the U. S. Department of Energy, National Energy Technology Laboratory under the Project Title ''Airborne, Optical Remote Sensing of Methane and Ethane for Natural Gas Pipeline Leak Detection'' on October 14, 2002. This second six-month technical report summarizes the progress made towards defining, designing, and developing the hardware and software segments of the airborne, optical remote methane and ethane sensor. The most challenging task to date has been to identify a vendor capable of designing and developing a light source with the appropriate output wavelength and power. This report will document the work that has been done to identify design requirements, and potential vendors for the light source. Significant progress has also been made in characterizing the amount of light return available from a remote target at various distances from the light source. A great deal of time has been spent conducting laboratory and long-optical path target reflectance measurements. This is important since it helps to establish the overall optical output requirements for the sensor. It also reduces the relative uncertainty and risk associated with developing a custom light source. The data gathered from the optical path testing has been translated to the airborne transceiver design in such areas as: fiber coupling, optical detector selection, gas filters, and software analysis. Ophir will next, summarize the design progress of the transceiver hardware and software development. Finally, Ophir will discuss remaining project issues that may impact the success of the project.
Jerry Myers
1939-1404) SPECIAL ISSUE ON HIGH PERFORMANCE COMPUTING IN EARTH OBSERVATION AND REMOTE SENSING Foreword to the Special Issue on High Performance Computing in Earth Observation and Remote Sensing .................................... ................................................................ C. A. Lee, S. D. Gasster, A. Plaza, C.-I Chang, and B. Huang 508 High Performance Computing
Effective Radius of Cloud Droplets by Ground-Based Remote Sensing: Relationships to Aerosol?
Effective Radius of Cloud Droplets by Ground-Based Effective Radius of Cloud Droplets by Ground-Based Remote Sensing: Relationships to Aerosol? B.-G. Kim, S. E. Schwartz, and M. A. Miller Environmental Sciences Department Brookhaven National Laboratory Upton, New York Q.-L. Min Atmospheric Science Research Center State University of New York Albany, New York Introduction Aerosol Indirect Effect Increases in anthropogenic sources of cloud condensation nuclei can increase cloud albedo by increasing the concentration and reducing the size of cloud droplets, usually referred to as the indirect effect of aerosol on climate (Twomey 1977). However, the magnitudes of the various kinds of indirect forcing are particularly uncertain, because they involve subtle changes in cloud radiative properties and lifetimes
Posters Toward an Operational Water Vapor Remote Sensing System Using the Global Positioning System
3 3 Posters Toward an Operational Water Vapor Remote Sensing System Using the Global Positioning System S. I. Gutman, (a) R. B. Chadwick, (b) and D. W. Wolf (c) National Oceanic and Atmospheric Administration Boulder, Colorado A. Simon Cooperative Institute for Research in Environmental Science Boulder, Colorado T. Van Hove and C. Rocken University Navstar Consortium Boulder, Colorado Background Water vapor is one of the most important constituents of the free atmosphere since it is the principal mechanism by which moisture and latent heat are transported and cause "weather." The measurement of atmospheric water vapor is essential for weather and climate research as well as for operational weather forecasting. An important goal in modern weather prediction is to improve the accuracy of short-term
Integrated ground-based and remotely sensed data to support global studies of environmental change
Data centers routinely archive and distribute large databases of high quality and with rigorous documentation but, to meet the needs of global studies effectively and efficiently, data centers must go beyond these traditional roles. Global studies of environmental change require integrated databases of multiple data types that are accurately coordinated in terms of spatial, temporal and thematic properties. Such datasets must be designed and developed jointly by scientific researchers, computer specialists, and policy analysts. The presentation focuses on our approach for organizing data from ground-based research programs so that the data can be linked with remotely sensed data and other map data into integrated databases with spatial, temporal, and thematic characteristics relevant to global studies. The development of an integrated database for Net Primary Productivity is described to illustrate the process.
Olson, R.J.; Turner, R.S.; Garten, C.T.
Results of the remote sensing feasibility study for the uranium hexafluoride storage cylinder yard program
The US DOE manages the safe storage of approximately 650,000 tons of depleted uranium hexafluoride remaining from the Cold War. This slightly radioactive, but chemically active, material is contained in more than 46,000 steel storage cylinders that are located at Oak Ridge, Tennessee; Paducah, Kentucky; and Portsmouth, Ohio. Some of the cylinders are more than 40 years old, and approximately 17,500 are considered problem cylinders because their physical integrity is questionable. These cylinders require an annual visual inspection. The remainder of the 46,000-plus cylinders must be visually inspected every four years. Currently, the cylinder inspection program is extremely labor intensive. Because these inspections are accomplished visually, they may not be effective in the early detection of leaking cylinders. The inspection program requires approximately 12--14 full-time-equivalent (FTE) employees. At the cost of approximately $125K per FTE, this translates to $1,500K per annum just for cylinder inspection. As part of the technology-development portion of the DOE Cylinder Management Program, the DOE Office of Facility Management requested the Remote Sensing Laboratory (RSL) to evaluate remote sensing techniques that have potential to increase the effectiveness of the inspection program and, at the same time, reduce inspection costs and personnel radiation exposure. During two site visits (March and May 1996) to the K-25 Site at Oak Ridge, TN, RSL personnel tested and characterized seven different operating systems believed to detect leakage, surface contamination, thickness and corrosion of cylinder walls, and general area contamination resulting from breached cylinders. The following techniques were used and their performances are discussed: Laser-induced fluorescent imaging; Long-range alpha detection; Neutron activation analysis; Differential gamma-ray attenuation; Compton scatterometry; Active infrared inspection; and Passive thermal infrared imaging.
Balick, L.K.; Bowman, D.R. [Bechtel Nevada, Las Vegas, NV (United States). Remote Sensing Lab.; Bounds, J.H. [Los Alamos National Lab., NM (United States)] [and others
Ophir Corporation was awarded a contract by the U. S. Department of Energy, National Energy Technology Laboratory under the Project Title ''Airborne, Optical Remote Sensing of Methane and Ethane for Natural Gas Pipeline Leak Detection'' on October 14, 2002. The third six-month technical report contains a summary of the progress made towards finalizing the design and assembling the airborne, remote methane and ethane sensor. The vendor has been chosen and is on contract to develop the light source with the appropriate linewidth and spectral shape to best utilize the Ophir gas correlation software. Ophir has expanded upon the target reflectance testing begun in the previous performance period by replacing the experimental receiving optics with the proposed airborne large aperture telescope, which is theoretically capable of capturing many times more signal return. The data gathered from these tests has shown the importance of optimizing the fiber optic receiving fiber to the receiving optic and has helped Ophir to optimize the design of the gas cells and narrowband optical filters. Finally, Ophir will discuss remaining project issues that may impact the success of the project.
Advances in large-area Hg1-xCdxTe photovoltaic detectors for remote-sensing applications
State-of-the-art large-area photovoltaic (PV) detectors fabricated in HgCdTe grown by molecular beam epitaxy (MBE) have been demonstrated for the Crosstrack Infrared Sounder (CrIS) instrument. Large-area devices (1 mm in diameter) yielded excellent electrical ... Keywords: HgCdTe, crosstrack infrared sounder, molecular beam epitaxy (MBE), photovoltaic detectors, remote sensing
P. S. Wijewarnasuriya; M. Zandian; J. Phillips; D. Edwall; R. E. Dewames; G. Hildebrandt; J. Bajaj; J. M. Arias; A. I. D'Souza; F. Moore
2644 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 46, NO. 9, SEPTEMBER 2008 Ocean Wavenumber Estimation From
Wavenumber Estimation From Wave-Resolving Time Series Imagery Nathaniel G. Plant, K. Todd Holland gravity wavenumbers from wave-resolving remotely sensed image sequences. Two fundamentally different approaches that utilize these data exist. A power spectral density approach identifies wavenumbers where
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 3, NO. 3, JULY 2006 287 The Influence of Thermodynamic Phase on the
with respect to the assumption of a cloud containing solely liquid or ice phase particles. The analyses suggest liquid phase (or pure ice phase) is assumed for the cloud, whereas the corresponding cloud optical, optical thickness, remote sensing. I. INTRODUCTION BOTH ice and water phase particles may coexist
Baum, Bryan A.
A ZigBee multi-powered wireless acquisition device for remote sensing applications in precision viticulture
This paper is part of a long-term effort to introduce precision viticulture in the region of Demarcated Region of Douro. It presents the architecture, hardware and software of a platform designed for that purpose, called MPWiNodeZ. A major feature of ... Keywords: Acquisition device, Energy harvesting, Remote sensing, Viticulture, Wireless sensor network, ZigBee
Raul Morais; Miguel A. Fernandes; Samuel G. Matos; Carlos Ser�dio; P. J. S. G. Ferreira; M. J. C. S. Reis
Contribution of Thermal Infrared Remote Sensing Data in Multiobjective Calibration of a Dual-Source SVAT Model
This study fits within the overall research on the usage of space remote sensing data to constrain land surface models (LSMs) (also called SVAT models for soil�vegetation�atmosphere transfer). The goal of this paper is to analyze the potential of ...
Benoit Coudert; Catherine Ottl�; Brice Boudevillain; J�r�me Demarty; Pierre Guillevic
Systematic evaluation of satellite remote sensing for identifying uranium mines and mills.
In this report, we systematically evaluate the ability of current-generation, satellite-based spectroscopic sensors to distinguish uranium mines and mills from other mineral mining and milling operations. We perform this systematic evaluation by (1) outlining the remote, spectroscopic signal generation process, (2) documenting the capabilities of current commercial satellite systems, (3) systematically comparing the uranium mining and milling process to other mineral mining and milling operations, and (4) identifying the most promising observables associated with uranium mining and milling that can be identified using satellite remote sensing. The Ranger uranium mine and mill in Australia serves as a case study where we apply and test the techniques developed in this systematic analysis. Based on literature research of mineral mining and milling practices, we develop a decision tree which utilizes the information contained in one or more observables to determine whether uranium is possibly being mined and/or milled at a given site. Promising observables associated with uranium mining and milling at the Ranger site included in the decision tree are uranium ore, sulfur, the uranium pregnant leach liquor, ammonia, and uranyl compounds and sulfate ion disposed of in the tailings pond. Based on the size, concentration, and spectral characteristics of these promising observables, we then determine whether these observables can be identified using current commercial satellite systems, namely Hyperion, ASTER, and Quickbird. We conclude that the only promising observables at Ranger that can be uniquely identified using a current commercial satellite system (notably Hyperion) are magnesium chlorite in the open pit mine and the sulfur stockpile. Based on the identified magnesium chlorite and sulfur observables, the decision tree narrows the possible mineral candidates at Ranger to uranium, copper, zinc, manganese, vanadium, the rare earths, and phosphorus, all of which are milled using sulfuric acid leaching.
Blair, Dianna Sue; Stork, Christopher Lyle; Smartt, Heidi Anne; Smith, Jody Lynn
Ophir Corporation was awarded a contract by the U. S. Department of Energy, National Energy Technology Laboratory under the Project Title ''Airborne, Optical Remote Sensing of Methane and Ethane for Natural Gas Pipeline Leak Detection'' on October 14, 2002. This six-month technical report summarizes the progress for each of the proposed tasks, discusses project concerns, and outlines near-term goals. Ophir has completed a data survey of two major natural gas pipeline companies on the design requirements for an airborne, optical remote sensor. The results of this survey are disclosed in this report. A substantial amount of time was spent on modeling the expected optical signal at the receiver at different absorption wavelengths, and determining the impact of noise sources such as solar background, signal shot noise, and electronic noise on methane and ethane gas detection. Based upon the signal to noise modeling and industry input, Ophir finalized the design requirements for the airborne sensor, and released the critical sensor light source design requirements to qualified vendors. Responses from the vendors indicated that the light source was not commercially available, and will require a research and development effort to produce. Three vendors have responded positively with proposed design solutions. Ophir has decided to conduct short path optical laboratory experiments to verify the existence of methane and absorption at the specified wavelength, prior to proceeding with the light source selection. Techniques to eliminate common mode noise were also evaluated during the laboratory tests. Finally, Ophir has included a summary of the potential concerns for project success and has established future goals.
Improving Rangeland Monitoring and Assessment: Integrating Remote Sensing, GIS, and Unmanned Aerial Vehicle Systems
Creeping environmental changes are impacting some of the largest remaining intact parcels of sagebrush steppe ecosystems in the western United States, creating major problems for land managers. The Idaho National Laboratory (INL), located in southeastern Idaho, is part of the sagebrush steppe ecosystem, one of the largest ecosystems on the continent. Scientists at the INL and the University of Idaho have integrated existing field and remotely sensed data with geographic information systems technology to analyze how recent fires on the INL have influenced the current distribution of terrestrial vegetation. Three vegetation mapping and classification systems were used to evaluate the changes in vegetation caused by fires between 1994 and 2003. Approximately 24% of the sagebrush steppe community on the INL was altered by fire, mostly over a 5-year period. There were notable differences between methods, especially for juniper woodland and grasslands. The Anderson system (Anderson et al. 1996) was superior for representing the landscape because it includes playa/bare ground/disturbed area and sagebrush steppe on lava as vegetation categories. This study found that assessing existing data sets is useful for quantifying fire impacts and should be helpful in future fire and land use planning. The evaluation identified that data from remote sensing technologies is not currently of sufficient quality to assess the percentage of cover. To fill this need, an approach was designed using both helicopter and fixed wing unmanned aerial vehicles (UAVs) and image processing software to evaluate six cover types on field plots located on the INL. The helicopter UAV provided the best system compared against field sampling, but is more dangerous and has spatial coverage limitations. It was reasonably accurate for dead shrubs and was very good in assessing percentage of bare ground, litter and grasses; accuracy for litter and shrubs is questionable. The fixed wing system proved to be feasible and can collect imagery for very large areas in a short period of time. It was accurate for bare ground and grasses. Both UAV systems have limitations, but these will be reduced as the technology advances. In both cases, the UAV systems collected data at a much faster rate than possible on the ground. The study concluded that improvements in automating the image processing efforts would greatly improve use of the technology. In the near future, UAV technology may revolutionize rangeland monitoring in the same way Global Positioning Systems have affected navigation while conducting field activities.
Robert Paul Breckenridge
Hyperspectral imaging of microalgae using two-photon excitation.
A considerable amount research is being conducted on microalgae, since microalgae are becoming a promising source of renewable energy. Most of this research is centered on lipid production in microalgae because microalgae produce triacylglycerol which is ideal for biodiesel fuels. Although we are interested in research to increase lipid production in algae, we are also interested in research to sustain healthy algal cultures in large scale biomass production farms or facilities. The early detection of fluctuations in algal health, productivity, and invasive predators must be developed to ensure that algae are an efficient and cost-effective source of biofuel. Therefore we are developing technologies to monitor the health of algae using spectroscopic measurements in the field. To do this, we have proposed to spectroscopically monitor large algal cultivations using LIDAR (Light Detection And Ranging) remote sensing technology. Before we can deploy this type of technology, we must first characterize the spectral bio-signatures that are related to algal health. Recently, we have adapted our confocal hyperspectral imaging microscope at Sandia to have two-photon excitation capabilities using a chameleon tunable laser. We are using this microscope to understand the spectroscopic signatures necessary to characterize microalgae at the cellular level prior to using these signatures to classify the health of bulk samples, with the eventual goal of using of LIDAR to monitor large scale ponds and raceways. By imaging algal cultures using a tunable laser to excite at several different wavelengths we will be able to select the optimal excitation/emission wavelengths needed to characterize algal cultures. To analyze the hyperspectral images generated from this two-photon microscope, we are using Multivariate Curve Resolution (MCR) algorithms to extract the spectral signatures and their associated relative intensities from the data. For this presentation, I will show our two-photon hyperspectral imaging results on a variety of microalgae species and show how these results can be used to characterize algal ponds and raceways.
Sinclair, Michael B.; Melgaard, David Kennett; Reichardt, Thomas A. (Sandia National Laboratories, Livermore, CA); Timlin, Jerilyn Ann; Garcia, Omar Fidel; Luk, Ting Shan; Jones, Howland D. T.; Collins, Aaron M.
Remote sensing for site-specific management of biotic and abiotic stress in cotton
This study evaluated the applicability of remote sensing instrumentation for site- specific management of abiotic and biotic stress on cotton grown under a center pivot. Three different irrigation regimes (100%, 75%, and 50% ETc) were imposed on a cotton field to 1) monitor canopy temperatures of cotton with infrared thermometers (IRTs) in order to pinpoint areas of biotic and abiotic stress, 2) compare aerial infrared photography to IRTs mounted on center pivots to correlate areas of biotic and abiotic stress, and 3) relate yield to canopy temperatures. Pivot-mounted IRTs and IR camera were able to differentiate water stress between the irrigation regimes, however, only the IR camera was effectively able to distinguish between biotic (cotton root rot) and abiotic (drought) stress with the assistance of groundtruthing. The 50% ETc regime had significantly higher canopy temperatures, which were reflected in significantly lower lint yields when compared to the 75% and 100% ETc regimes. Deficit irrigation up to 75% ETc had no impact on yield, indicating that water savings were possible without yield depletion.
Falkenberg, Nyland Ray
An intensity-modulated dual-wavelength He-Ne laser for remote sensing of methane
The differential absorption laser radar for methane sensing detects a leakage of methane gas by emitting into the atmosphere the light of a wavelength absorbable by methane, receiving the light returning after being reflected or scattered on a road or wall surface, etc., and measuring the light intensity lost during the travel. This methane detection system is highly practicable as it makes an instantaneous remote detection possible. The authors have developed a new He-Ne laser that could be used as the light source for the above system. This device emits a two-wavelength laser beam (one wavelength absorbable by methane and the other not absorbable by methane but used for referential purposes) from a single plasma tube, and there is no possibility of the axes of the two-wavelength component deviating from each other. Further, using this laser, they have developed a vehicle-mounted type differential absorption laser radar system which has successfully detected low density methane leakage while the vehicle was moving.
Ueki, T.; Tanaka, H.; Uehara, K.
ShrinkWrap: 3D model abstraction for remote sensing simulation
Remote sensing simulations often require the use of 3D models of objects of interest. There are a multitude of these models available from various commercial sources. There are image processing, computational, database storage, and . data access advantages to having a regularized, encapsulating, triangular mesh representing the surface of a 3D object model. However, this is usually not how these models are stored. They can have too much detail in some areas, and not enough detail in others. They can have a mix of planar geometric primitives (triangles, quadrilaterals, n-sided polygons) representing not only the surface of the model, but also interior features. And the exterior mesh is usually not regularized nor encapsulating. This paper presents a method called SHRlNKWRAP which can be used to process 3D object models to achieve output models having the aforementioned desirable traits. The method works by collapsing an encapsulating sphere, which has a regularized triangular mesh on its surface, onto the surface of the model. A GUI has been developed to make it easy to leverage this capability. The SHRlNKWRAP processing chain and use of the GUI are described and illustrated.
Pope, Paul A [Los Alamos National Laboratory
Large-scale functional models of visual cortex for remote sensing
Neuroscience has revealed many properties of neurons and of the functional organization of visual cortex that are believed to be essential to human vision, but are missing in standard artificial neural networks. Equally important may be the sheer scale of visual cortex requiring {approx}1 petaflop of computation. In a year, the retina delivers {approx}1 petapixel to the brain, leading to massively large opportunities for learning at many levels of the cortical system. We describe work at Los Alamos National Laboratory (LANL) to develop large-scale functional models of visual cortex on LANL's Roadrunner petaflop supercomputer. An initial run of a simple region VI code achieved 1.144 petaflops during trials at the IBM facility in Poughkeepsie, NY (June 2008). Here, we present criteria for assessing when a set of learned local representations is 'complete' along with general criteria for assessing computer vision models based on their projected scaling behavior. Finally, we extend one class of biologically-inspired learning models to problems of remote sensing imagery.
Brumby, Steven P [Los Alamos National Laboratory; Kenyon, Garrett [Los Alamos National Laboratory; Rasmussen, Craig E [Los Alamos National Laboratory; Swaminarayan, Sriram [Los Alamos National Laboratory; Bettencourt, Luis [Los Alamos National Laboratory; Landecker, Will [PORTLAND STATE UNIV.
Introduction to structure from motion and its applications in remote sensing
This talk discusses my experience at Los Alamos National Laboratories developing the Wide Area Persistent Surveillance (WAPS) system AngelFire and the problems with working with low resolution surface models. This experience provided a motivation to seek solutions to utilize the redundant WAPS imagery to build surface models of the urban environment. Structure from Motion (SfM) is a process that takes multiple view imagery and compute the 3D structure of a scene. We will walk through the basic algorithm and discuss areas for optimization. Military services and intelligence agencies face long-standing challenges with processing, exploiting, and disseminating ISR data. The problem is that too much data is being produced and not enough people to look at it and the problem is not going away. As a result of this data overload, we need to shift the way we think about data and find creative ways to use and present it so it can be easily digested by decision makers. SfM also provides a means for developing a data processing and organization architecture. Applications for various remote sensing applications will be discussed for motivation for why SfM and Multi-View Stereo rendering is an important area that needs to be continued to be developed.
Fair, Matt B [Los Alamos National Laboratory
Article Uncertainty of Forest Biomass Estimates in North Temperate Forests Due to Allometry: Implications for Remote Sensing
Abstract: Estimates of above ground biomass density in forests are crucial for refining global climate models and understanding climate change. Although data from field studies can be aggregated to estimate carbon stocks on global scales, the sparsity of such field data, temporal heterogeneity and methodological variations introduce large errors. Remote sensing measurements from spaceborne sensors are a realistic alternative for global carbon accounting; however, the uncertainty of such measurements is not well known and remains an active area of research. This article describes an effort to collect field data at the Harvard and Howland Forest sites, set in the temperate forests of the Northeastern United States in an attempt to establish ground truth forest biomass for calibration of remote sensing measurements. We present an assessment of the quality of ground truth biomass estimates derived from three different sets of diameter-based allometric equations over the Harvard and Howland Forests to establish the contribution of errors in ground truth data to the error in biomass estimates from remote sensing measurements.
Razi Ahmed; Paul Siqueira; Scott Hensley; Kathleen Bergen
Integrating Remote Sensing Data with WRF for Improved Simulations of Oasis Effects on Local Weather Processes over an Arid Region in Northwestern China
Land use/cover types derived by satellite remote sensing data from the Earth Observing System Moderate Resolution Imaging Spectroradiometer (MODIS) were used to replace the U.S. Geological Survey (USGS) data in the Weather Research and Forecasting ...
Xiaohang Wen; Shihua Lu; Jiming Jin
Acoustic Tomography as a Remote Sensing Method to Investigate the Near-Surface Atmospheric Boundary Layer in Comparison with In Situ Measurements
The acoustic tomography method is applied in the atmospheric surface layer to observe near-surface temperature fields. Important advantages of this technique are the remote sensing capacity and the possibility of directly deriving area-average ...
Astrid Ziemann; Klaus Arnold; Armin Raabe
The Motion of a Solid Sphere in an Oscillating Flow: An Evaluation of Remotely Sensed Doppler Velocity Estimates in the Sea
Several popular techniques employed to remotely sense oceanic velocity fields utilize the Doppler shifts of backscattered radiation (such as sound or light) from suspended particles to estimate fluid velocities. Implicit in this use is the ...
David A. Siegel; Albert J. Plueddemann
A Simple Method of Deriving Three-Dimensional Temperature Fields Using Remotely Sensed and In Situ Data for Application to Numerical Hydrodynamic Models of Estuaries and Bays
This paper describes the subjective interpolation method (SIM) for generating three-dimensional temperature distributions from remotely sensed sea surface temperature (SST) fields. SIM incorporates MATLAB-based cloud removal software and a method ...
Timothy R. Keen; Richard W. Gould; Jean-Francois Cayula; Walton E. McBride; John P. Blaha; Clark Rowley
Remote sensing evaluation of CLM4 GPP for the period 2000 to 2009
The ability of a process-based ecosystem model like Version 4 of the Community Land Model (CLM4) to provide accurate estimates of CO2 flux is a top priority for researchers, modelers and policy makers. Remote sensing can provide long-term and large scale products suitable for ecosystem model evaluation. Global estimations of gross primary production (GPP) at the 1 km spatial resolution from years 2000 to 2009 from the MODIS (Moderate Resolution Imaging Spectroradiometer) sensor offer a unique opportunity for evaluating the temporal and spatial patterns of global GPP and its relationship with climate for CLM4. We compare monthly GPP simulated by CLM4 at half-degree resolution with satellite estimates of GPP from the MODIS GPP (MOD17) dataset for the 10-yr period, January 2000 December 2009. The assessment is presented in terms of long-term mean carbon assimilation, seasonal mean distributions, amplitude and phase of the annual cycle, and intra-annual and inter-annual GPP variability and their responses to climate variables. For the long-term annual and seasonal means, major GPP patterns are clearly demonstrated by both products. Compared to the MODIS product, CLM4 overestimates the magnitude of GPP for tropical evergreen forests. CLM4 has longer carbon uptake period than MODIS for most plant functional types (PFTs) with an earlier onset of GPP in spring and later decline of GPP in autumn. Empirical Orthogonal Function (EOF) analysis of the monthly GPP changes indicates that on the intra-annual scale, both CLM4 and MODIS display similar spatial representations and temporal patterns for most terrestrial ecosystems except in northeast Russia and the very dry region in central Australia. For 2000-2009, CLM4 simulates increases in annual averaged GPP over both hemispheres, however estimates from MODIS suggest a reduction in the Southern Hemisphere (-0.2173 PgC/year) balancing the significant increase over the Northern Hemisphere (0.2157 PgC/year).
Mao, Jiafu [ORNL; Thornton, Peter E [ORNL; Shi, Xiaoying [ORNL; Zhao, Maosheng [ORNL; Post, Wilfred M [ORNL
Mathematical aspects of BRDF modeling: Adjoint problem and Green's function. Remote Sensing Reviews
Abstract ? Adjoint formulation of three?dimensional radiative transfer and the Green's function concept have been developed in neutron transport several decades ago. This is not merely yet another method of simulating the radiative transfer process, but a method of reformulating the problem to better incorporate existing radiation models into a particular research. In the case of photon transport in vegetation canopies, the Green's function is a canopy radiative response to a point monodirectional source located outside the canopy. The Green's function, therefore, has intrinsic canopy information. It can be evaluated by using existing canopy radiation models. The problem?dependent adjoint formulation of radiative transfer allows us to express a particular canopy radiation effect in terms of the Green's function and, as a consequence, to better adjust the existing models to the solution of a specific radiation problem. Application of this technique to the retrieval of biophysical parameters from remotely sensed data (the table look?up method) was discussed in (Kimes et al., this issue). In this paper, we will illustrate how this concept can be applied to the estimation of cloud optical properties from ground?based measurements of spectral zenith radiance above the vegetation canopy under broken cloud conditions. In spite of different physical formulations of these problems, both of them use the Green's function to describe radiation fields due to the interaction between the canopy ground and the canopy and the canopy?clouds interaction. This technique allows us not only to extend an applicability range of existing canopy?radiation models, but also to incorporate of various approaches developed in other fields of physics into BRDF modeling and its applications.
Y. Knyazikhin; A. Marshak
The Occurrence of Particle Size Distribution Bimodality in Midlatitude Cirrus as Inferred from Ground-Based Remote Sensing Data
To better understand the role of small particles in the microphysical processes and the radiative properties of cirrus, the reliability of historical in-situ data must be understood. Recent studies call into question the validity of that data because of shattering of large crystals on probe and aircraft surfaces thereby artificially amplifying the concentration of crystals smaller than approximately 50 ?m. We contend that the general character of the in-situ measurements must be consistent, in a broad sense, with statistics derived from long-term remote sensing data. To examine this consistency, an algorithm using Doppler radar moments and Raman lidar extinction is developed to retrieve a bimodal particle size distribution and its uncertainty. Using case studies and statistics compiled over one year we show that the existence of high concentrations (> 1 cm-3 ) of small (sub 50 ?m) particles in cirrus are not consistent with any reasonable interpretation of the remote sensing data. We conclude that the high concentrations of small particles found in many aircraft data sets are therefore likely an artifact of the in situ measurement process.
Zhao, Yang; Mace, Gerald G.; Comstock, Jennifer M.
Spectral imaging applications: Remote sensing, environmental monitoring, medicine, military operations, factory automation and manufacturing
This paper reviews the activities at OKSI related to imaging spectroscopy presenting current and future applications of the technology. The authors discuss the development of several systems including hardware, signal processing, data classification algorithms and benchmarking techniques to determine algorithm performance. Signal processing for each application is tailored by incorporating the phenomenology appropriate to the process, into the algorithms. Pixel signatures are classified using techniques such as principal component analyses, generalized eigenvalue analysis and novel very fast neural network methods. The major hyperspectral imaging systems developed at OKSI include the Intelligent Missile Seeker (IMS) demonstration project for real-time target/decoy discrimination, and the Thermal InfraRed Imaging Spectrometer (TIRIS) for detection and tracking of toxic plumes and gases. In addition, systems for applications in medical photodiagnosis, manufacturing technology, and for crop monitoring are also under development.
Gat, N.; Subramanian, S. [Opto-Knowledge Systems, Inc. (United States); Barhen, J. [Oak Ridge National Lab., TN (United States); Toomarian, N. [Jet Propulsion Lab., Pasadena, CA (United States)
A Remote-Sensing View of a Freezing-Rain Storm
A destructive freezing-rain storm on 15 February 1990 was observed intensively with advanced ground-based remote sensors and conventional instruments by the Lake Ontario Winter Storms (LOWS) project in upstate New York. A deep layer of warm, ...
Brooks E. Martner; Jack B. Snider; Robert J. Zamora; Gregory P. Byrd; Thomas A. Niziol; Paul I. Joe
Remote Sensing and Sea-Truth Measurements of Methane Flux to the Atmosphere (HYFLUX project)
A multi-disciplinary investigation of distribution and magnitude of methane fluxes from seafloor gas hydrate deposits in the Gulf of Mexico was conducted based on results obtained from satellite synthetic aperture radar (SAR) remote sensing and from sampling conducted during a research expedition to three sites where gas hydrate occurs (MC118, GC600, and GC185). Samples of sediments, water, and air were collected from the ship and from an ROV submersible using sediments cores, niskin bottles attached to the ROV and to a rosette, and an automated sea-air interface collector. The SAR images were used to quantify the magnitude and distribution of natural oil and gas seeps that produced perennial oil slicks on the ocean surface. A total of 176 SAR images were processed using a texture classifying neural network algorithm, which segmented the ocean surface into oil-free and oil-covered water. Geostatistical analysis indicates that there are a total of 1081 seep formations distributed over the entire Gulf of Mexico basin. Oil-covered water comprised an average of 780.0 sq. km (sd 86.03) distributed with an area of 147,370 sq. km. Persistent oil and gas seeps were also detected with SAR sampling on other ocean margins located in the Black Sea, western coast of Africa, and offshore Pakistan. Analysis of sediment cores from all three sites show profiles of sulfate, sulfide, calcium and alkalinity that indicated anaerobic oxidation of methane with precipitation of authigenic carbonates. Difference among the three sampling sites may reflect the relative magnitude of methane flux. Methane concentrations in water column samples collected by ROV and rosette deployments from MC118 ranged from {approx}33,000 nM at the seafloor to {approx}12 nM in the mixed layer with isolated peaks up to {approx}13,670 nM coincident with the top of the gas hydrate stability field. Average plume methane, ethane, and propane concentrations in the mixed layer are 7, 630, and 9,540 times saturation, respectively. Based on the contemporaneous wind speeds at this site, contemporary estimates of the diffusive fluxes from the mixed layer to the atmosphere for methane, ethane, and propane are 26.5, 2.10, and 2.78 {micro}mol/m{sup 2}d, respectively. Continuous measurements of air and sea surface concentrations of methane were made to obtain high spatial and temporal resolution of the diffusive net sea-to-air fluxes. The atmospheric methane fluctuated between 1.70 ppm and 2.40 ppm during the entire cruise except for high concentrations (up to 4.01 ppm) sampled during the end of the occupation of GC600 and the transit between GC600 and GC185. Results from interpolations within the survey areas show the daily methane fluxes to the atmosphere at the three sites range from 0.744 to 300 mol d-1. Considering that the majority of seeps in the GOM are deep (>500 m), elevated CH{sub 4} concentrations in near-surface waters resulting from bubble-mediated CH4 transport in the water column are expected to be widespread in the Gulf of Mexico.
Ian MacDonald
Remote Sensing of Precipitable Water over the Oceans from Nimbus 7 Microwave Measurements
Nimbus 7 Scanning Multichannel Microwave Radiometer (SMMR) brightness temperature measurements in the 21 and 18 GHz channels are used to sense the precipitable water in the atmosphere over oceans. The difference in the brightness temperature (T21 ...
C. Prabhakara; H. D. Chang; A. T. C. Chang
Remote sensing data exploiration for geologic characterization of difficult targets : Laboratory Directed Research and Development project 38703 final report.
Characterizing the geology, geotechnical aspects, and rock properties of deep underground facility sites can enhance targeting strategies for both nuclear and conventional weapons. This report describes the results of a study to investigate the utility of remote spectral sensing for augmenting the geological and geotechnical information provided by traditional methods. The project primarily considered novel exploitation methods for space-based sensors, which allow clandestine collection of data from denied sites. The investigation focused on developing and applying novel data analysis methods to estimate geologic and geotechnical characteristics in the vicinity of deep underground facilities. Two such methods, one for measuring thermal rock properties and one for classifying rock types, were explored in detail. Several other data exploitation techniques, developed under other projects, were also examined for their potential utility in geologic characterization.
Costin, Laurence S.; Walker, Charles A.; Lappin, Allen R.; Hayat, Majeed M. (University of New Mexico, Albuquerque, NM); Ford, Bridget K.; Paskaleva, Biliana (University of New Mexico, Albuquerque, NM); Moya, Mary M.; Mercier, Jeffrey Alan (University of Arizona, Tucson, AZ); Stormont, John C. (University of New Mexico, Albuquerque, NM); Smith, Jody Lynn
Strategic Environmental Research and Development Program: Atmospheric Remote Sensing and Assessment Program -- Final Report. Part 1: The lower atmosphere
This report documents work done between FY91 and FY95 for the lower atmospheric portion of the joint Department of Defense (DoD) and Department of Energy (DOE) Atmospheric Remote Sensing and Assessment Program (ARSAP) within the Strategic Environmental Research and Development Program (SERDP). The work focused on (1) developing new measurement capabilities and (2) measuring atmospheric heating in a well-defined layer and then relating it to cloud properties an water vapor content. Seven new instruments were develop3ed for use with Unmanned Aerospace Vehicles (UAVs) as the host platform for flux, radiance, cloud, and water vapor measurements. Four major field campaigns were undertaken to use these new as well as existing instruments to make critically needed atmospheric measurements. Scientific results include the profiling of clear sky fluxes from near surface to 14 km and the strong indication of cloudy atmosphere absorption of solar radiation considerably greater than predicted by extant models.
Tooman, T.P. [ed.] [Sandia National Labs., Livermore, CA (United States). Exploratory Systems Technology Dept.
Hyperspectral Aquatic Radiative Transfer Modeling Using a High-Performance Cluster Computing Based Approach
For aquatic studies, radiative transfer (RT) modeling can be used to compute hyperspectral above-surface remote sensing reflectance that can be utilized for inverse model development. Inverse models can provide bathymetry and inherent- and bottom-optical property estimation. Because measured oceanic field/organic datasets are often spatio-temporally sparse, synthetic data generation is useful in yielding sufficiently large datasets for inversion model development; however, these forward-modeled data are computationally expensive and time-consuming to generate. This study establishes the magnitude of wall-clock-time savings achieved for performing large, aquatic RT batch-runs using parallel computing versus a sequential approach. Given 2,600 simulations and identical compute-node characteristics, sequential architecture required {approx}100 hours until termination, whereas a parallel approach required only {approx}2.5 hours (42 compute nodes) - a 40x speed-up. Tools developed for this parallel execution are discussed.
Fillippi, Anthony [Texas A& M University; Bhaduri, Budhendra L [ORNL; Naughton, III, Thomas J [ORNL; King, Amy L [ORNL; Scott, Stephen L [ORNL; Guneralp, Inci [Texas A& M University
Hyperspectral Aquatic Radiative Transfer Modeling Using a High-Performance Cluster Computing-Based Approach
Abstract For aquatic studies, radiative transfer (RT) modeling can be used to compute hyperspectral above-surface remote sensing reflectance that can be utilized for inverse model development. Inverse models can provide bathymetry and inherent-and bottom-optical property estimation. Because measured oceanic field/organic datasets are often spatio-temporally sparse, synthetic data generation is useful in yielding sufficiently large datasets for inversion model development; however, these forward-modeled data are computationally expensive and time-consuming to generate. This study establishes the magnitude of wall-clock-time savings achieved for performing large, aquatic RT batch-runs using parallel computing versus a sequential approach. Given 2,600 simulations and identical compute-node characteristics, sequential architecture required ~100 hours until termination, whereas a parallel approach required only ~2.5 hours (42 compute nodes) a 40x speed-up. Tools developed for this parallel execution are discussed.
Filippi, Anthony M [ORNL; Bhaduri, Budhendra L [ORNL; Naughton, III, Thomas J [ORNL; King, Amy L [ORNL; Scott, Stephen L [ORNL; Guneralp, Inci [Texas A& M University
Exploring the relationships between vegetation measurements and temperature in residential areas by integrating LIDAR and remotely sensed imagery
Population growth and urban sprawl have contributed to the formation of significant urban heat island phenomena in Houston, Texas, the fourth largest city in the United States. The population growth in Houston was 25.8% between 1990 and 2000 nearly double the national average. The demand for information concerning the effects of urban and suburban development is growing. Houston is currently the only major US city lacking any kind of comprehensive city zoning ordinances. The Normalized Difference Vegetation Index (NDVI) has been used as a surrogate variable to estimate land surface temperatures at higher spatial resolutions, given the fact that a high-resolution remotely sensed NDVI can be created almost effortlessly and remotely sensed thermal data at higher resolutions is much more difficult to obtain. This has allowed researchers to study urban heat island dynamics at a micro-scale. However, this study suggests that a vegetation index alone might not be the best surrogate variable for providing information regarding the independent effects and level of contribution that tree canopy, grass, and low-lying plants have on surface temperatures in residential neighborhoods. This research combines LIDAR (Light Detection and Ranging) feature height data and high-resolution infrared aerial photos to measure the characteristics of the micro-structure of residential areas (residentialstructure), derives various descriptive vegetation measurement statistics, and correlates the spatial distribution of surface temperature to the type and amount of vegetation cover in residential areas. Regression analysis is used to quantify the independent influence that different residential-structures have on surface temperature. In regard to implementing changes at a neighborhood level, the descriptive statistics derived for residential-structure at a micro-scale may provide useful information to decision-makers and may reveal a guide for future developers concerned with mitigating the negative effects of urban heat island phenomena.
Clemonds, Matthew A
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. GE-22, NO. 3, MAY 1984 David R. Thompson received the B.S., M.S.,
depth from aerial survey markers, and snow covered area from satellite data to estimate the amount survey and conservation operations. In 1975, he served as USDA remote sensing technical advisor.S. degrees from Colorado State University, Fort Collins, CO, in 1961 and 1963 and the Ph.D. degree from
Dozier, Jeff
Effect of Cavities on the Optical Properties of Bullet Rosettes: Implications for Active and Passive Remote Sensing of Ice Cloud Properties
.e., the scattering phase matrix, extinction cross section, and single-scattering albedo) of nonspherical ice the parameterization of the bulk radiative properties of ice clouds, which is a Corresponding author address: Dr. Ping and Passive Remote Sensing of Ice Cloud Properties PING YANG,* ZHIBO ZHANG,* GEORGE W. KATTAWAR, STEPHEN G
Variability in Springtime Thaw in the Terrestrial High Latitudes: Monitoring a Major Control on the Biospheric Assimilation of Atmospheric CO2 with Spaceborne Microwave Remote Sensing
Evidence is presented from the satellite microwave remote sensing record that the timing of seasonal thawing and subsequent initiation of the growing season in early spring has advanced by approximately 8 days from 1988 to 2001 for the pan-Arctic ...
Kyle C. McDonald; John S. Kimball; Eni Njoku; Reiner Zimmermann; Maosheng Zhao
Wald L., 1999. Some terms of reference in data fusion. IEEE Transactions on Geosciences and Remote Sensing, 37, 3, 1190-SOME TERMS OF REFERENCE IN DATA
Wald L., 1999. Some terms of reference in data fusion. IEEE Transactions on Geosciences and Remote Sensing, 37, 3, 1190- 1193. SOME TERMS OF REFERENCE IN DATA FUSION Wald Lucien Abstract--This paper discusses the needs for a concept and harmonized terms of reference in data fusion. Already published
Working Together for Better Student Learning: A Multi-University, Multi-Federal Partner Program for Asynchronous Learning Module Development for Radar-Based Remote Sensing Systems
Students are not exposed to enough real-life data. This paper describes how a community of scholars seeks to remedy this deficiency and gives the pedagogical details of an ongoing project that commenced in the Fall 2004 semester. Fostering deep learning, ... Keywords: Active learning, Internet, educational modules, radar systems, remote sensing, weather environment
M. B. Yeary; T. Yu; R. D. Palmer; H. Monroy; I. Ruin; G. Zhang; P. B. Chilson; M. I. Biggerstaff; C. Weiss; K. A. Mitchell; L. D. Fink
Performance Assessment of a New Stationarity-based Parameter Estimation Method with a Simplified Land Surface Model Using In-situ and Remotely Sensed Surface States
We evaluate the performance of a new stationarity-based method for parameter estimation of a simple coupled water and energy balance model using in-situ and remotely sensed surface soil moisture (from AMSR-E) and surface temperature (from a ...
Jian Sun; Guido D. Salvucci
Electron beam physical vapor deposition of thin ruby films for remote temperature sensing
Thermographic phosphors (TGPs) possessing temperature-dependent photoluminescence properties have a wide range of uses in thermometry due to their remote access and large temperature sensitivity range. However, in most cases, phosphors are synthesized in powder form, which prevents their use in high resolution micro and nanoscale thermal microscopy. In the present study, we investigate the use of electron beam physical vapor deposition to fabricate thin films of chromium-doped aluminum oxide (Cr-Al{sub 2}O{sub 3}, ruby) thermographic phosphors. Although as-deposited films were amorphous and exhibited weak photoluminescence, the films regained the stoichiometry and {alpha}-Al{sub 2}O{sub 3} crystal structure of the combustion synthesized source powder after thermal annealing. As a consequence, the annealed films exhibit both strong photoluminescence and a temperature-dependent lifetime that decreases from 2.9 ms at 298 K to 2.1 ms at 370 K. Ruby films were also deposited on multiple substrates. To ensure a continuous film with smooth surface morphology and strong photoluminescence, we use a sapphire substrate, which is thermal expansion coefficient and lattice matched to the film. These thin ruby films can potentially be used as remote temperature sensors for probing the local temperatures of micro and nanoscale structures.
Li Wei; Coppens, Zachary J.; Greg Walker, D.; Valentine, Jason G. [Department of Mechanical Engineering, Vanderbilt University, Nashville, Tennessee 37212 (United States)
Geobotanical characterization of a geothermal system using hyperspectral imagery: Long Valley Caldera, CA
We have analyzed hyperspectral Airborne Visible-Infrared Imaging System (AVIRIS) imagery taken in September of 1992 in Long Valley Caldera, CA, a geothermally active region expressed surficially by hot springs and fumaroles. Geological and vegetation mapping are attempted through spectral classification of imagery. Particular hot spring areas in the caldera are targeted for analysis. The data is analyzed for unique geobotanical patterns in the vicinity of hot springs as well as gross identification of dominant plant and mineral species. Spectra used for the classifications come from a vegetation spectral library created for plant species found to be associated with geothermal processes. This library takes into account the seasonality of vegetation by including spectra for species on a monthly basis. Geological spectra are taken from JPL and USGS mineral libraries. Preliminary classifications of hot spring areas indicate some success in mineral identification and less successful vegetation species identification. The small spatial extent of individual plants demands either sub-pixel analysis or increased spatial resolution of imagery. Future work will also include preliminary analysis of a hyperspectral thermal imagery dataset and a multitemporal air photo dataset. The combination of these remotely sensed datasets for Long Valley will yield a valuable product for geothermal exploration efforts in other regions.
Carter, M R; Cochran, S A; Martini, B A; Pickles, W L; Potts, D C; Priest, R E; Silver, E A; Wayne, B A; White, W T
Critical Evaluation of the ISCCP Simulator Using Ground-Based Remote Sensing Data
Given the known shortcomings in representing clouds in Global Climate Models (GCM) comparisons with observations are critical. The International Satellite Cloud Climatology Project (ISCCP) diagnostic products provide global descriptions of cloud top pressure and column optical depth that extends over multiple decades. The necessary limitations of the ISCCP retrieval algorithm require that before comparisons can be made between model output and ISCCP results the model output must be modified to simulate what ISCCP would diagnose under the simulated circumstances. We evaluate one component of the so-called ISCCP simulator in this study by comparing ISCCP and a similar algorithm with various long-term statistics derived from the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Climate Research Facility ground-based remote sensors. We find that were a model to simulate the cloud radiative profile with the same accuracy as can be derived from the ARM data, then the likelihood of that occurrence being placed in the same cloud top pressure and optical depth bin as ISCCP of the 9 bins that have become standard ranges from 30% to 70% depending on optical depth. While the ISCCP simulator improved the agreement of cloud-top pressure between ground-based remote sensors and satellite observations, we find minor discrepancies due to the parameterization of cloud top pressure in the ISCCP simulator. The primary source of error seems to be related to discrepancies in visible optical depth that are not accounted for in the ISCCP simulator. We show that the optical depth discrepancies are largest when the assumptions necessary for plane parallel radiative transfer optical depths retrievals are violated.
Mace, G G; Houser, S; Benson, S; Klein, S A; Min, Q
Saturday, auguSt 13, 2011 LittLejohn CoLiSeum
-Doherty Lecturer, terrestrial ecology, hyperspectral remote sensing, bioacoustics Wallace S. Broecker, Newberry
Bolding, M. Chad
Remote sensing of freeze-thaw transitions in Arctic soils using the complex resistivity method
Our ability to monitor freeze - thaw transitions is critical to developing a predictive understanding of biogeochemical transitions and carbon dynamics in high latitude environments. In this study, we conducted laboratory column experiments to explore the potential of the complex resistivity method for monitoring the freeze - thaw transitions of the arctic permafrost soils. Samples for the experiment were collected from the upper active layer of Gelisol soils at the Barrow Environmental Observatory, Barrow Alaska. Freeze - thaw transitions were induced through exposing the soil column to controlled temperature environments at 4 C and -20 C. Complex resistivity and temperature measurements were collected regularly during the freeze - thaw transitions using electrodes and temperature sensors installed along the column. During the experiments, over two orders of magnitude of resistivity variations were observed when the temperature was increased or decreased between -20 C and 0 C. Smaller resistivity variations were also observed during the isothermal thawing or freezing processes that occurred near 0 C. Single frequency electrical phase response and imaginary conductivity at 1 Hz were found to be exclusively related to the unfrozen water in the soil matrix, suggesting that these geophysical 24 attributes can be used as a proxy for the monitoring of the onset and progression of the freeze - thaw transitions. Spectral electrical responses and fitted Cole Cole parameters contained additional information about the freeze - thaw transition affected by the soil grain size distribution. Specifically, a shift of the observed spectral response to lower frequency was observed during isothermal thawing process, which we interpret to be due to sequential thawing, first from fine then to coarse particles within the soil matrix. Our study demonstrates the potential of the complex resistivity method for remote monitoring of freeze - thaw transitions in arctic soils. Although conducted at the laboratory scale, this study provides the foundation for exploring the potential of the complex resistivity signals for monitoring spatiotemporal variations of freeze - thaw transitions over field-relevant scales.
Wu, Yuxin [Lawrence Berkeley National Laboratory (LBNL); Hubbard, Susan S [Lawrence Berkeley National Laboratory (LBNL); Ulrich, Craig [Lawrence Berkeley National Laboratory (LBNL); Wullschleger, Stan D [ORNL
Proceedings of the ninth international symposium on remote sensing of environment, 15--19 April 1974. Volume II. [Earth Resources Technology Satellite
Presentations were given on the utilization of remote sensing technology by regional governmental units and by federal governmental agencies, as well as various applications in monitoring and managing the earth's resources and man's global environment. Ground-based, airborne, and spaceborne sensor systems and manual and machine-assisted data analysis and interpretation are included. Separate entries were made for two papers.
Hyperspectral Mineral Mapping For Geothermal Exploration On The...
possible presence of geothermal activity. So far, remotely-sensed gypsum anomalies have led to the identification of at least two previously unknown groups of warm and hot...
Strategic Environmental Research and Development Project FY 1994: Assessing national remote sensing technologies for use in US Department of Energy Environmental Restoration Activities, Oak Ridge Solid Waste Storage Area 4 case study
During FY 1994, the Oak Ridge Environmental Restoration (ER) Remote Sensing Program teamed with members of the Oak Ridge National Security Program Office (NSPO), the Environmental Research Institute of Michigan (ERIM) under contract to the National Exploitation Laboratory (NEL), the Oak Ridge Waste Area Group 4 (WAG 4) ER Program, and the US Department of Energy (DOE), Offices of Technology Development, Nonproliferation and National Security, and Environmental Restoration, to conduct a test and demonstration of the uses of national remote sensing technologies at DOE hazardous waste sites located in Oak Ridge, Tennessee. Objectives of the Oak Ridge study were to determine if national remote sensing technologies are useful in conducting prescreening, characterization, and/or monitoring activities to expedite the clean-up process at hazardous waste sites and to cut clean-up costs wherever possible. This project was sponsored by the Strategic Environmental Research and Development Project (SERDP).
King, A.L.; Smyre, J.L.; Evers, T.K.
Terrestrial lidar and hyperspectral data fusion products for geological outcrop analysis
Close-range hyperspectral imaging is an emerging technique for remotely mapping mineral content and distributions in inaccessible geological outcrop surfaces, allowing subtle chemical variations to be identified with high resolution and accuracy. Terrestrial ... Keywords: Ground-based, Integration, Surface modelling, Terrestrial laser scanning, Virtual outcrop models, Visualisation
Simon J. Buckley, Tobias H. Kurz, John A. Howell, Danilo Schneider
Pioneering remote sensing in the USSR. 1. Radiation transfer in the optical wavelength region of the electromagnetic spectrum
In this paper a review is presented of the pioneering space research carried out under the leadership of Professor K. Ya. Kondratyev and with his direct participation. Some of his work concerned with radiation transfer in the atmosphere and with remote ...
T. A. Sushkevich
Use of ARM/NSA Data to Validate and Improve the Remote Sensing Retrieval of Cloud and Surface Properties in the Arctic from AVHRR Data
ARM/NSA Data to Validate and Improve the ARM/NSA Data to Validate and Improve the Remote Sensing Retrieval of Cloud and Surface Properties in the Arctic from AVHRR Data X. Xiong QSS Group, Inc. National Oceanic and Atmospheric Administration National Environmental Satellite, Data, and Information Service Office of Research and Applications Camp Springs, Maryland R. Storvold and C. Marty Geophysical Institute University of Alaska Fairbanks, Alaska K. H. Stamnes Stevens Institute of Technology Hoboken, New Jersey B. D. Zak Sandia National Laboratories Albuquerque, New Mexico Introduction Clouds in the Arctic have an important impact on the radiative energy balance. However, the effects of clouds still constitute one of the largest uncertainties in the study of climate change. Because the surface
Integrating Remote Sensing, Field Observations, and Models to Understand Disturbance and Climate Effects on the Carbon Balance of the West Coast U.S., Final Report
As an element of NACP research, the proposed investigation is a two pronged approach that derives and evaluates a regional carbon (C) budget for Oregon, Washington, and California. Objectives are (1) Use multiple data sources, including AmeriFlux data, inventories, and multispectral remote sensing data to investigate trends in carbon storage and exchanges of CO2 and water with variation in climate and disturbance history; (2) Develop and apply regional modeling that relies on these multiple data sources to reduce uncertainty in spatial estimates of carbon storage and NEP, and relative contributions of terrestrial ecosystems and anthropogenic emissions to atmospheric CO2 in the region; (3) Model terrestrial carbon processes across the region, using the Biome-BGC terrestrial ecosystem model, and an atmospheric inverse modeling approach to estimate variation in rate and timing of terrestrial uptake and feedbacks to the atmosphere in response to climate and disturbance.
Beverly E. Law
Synthesis of Remote Sensing and Field Observations to Model and Understand Disturbance and Climate Effects on the Carbon Balance of Oregon & Northern California
The goal is to quantify and explain the carbon (C) budget for Oregon and N. California. The research compares "bottom -up" and "top-down" methods, and develops prototype analytical systems for regional analysis of the carbon balance that are potentially applicable to other continental regions, and that can be used to explore climate, disturbance and land-use effects on the carbon cycle. Objectives are: 1) Improve, test and apply a bottom up approach that synthesizes a spatially nested hierarchy of observations (multispectral remote sensing, inventories, flux and extensive sites), and the Biome-BGC model to quantify the C balance across the region; 2) Improve, test and apply a top down approach for regional and global C flux modeling that uses a model-data fusion scheme (MODIS products, AmeriFlux, atmospheric CO2 concentration network), and a boundary layer model to estimate net ecosystem production (NEP) across the region and partition it among GPP, R(a) and R(h). 3) Provide critical understanding of the controls on regional C balance (how NEP and carbon stocks are influenced by disturbance from fire and management, land use, and interannual climate variation). The key science questions are, "What are the magnitudes and distributions of C sources and sinks on seasonal to decadal time scales, and what processes are controlling their dynamics? What are regional spatial and temporal variations of C sources and sinks? What are the errors and uncertainties in the data products and results (i.e., in situ observations, remote sensing, models)?
Beverly Law; David Turner; Warren Cohen; Mathias Goeckede
Nonlinear Bayesian Algorithms for Gas Plume Detection and Estimation from Hyper-spectral Thermal Image Data
This paper presents a nonlinear Bayesian regression algorithm for the purpose of detecting and estimating gas plume content from hyper-spectral data. Remote sensing data, by its very nature, is collected under less controlled conditions than laboratory data. As a result, the physics-based model that is used to describe the relationship between the observed remotesensing spectra, and the terrestrial (or atmospheric) parameters that we desire to estimate, is typically littered with many unknown "nuisance" parameters (parameters that we are not interested in estimating, but also appear in the model). Bayesian methods are well-suited for this context as they automatically incorporate the uncertainties associated with all nuisance parameters into the error estimates of the parameters of interest. The nonlinear Bayesian regression methodology is illustrated on realistic simulated data from a three-layer model for longwave infrared (LWIR) measurements from a passive instrument. This shows that this approach should permit more accurate estimation as well as a more reasonable description of estimate uncertainty.
Heasler, Patrick G.; Posse, Christian; Hylden, Jeff L.; Anderson, Kevin K.
Bulk Scattering Properties for the Remote Sensing of Ice Clouds. Part III: High-Resolution Spectral Models from 100 to 3250 cm?1
This study reports on the development of bulk single-scattering models for ice clouds that are appropriate for use in hyperspectral radiative transfer cloud modeling over the spectral range from 100 to 3250 cm?1. The models are developed in a ...
Bryan A. Baum; Ping Yang; Shaima Nasiri; Andrew K. Heidinger; Andrew Heymsfield; Jun Li
Hyperspectral Imaging At Fish Lake Valley Area (Littlefield ...
Hyperspectral Imaging At Fish Lake Valley Area (Littlefield & Calvin, 2010) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Hyperspectral Imaging...
Integration of Hyperspectral Data for Rangeland Characterization
Grazing lands in the United States consist of approximately 312 million hectares of federal, state, and private land. A recent review by the National Research Council indicates a need to collect comprehensive, consistent, and uniform data to evaluate rangeland health. The Pacific Northwest National Laboratory (PNNL) is assisting the U.S. Bureau of Land Management, and working cooperatively with the U.S. Forest Service, and the U.S. Natural Resource Conservation Service to address these data needs using new remote sensing methods designed to characterize large areas quickly and at minimal cost. Anticipated application for new remote sensing protocols range from conducting national assessments of the ecological condition of rangelands to monitoring change in condition of individual grazing allotments.
Petrie, Gregg M.; Cullinan, Valerie I.; Cadwell, Larry L.; Downs, Janelle L.; Perry, Eileen M.; Turner, Jim
A novel approach for measuring hyperspectral similarity
Hyperspectral measures are used to capture the degree of similarity between two spectra. Spectral angle mapper (SAM) is an example of such measures. SAM similarity values range from 0 to 1. These values do not indicate whether the two spectra are similar ... Keywords: Adaptive similarity threshold, Hyperspectral measures, Support vector machine
Abdulrahman Galal; Hesham Hassan; Ibrahim F. Imam
Unattended Radiation Sensor Systems for Remote Terrestrial Applications and Nuclear Nonproliferation
The design of instrumentation for remote sensing presents special requirements in the areas of power consumption
Lodewijk van den Berg; Alan E. Proctor; Ken R. Pohl; Alex Bolozdynya; Raymond De Vito
Remote Sensing of Cloud Parameters
Day and night mapping of the global distributions of the horizontal cloud covers and the corresponding cloud-top pressure levels are derived from the same set of infrared radiance data used to retrieve clear-column temperature profiles. General ...
Moustafa T. Chahine
Definition: Hyperspectral Imaging | Open Energy Information
Imaging Imaging Jump to: navigation, search Dictionary.png Hyperspectral Imaging Hyperspectral sensors collect data across a wide range of the spectrum (VNIR-LWIR, plus TIR) at small spectral resolution (5-15 nm) and high spatial resolution (1-5 m). This allows detailed spectral signatures to be identified for different imaged materials - for example hyperspectral imaging can be used to identify specific clay minerals; multispectral imaging can identify only the presence of clay minerals in general. View on Wikipedia Wikipedia Definition Hyperspectral imaging, like other spectral imaging, collects and processes information from across the electromagnetic spectrum. Much as the human eye sees visible light in three bands (red, green, and blue), spectral imaging divides the spectrum into many more bands. This technique
Hyperspectral detection algorithms: Use covariances or subspaces?
There are two broad classes of hyperspectral detection algorithms.1, 2 Algorithms in the first class use the spectral covariance matrix of the background clutter; in contrast, algorithms in the second class characterize ...
Manolakis, Dimitris G.
Hyperspectral image analysis for precision viticulture
We analyze the capabilities of CASI data for the discrimination of vine varieties in hyperspectral images. To analyze the discrimination capabilities of the CASI data, principal components analysis and linear discriminant analysis methods are used. We ...
M. Ferreiro-Arm�n; J. -P. Da Costa; S. Homayouni; J. Mart�n-Herrero
Modeling Electromagnetic Reflectivity of Agbabu Oil Sand from Hyperspectral Infrared Reflectance Spectra and Dielectric Properties at L-, C- and X-Band Frequencies
In this paper remote identification of oil sand reservoirs from synthetic aperture radar (SAR) is enhanced by accurate modeling of the electromagnetic (EM) reflectivity of Agbabu oil sands. This is demonstrated using a novel combination of hyperspectral ... Keywords: EM Reflectivity, Computer Simulation, Agbabu Oil Sand, Dielectric property, Petroleum Exploration
Maurice Ezeoke, Kenneth Tong
A multiresolution spectral angle-based hyperspectral classification method
Due to the lack of training samples, hyperspectral classification often adopts the minimum distance classification method based on spectral metrics. This paper proposes a novel multiresolution spectral-angle-based hyperspectral classification method, ...
Jin Chen; Runsheng Wang; Cheng Wang
Ground-Based Remote Sensing of Cloud Particle Sizes during the 26 November 1991 FIRE II Cirrus Case: Comparisons with In Situ Data
The paper presents the results of retrieving characteristic particle sizes for the November 26 1991 FIRE II case using two methods that utilize ground-based remotes sensors. The size information for the complete vertical depth of the cloud was ...
S. Y. Matrosov; A. J. Heymsfield; J. M. Intrieri; B. W. Orr; J. B. Snider
A lattice matrix method for hyperspectral image unmixing
In this manuscript we propose a method for the autonomous determination of endmembers in hyperspectral imagery based on recent theoretical advancements on lattice auto-associative memories. Given a hyperspectral image, the lattice algebra approach finds ... Keywords: Abundance maps, Hyperspectral image analysis: endmember search, Lattice algebra: affine independence, Lattice associative memories, Lattice independence, Lattice matrices, Neural networks: Associative memories, Spectral unmixing
Gerhard X. Ritter; Gonzalo Urcid
Investigating impacts of natural and human-induced environmental changes on hydrological processes and flood hazards using a GIS-based hydrological/hydraulic model and remote sensing data
Natural and human-induced environmental changes have been altering the earth's surface and hydrological processes, and thus directly contribute to the severity of flood hazards. To understand these changes and their impacts, this research developed a GISbased hydrological and hydraulic modeling system, which incorporates state-of-the-art remote sensing data to simulate flood under various scenarios. The conceptual framework and technical issues of incorporating multi-scale remote sensing data have been addressed. This research develops an object-oriented hydrological modeling framework. Compared with traditional lumped or cell-based distributed hydrological modeling frameworks, the object-oriented framework allows basic spatial hydrologic units to have various size and irregular shape. This framework is capable of assimilating various GIS and remotely-sensed data with different spatial resolutions. It ensures the computational efficiency, while preserving sufficient spatial details of input data and model outputs. Sensitivity analysis and comparison of high resolution LIDAR DEM with traditional USGS 30m resolution DEM suggests that the use of LIDAR DEMs can greatly reduce uncertainty in calibration of flow parameters in the hydrologic model and hence increase the reliability of modeling results. In addition, subtle topographic features and hydrologic objects like surface depressions and detention basins can be extracted from the high resolution LiDAR DEMs. An innovative algorithm has been developed to efficiently delineate surface depressions and detention basins from LiDAR DEMs. Using a time series of Landsat images, a retrospective analysis of surface imperviousness has been conducted to assess the hydrologic impact of urbanization. The analysis reveals that with rapid urbanization the impervious surface has been increased from 10.1% to 38.4% for the case study area during 1974 - 2002. As a result, the peak flow for a 100-year flood event has increased by 20% and the floodplain extent has expanded by about 21.6%. The quantitative analysis suggests that the large regional detentions basins have effectively offset the adverse effect of increased impervious surface during the urbanization process. Based on the simulation and scenario analyses of land subsidence and potential climate changes, some planning measures and policy implications have been derived for guiding smart urban growth and sustainable resource development and management to minimize flood hazards.
Wang, Lei
A Compressive Sensing and Unmixing Scheme for Hyperspectral Data Processing
selected 4 endmembers from the ASTER Spectral Library [30]: nontronite, ferroaxinite, trona with stand derivation 0.8 to the observation matrix F. Nontronite Ferroaxinite Trona Molybdenite Fig. 1
Zhang, Yin
Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification
In this article, two learning classifier systems based on evolutionary techniques are described to classify remote sensing images. Usually, these images contain voluminous, complex, and sometimes erroneous and noisy data. The first approach implements ...
Arnaud Quirin; Jerzy Korczak; Martin V. Butz; David E. Goldberg
Hyperspectral mineral mapping in support of geothermal exploration...
2004 DOI Not Provided Check for DOI availability: http:crossref.org Online Internet link for Hyperspectral mineral mapping in support of geothermal exploration- Examples...
Visual enhancement of old documents with hyperspectral imaging
Hyperspectral imaging (HSI) of historical documents is becoming more common at national libraries and archives. HSI is useful for many tasks related to document conservation and management as it provides detailed quantitative measurements of the spectral ... Keywords: Document processing and analysis, Hyperspectral imaging, Image fusion
Seon Joo Kim; Fanbo Deng; Michael S. Brown
Remote Sensing D/H Ratios in Methane Ice: Temperature-Dependent Absorption Coefficients of CH3D in Methane Ice and in Nitrogen Ice
The existence of strong absorption bands of singly deuterated methane (CH3D) at wavelengths where normal methane (CH4) absorbs comparatively weakly could enable remote measurement of D/H ratios in methane ice on outer solar system bodies. We performed laboratory transmission spectroscopy experiments, recording spectra at wavelengths from 1 to 6 \\mum to study CH3D bands at 2.47, 2.87, and 4.56 \\mum, wavelengths where ordinary methane absorption is weak. We report temperature-dependent absorption coefficients of these bands when the CH3D is diluted in CH4 ice and also when it is dissolved in N2 ice, and describe how these absorption coefficients can be combined with data from the literature to simulate arbitrary D/H ratio absorption coefficients for CH4 ice and for CH4 in N2 ice. We anticipate these results motivating new telescopic observations to measure D/H ratios in CH4 ice on Triton, Pluto, Eris, and Makemake.
Grundy, W M; Bovyn, M J; Tegler, S C; Cornelison, D M
With the aid of a DOE grant (No. DE-FC26-01NT41050), Stolar Research Corporation (Stolar) developed the Horizon Sensor (HS) to distinguish between the different layers of a coal seam. Mounted on mining machine cutter drums, HS units can detect or sense the horizon between the coal seam and the roof and floor rock, providing the opportunity to accurately mine the section of the seam most desired. HS also enables accurate cutting of minimum height if that is the operator's objective. Often when cutting is done out-of-seam, the head-positioning function facilitates a fixed mining height to minimize dilution. With this technology, miners can still be at a remote location, yet cut only the clean coal, resulting in a much more efficient overall process. The objectives of this project were to demonstrate the feasibility of horizon sensing on mining machines and demonstrate that Horizon Sensing can allow coal to be cut cleaner and more efficiently. Stolar's primary goal was to develop the Horizon Sensor (HS) into an enabling technology for full or partial automation or ''agile mining''. This technical innovation (R&D 100 Award Winner) is quickly demonstrating improvements in productivity and miner safety at several prominent coal mines in the United States. In addition, the HS system can enable the cutting of cleaner coal. Stolar has driven the HS program on the philosophy that cutting cleaner coal means burning cleaner coal. The sensor, located inches from the cutting bits, is based upon the physics principles of a Resonant Microstrip Patch Antenna (RMPA). When it is in proximity of the rock-coal interface, the RMPA impedance varies depending on the thickness of uncut coal. The impedance is measured by the computer-controlled electronics and then sent by radio waves to the mining machine. The worker at the machine can read the data via a Graphical User Interface, displaying a color-coded image of the coal being cut, and direct the machine appropriately. The Horizon Sensor program began development in 1998 and experienced three major design phases. The final version, termed HS-3, was commissioned in 2000 with the assistance of the DOE-Mining Industry of the Future program, commercialized in 2002, and has been used 14 times in 12 different mines within the United States. The Horizon Sensor has applications in both underground and surface mining operations. This technology is primarily used in the coal industry, but is also used to mine trona and potash. All horizon sensor components have Mine Safety and Health Administration (MSHA) (United States) and IEC (International) certification. Horizon Sensing saves energy by maximizing cutting efficiency, cutting only desired material. This desired material is cleaner fuel, therefore reducing pollutants to the atmosphere when burned and burning more efficiently. Extracting only desired material increases productivity by reducing or eliminating the cleaning step after extraction. Additionally, this technology allows for deeper mining, resulting in more material gained from one location. The remote sensing tool allows workers to operate the machinery away from the hazards of cutting coal, including noise, breathing dust and gases, and coal and rock splintering and outbursts. The HS program has primarily revolved around the development of the technology. However, the end goal of the program has always been the commercialization of the technology and only within the last 2 years of the program has this goal been realized. Real-time horizon sensing on mining machines is becoming an industry tool. Detailed monitoring of system function, user experience, and mining benefits is ongoing.
Larry G. Stolarczyk
Remote radiation dosimetry
Disclosed are methods and apparatus for remotely measuring radiation levels. Such are particularly useful for measuring relatively high levels or dosages of radiation being administered in radiation therapy. They are also useful for more general radiation level measurements where remote sensing from the remaining portions of the apparatus is desirable. The apparatus uses a beam generator, such as a laser beam, to provide a stimulating beam. The stimulating beam is preferably of wavelengths shorter than 6 microns, or more advantageously less than 2 microns. The stimulating beam is used to stimulate a remote luminescent sensor mounted in a probe which emits stored luminescent energy resulting from exposure of the sensor to ionizing radiation. The stimulating beam is communicated to the remote luminescent sensor via transmissive fiber which also preferably serves to return the emission from the luminescent sensor. The stimulating beam is advantageously split by a beam splitter to create a detector beam which is measured for power during a reading period during which the luminescent phosphor is read. The detected power is preferably used to control the beam generator to thus produce desired beam power during the reading period. The luminescent emission from the remote sensor is communicated to a suitable emission detector, preferably after filtering or other selective treatment to better isolate the luminescent emission.
Braunlich, Peter F. (Pullman, WA); Tetzlaff, Wolfgang (Pullman, WA); Hegland, Joel E. (Pullman, WA); Jones, Scott C. (Pullman, WA)
Disclosed are methods and apparatus for remotely measuring radiation levels. Such are particularly useful for measuring relatively high levels or dosages of radiation being administered in radiation therapy. They are also useful for more general radiation level measurements where remote sensing from the remaining portions of the apparatus is desirable. The apparatus uses a beam generator, such as a laser beam, to provide a stimulating beam. The stimulating beam is preferably of wavelengths shorter than 6 microns, or more advantageously less than 2 microns. The stimulating beam is used to stimulate a remote luminescent sensor mounted in a probe which emits stored luminescent energy resulting from exposure of the sensor to ionizing radiation. The stimulating beam is communicated to the remote luminescent sensor via a transmissive fiber which also preferably serves to return the emission from the luminescent sensor. The stimulating beam is advantageously split by a beam splitter to create a detector beam which is measured for power during a reading period during which the luminescent phosphor is read. The detected power is preferably used to control the beam generator to thus produce desired beam power during the reading period. The luminescent emission from the remote sensor is communicated to a suitable emission detector, preferably after filtering or other selective treatment to better isolate the luminescent emission. 8 figures.
Braunlich, P.F.; Tetzlaff, W.; Hegland, J.E.; Jones, S.C.
Vegetation Cover Analysis of Hazardous Waste Sites in Utah and...
Vegetation Cover Analysis of Hazardous Waste Sites in Utah and Arizona Using Hyperspectral Remote Sensing Vegetation Cover Analysis of Hazardous Waste Sites in Utah and Arizona...
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& Publications Inspection Report: IG-0790 Vegetation Cover Analysis of Hazardous Waste Sites in Utah and Arizona Using Hyperspectral Remote Sensing OPAM Policy Acquisition Guides...
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Cover Analysis of Hazardous Waste Sites in Utah and Arizona Using Hyperspectral Remote Sensing January 17, 2012Jungho Im, John R. Jensen, Ryan R. Jensen, John Gladden,...
Measurement and Modeling of Solar and PV Output Variability:...
Cover Analysis of Hazardous Waste Sites in Utah and Arizona Using Hyperspectral Remote Sensing 2012 Reliability & Markets Peer Review - Full Presentations USVI Energy...
Remote medicine
The international oil industry, catalyzed by a surge in exploration and production projects in remote regions, is giving health care for its travelers and expatriates a high priority. L.R. Aalund, the Journal`s Managing Editor--Technology, reports on why and how this is happening now. He covers this in articles on: health care in Russia, air ambulance evacuations, and the deployment of remote paramedics. Aalund gathered the information during trips to Finland and Russia and interviews with oil industry personnel, physicians, and other medical professionals in North America, Europe, and Siberia. Titles of the four topics presented in this special section on remote medicine are as follows: Oil companies focus on emergency care for expats in Russia; Air ambulance plan can be critical; Remote paramedics have high level of training; and Other facets of remote medicine.
Hydrothermal alteration mineral mapping using hyperspectral imagery in
alteration mineral mapping using hyperspectral imagery in alteration mineral mapping using hyperspectral imagery in Dixie Valley, Nevada Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Hydrothermal alteration mineral mapping using hyperspectral imagery in Dixie Valley, Nevada Abstract Hyperspectral (HyMap) data was used to map the location ofoutcrops of high temperature, hydrothermally alterated minerals(including alunite, pyrophyllite, and hematite) along a 15 kmswath of the eastern front of the Stillwater Mountain Range inDixie Valley, Nevada. Analysis of this data set reveals that severaloutcrops of these altered minerals exist in the area, and thatone outcrop, roughly 1 square kilometer in area, shows abundanthigh temperature alteration. Structural analysis of the alteredregion using a
Hyperspectral Mineral Mapping For Geothermal Exploration On The Pyramid
Hyperspectral Mineral Mapping For Geothermal Exploration On The Pyramid Hyperspectral Mineral Mapping For Geothermal Exploration On The Pyramid Lake Paiute Reservation, Nevada Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: Hyperspectral Mineral Mapping For Geothermal Exploration On The Pyramid Lake Paiute Reservation, Nevada Details Activities (2) Areas (1) Regions (0) Abstract: Over 2000 km2 (772 mi2) of 5 m resolution Hymap hyperspectral data was acquired over the Pyramid Lake Paiute Reservation in the Fall of 2004. Subsequent image processing and data analysis has identified reflectance spectra for alunite, kaolinite/halloysite, illite, gypsum, vegetation, and carbonate. A portable spectrometer is being used for in situ validation, along with laboratory measurements and X-ray diffraction analyses of samples collected in the field. We are in the process of
Hyperspectral Imaging At Dixie Valley Geothermal Field Area (Laney, 2005) |
Imaging At Dixie Valley Geothermal Field Area (Laney, 2005) Imaging At Dixie Valley Geothermal Field Area (Laney, 2005) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Hyperspectral Imaging At Dixie Valley Geothermal Field Area (Laney, 2005) Exploration Activity Details Location Dixie Valley Geothermal Field Area Exploration Technique Hyperspectral Imaging Activity Date Spectral Imaging Sensor AVIRIS Usefulness useful DOE-funding Unknown Notes Geology and Geophysics of Geothermal Systems, Gregory Nash, 2005. Hyperspectral data was also used to successfully map soil-mineral anomalies that are structurally related in Dixie Valley, Nevada. In the area of the power plant, 20 m spatial resolution AVIRIS data were used. For Dixie Meadows, Nevada, 3 m spatial resolution HyVista HyMap hyperspectral data
Unsupervised hyperspectral image analysis using independent component analysis (ICA)
In this paper, an ICA-based approach is proposed for hyperspectral image analysis. It can be viewed as a random version of the commonly used linear spectral mixture analysis, in which the abundance fractions in a linear mixture model are considered to be unknown independent signal sources. It does not require the full rank of the separating matrix or orthogonality as most ICA methods do. More importantly, the learning algorithm is designed based on the independency of the material abundance vector rather than the independency of the separating matrix generally used to constrain the standard ICA. As a result, the designed learning algorithm is able to converge to non-orthogonal independent components. This is particularly useful in hyperspectral image analysis since many materials extracted from a hyperspectral image may have similar spectral signatures and may not be orthogonal. The AVIRIS experiments have demonstrated that the proposed ICA provides an effective unsupervised technique for hyperspectral image classification.
S. S. Chiang; I. W. Ginsberg
Classification of high dimensional and imbalanced hyperspectral imagery data
The present paper addresses the problem of the classification of hyperspectral images with multiple imbalanced classes and very high dimensionality. Class imbalance is handled by resampling the data set, whereas PCA is applied to reduce the number of ...
Vicente Garc�a; J. Salvador S�nchez; Ram�n A. Mollineda
Load sensing system
A load sensing system inexpensively monitors the weight and temperature of stored nuclear material for long periods of time in widely variable environments. The system can include an electrostatic load cell that encodes weight and temperature into a digital signal which is sent to a remote monitor via a coaxial cable. The same cable is used to supply the load cell with power. When multiple load cells are used, vast
Sohns, Carl W. (Oak Ridge, TN); Nodine, Robert N. (Knoxville, TN); Wallace, Steven Allen (Knoxville, TN)
Polarimetric Remote Sensing of Aerosols over Land
The sensitivity of accurate polarized reflectance measurements over a broad spectral (410 -2250 nm) and angular (�60� from nadir) range to the presence of aerosols over land is analyzed and the consequent ability to retrieve the aerosol burden and microphysical model is assessed. Here we present a new approach to the correction of polarization observations for the effects of the surface that uses longer wavelength observations to provide a direct estimate of the surface polarized reflectance. This approach to surface modeling is incorporated into an optimal estimation framework for retrieving the particle number density and a detailed aerosol microphysical model: effective radius, effective variance and complex refractive index of aerosols. A sensitivity analysis shows that the uncertainties in aerosol optical thickness (AOT) increase with AOT while the uncertainties in the microphysical model decrease. Of particular note is that the uncertainty in the single scattering albedo is less than 0.05 by the time the AOT is greater than 0.2. We also find that calibration is the major source of uncertainty and that perfect angular and spectral correlation of calibration errors reduces the uncertainties in retrieved quantities compared with the case of uncorrelated errors. Finally, in terms of required spectral range, we observe that shorter wavelength (aerosols from polarized reflectance observations. The optimal estimation scheme is then tested on observations made by the Research Scanning Polarimeter during the Aerosol Lidar Validation experiment and over Southern California wild fires. These two sets of observations test the retrieval scheme under pristine and polluted conditions respectively. In both cases we find that the retrievals are within the combined uncertainties of the retrieval and the Aerosol Robotic Network Cimel products and Total Ozone Mapping Spectrometer Aerosol Index that we are comparing to. This confirms the validity of the sensitivity analysis of the polarized reflectance observations to the aerosol number density and microphysical model and demonstrates the unique capability to accurately retrieve aerosol optical depths under pristine conditions and also the single scattering albedo of aerosols at higher optical depths.
Waquet, F.; Cairns, Brian; Knobelspiesse, Kirk D.; Chowdhary, J.; Travis, Larry D.; Schmid, Beat; Mishchenko, M.
Remote Sensing of Aerosol Properties during CARES
One month of MFRSR data collected at two sites in the central California (USA) region during the CARES campaign are processed and the MFRSR-derived AODs at 500 nm wavelength are compared with available AODs provided by AERONET measurements. We find that the MFRSR and AERONET AODs are small ({approx}0.05) and comparable. A reasonable quantitative agreement between column aerosol size distributions (up to 2 um) from the MFRSR and AERONET retrievals is illustrated as well. Analysis of the retrieved (MFRSR and AERONET) and in situ measured aerosol size distributions suggests that the contribution of the coarse mode to aerosol optical properties is substantial for several days. The results of a radiative closure experiment performed for the two sites and one-month period show a favorable agreement between the calculated and measured broadband downwelling irradiances (bias does not exceed about 3 Wm-2), and thus imply that the MFRSR-derived aerosol optical properties are reasonable.
Kassianov, Evgueni I.; Barnard, James C.; Pekour, Mikhail S.; Flynn, Connor J.; Ferrare, R.; Hostetler, Chris A.; Hair, John; Jobson, Bertram Thomas
Inverse problems in remote sensing. Progress report
Research was conducted to improve on presently used techniques for mapping soundspeed variations in the earth by monitoring the return from seismic probes. For small variations in the propagation speed, a linear integral equation was derived for that soundspeed variation. The integral equation is sufficiently general to characterize the placement of sources and receivers. The integral equation was solved in closed form for most of the source-receiver configurations of practical interest. The problem of dealing with the imperfect and incomplete data obtained in the real world was also confronted. The realistically constrained solution was implemented on the computer for a source-receiver configuration commonly used in seismic profiling. This latter project has dominated much of the research effort over the recent contract period.
Bleistein, N.
Aerosol Retrieval Using Remote-sensed Observations
electromagnetic solar radiation. The amount of atmosphericas the amount of solar radiation that aerosols scatter andbased on reflected solar radiation field measurements
Wang, Yueqing
Radar remote sensing of the lower atmosphere
on the observed radar clutter power. Marine ducts and theiron observed radar clutter power. Marine ducts and their
Karimian, Ali
Satellite Remote Sensing of Multiple Cloud Layers
The goals of the current study are threefold: 1) to present a multispectral, multiresolution (MSMR) methodology for analysis of scenes containing multiple cloud layers; 2) to apply the MSMR method to two multilevel cloud scenes recorded by the ...
B.A. Baum; T. Uttal; M. Poellot; T.P. Ackerman; J.M. Alvarez; J. Intrieri; D.O'C. Starr; J. Titlow; V. Tovinkere; E. Clothiaux
VLF remote sensing of the auroral electrojet
The authors present data taken to test the use of phase and amplitude variations in ground based VLF wave propogation measurements as a means of determining the location of the auroral electrojet. High-energy (> 300 keV) precipitating electrons at the edge of the electrojet can induce phase and amplitude variations in VLF waves propogating through that region of the atmosphere. The authors present measurements made in conjunction with conventional magnetometer measurements as a way to validate this technique. Satellite measurements of field-aligned currents were available for one night of observations.
Cummer, S.A.; Bell, T.F.; Inan, U.S. [Stanford Univ., Stanford, CA (United States)] Zanetti, L.J. [Johns Hopkins Univ., Laurel, MD (United States)
Modeling grassland productivity through remote sensing products .
??Mixed grasslands in south Canada serve a variety of economic, environmental and ecological purposes. Numerical modeling has become a major method used to identify potential� (more)
He, Yuhong
NASA Remote Sensing Validation Data: Saudi Arabia
DOE Data Explorer (OSTI)
Since 1995, the King Abdulaziz City for Science and Technology (KACST) and the National Renewable Energy Laboratory (NREL) have co-operated to establish a 12 station network of high quality solar radiation monitoring installations across the Kingdom of Saudi Arabia. NREL and KACST realized the value of accurate surface solar radiation flux measurements for validation of satellite derived surface and atmospheric solar radiation flux measurements, and is making this data available to support validation of satellite data products related to the NASA Mission to Planet Earth component of the Earth Science Enterprise Earth Observing System (EOS) project to evaluate long term climate trends based on measuements from EOS Terra Platforms. A CIMEL 8 channel sunphotometer for measuring aerosol optical depth at 6 wavelengths and total column water has been deployed at the Solar Village station since February 24, 1999. [Taken from http://rredc.nrel.gov/solar/new_data/Saudi_Arabia/
Myers, Daryl R. (NREL); Al-Abbadi,Naif (King Abdulaziz City for Science and Technology, Energy Research Institite); Wilcox, Steve (NREL)
Remote Sensing of Tropospheric Pollution from Space
We review the progress of tropospheric trace gas observations and address the need for additional measurement capabilities as recommended by the National Research Council. Tropospheric measurements show pollution in the Northern Hemisphere as a ...
Jack Fishman; Jassim A. Al-Saadi; John K. Creilson; Kevin W. Bowman; John P. Burrows; Andreas Richter; Kelly V. Chance; David P. Edwards; Randall V. Martin; Gary A. Morris; R. Bradley Pierce; Jerald R. Ziemke; Todd K. Schaack; Anne M. Thompson
Lidar remote sensing of pesticide spray drift.
??En aquesta tesi doctoral es proposa utilitzar la t�cnica LIDAR (Light Detection And Ranging) per estudiar la deriva de pesticides. A difer�ncia dels col�lectors in� (more)
Gregorio L�pez, Eduard
The growth of the livestock industry provides a valuable source of affordable, sustainable, and renewable bioenergy, while also requiring the safe disposal of the large quantities of animal wastes (manure) generated at dairy, swine, and poultry farms. If these biomass resources are mishandled and underutilized, major environmental problems will be created, such as surface and ground water contamination, odors, dust, ammonia leaching, and methane emission. Anaerobic digestion of animal wastes, in which microorganisms break down organic materials in the absence of oxygen, is one of the most promising waste treatment technologies. This process produces biogas typically containing {approx}65% methane and {approx}35% carbon dioxide. The production of biogas through anaerobic digestion from animal wastes, landfills, and municipal waste water treatment plants represents a large source of renewable and sustainable bio-fuel. Such bio-fuel can be combusted directly, used in internal combustion engines, converted into methanol, or partially oxidized to produce synthesis gas (a mixture of hydrogen and carbon monoxide) that can be converted to clean liquid fuels and chemicals via Fischer-Tropsch synthesis. Different design and mixing configurations of anaerobic digesters for treating cow manure have been utilized commercially and/or tested on a laboratory scale. These digesters include mechanically mixed, gas recirculation mixed, and slurry recirculation mixed designs, as well as covered lagoon digesters. Mixing is an important parameter for successful performance of anaerobic digesters. It enhances substrate contact with the microbial community; improves pH, temperature and substrate/microorganism uniformity; prevents stratification and scum accumulation; facilitates the removal of biogas from the digester; reduces or eliminates the formation of inactive zones (dead zones); prevents settling of biomass and inert solids; and aids in particle size reduction. Unfortunately, information and findings in the literature on the effect of mixing on anaerobic digestion are contradictory. One reason is the lack of measurement techniques for opaque systems such as digesters. Better understanding of the mixing and hydrodynamics of digesters will result in appropriate design, configuration selection, scale-up, and performance, which will ultimately enable avoiding digester failures. Accordingly, this project sought to advance the fundamental knowledge and understanding of the design, scale up, operation, and performance of cow manure anaerobic digesters with high solids loading. The project systematically studied parameters affecting cow manure anaerobic digestion performance, in different configurations and sizes by implementing computer automated radioactive particle tracking (CARPT), computed tomography (CT), and computational fluid dynamics (CFD), and by developing novel multiple-particle CARPT (MP-CARPT) and dual source CT (DSCT) techniques. The accomplishments of the project were achieved in a collaborative effort among Washington University, the Oak Ridge National Laboratory, and the Iowa Energy Center teams. The following investigations and achievements were accomplished: Systematic studies of anaerobic digesters performance and kinetics using various configurations, modes of mixing, and scales (laboratory, pilot plant, and commercial sizes) were conducted and are discussed in Chapter 2. It was found that mixing significantly affected the performance of the pilot plant scale digester ({approx}97 liter). The detailed mixing and hydrodynamics were investigated using computer automated radioactive particle tracking (CARPT) techniques, and are discussed in Chapter 3. A novel multiple particle tracking technique (MP-CARPT) technique that can track simultaneously up to 8 particles was developed, tested, validated, and implemented. Phase distribution was investigated using gamma ray computer tomography (CT) techniques, which are discussed in Chapter 4. A novel dual source CT (DSCT) technique was developed to measure the phase distribution of dyn
Washington University- St. Louis: Muthanna Al-Dahhan (Principal Investigator)
Multiple Remote Sensor Observations of Supercooled Liquid Water in a Winter Storm at Beaver, Utah
The temporal and spatial distribution of cloud liquid water in a winter storm from the 1983 Utah/NOAA Cooperative Weather Modification Program is characterized using remote sensing observations. The remote sensors, located at a mountain-base site ...
Kenneth Sassen; Robert M. Rauber; J. B. Snider
QUANTIFYING FOREST ABOVEGROUND CARBON POOLS AND FLUXES USING MULTI-TEMPORAL LIDAR A report on field monitoring, remote sensing MMV, GIS integration, and modeling results for forestry field validation test to quantify aboveground tree biomass and carbon
Sound policy recommendations relating to the role of forest management in mitigating atmospheric carbon dioxide (CO{sub 2}) depend upon establishing accurate methodologies for quantifying forest carbon pools for large tracts of land that can be dynamically updated over time. Light Detection and Ranging (LiDAR) remote sensing is a promising technology for achieving accurate estimates of aboveground biomass and thereby carbon pools; however, not much is known about the accuracy of estimating biomass change and carbon flux from repeat LiDAR acquisitions containing different data sampling characteristics. In this study, discrete return airborne LiDAR data was collected in 2003 and 2009 across {approx}20,000 hectares (ha) of an actively managed, mixed conifer forest landscape in northern Idaho, USA. Forest inventory plots, established via a random stratified sampling design, were established and sampled in 2003 and 2009. The Random Forest machine learning algorithm was used to establish statistical relationships between inventory data and forest structural metrics derived from the LiDAR acquisitions. Aboveground biomass maps were created for the study area based on statistical relationships developed at the plot level. Over this 6-year period, we found that the mean increase in biomass due to forest growth across the non-harvested portions of the study area was 4.8 metric ton/hectare (Mg/ha). In these non-harvested areas, we found a significant difference in biomass increase among forest successional stages, with a higher biomass increase in mature and old forest compared to stand initiation and young forest. Approximately 20% of the landscape had been disturbed by harvest activities during the six-year time period, representing a biomass loss of >70 Mg/ha in these areas. During the study period, these harvest activities outweighed growth at the landscape scale, resulting in an overall loss in aboveground carbon at this site. The 30-fold increase in sampling density between the 2003 and 2009 did not affect the biomass estimates. Overall, LiDAR data coupled with field reference data offer a powerful method for calculating pools and changes in aboveground carbon in forested systems. The results of our study suggest that multitemporal LiDAR-based approaches are likely to be useful for high quality estimates of aboveground carbon change in conifer forest systems.
Lee Spangler; Lee A. Vierling; Eva K. Stand; Andrew T. Hudak; Jan U.H. Eitel; Sebastian Martinuzzi
The hyperspectral irradiometer, a new instrument for long-term and unattended field spectroscopy measurements
Reliable time series of vegetation optical properties are needed to improve the modeling of the terrestrial carbon budget with remote sensing data. This paper describes the development of an automatic spectral system able to collect continuous long-term in-field spectral measurements of spectral down-welling and surface reflected irradiance. The paper addresses the development of the system
M. Meroni; A. Barducci; S. Cogliati; F. Castagnoli; M. Rossini; L. Busetto; M. Migliavacca; E. Cremonese; M. Galvagno; R. Colombo; U. Morra di Cella
The REMOTE SENSlNf
Office of Legacy Management (LM)
REMOTE REMOTE SENSlNf ' . 1 ARllRllRRv OF THE UNITED STATES DEPARTMENT OF ENERGY . . . . .a. * ~~&hrEAWWMms Gap ~~&hrEAwwMms Gap ECT FOLLdW-UP REPORT ECT FOLLdW-UP REPORT NOVEMBER 1979 NOVEMBER 1979 AN AERIAL RADIOLOGICAL SURVEY OF THE CURTIS BAY FACILITY OF THE W. FL GRACE COMPANY Baltimore, Maryland t. Kent Hilton Project Scientist APPROVED FORPUBLlCATlON ' : T. P. Stuart, Manager Remote Sensing Sciences Department ATTACHMENT 4- ECT Follow-Up Report AN AERIAL RADIOLOGICAL SURVEY OF THE CURTIS BAY FACILITY This is the second of two reports discussing the gamma ray radiation levels measured at the Curtis Bay facility of the W. R. Grace Company. The first report presented gross count contours and gamma ray spectra over the most active areas. Refined gross count isopleth maps will be
Unmixing hyperspectral images using Markov random fields
This paper proposes a new spectral unmixing strategy based on the normal compositional model that exploits the spatial correlations between the image pixels. The pure materials (referred to as endmembers) contained in the image are assumed to be available (they can be obtained by using an appropriate endmember extraction algorithm), while the corresponding fractions (referred to as abundances) are estimated by the proposed algorithm. Due to physical constraints, the abundances have to satisfy positivity and sum-to-one constraints. The image is divided into homogeneous distinct regions having the same statistical properties for the abundance coefficients. The spatial dependencies within each class are modeled thanks to Potts-Markov random fields. Within a Bayesian framework, prior distributions for the abundances and the associated hyperparameters are introduced. A reparametrization of the abundance coefficients is proposed to handle the physical constraints (positivity and sum-to-one) inherent to hyperspectral imagery. The parameters (abundances), hyperparameters (abundance mean and variance for each class) and the classification map indicating the classes of all pixels in the image are inferred from the resulting joint posterior distribution. To overcome the complexity of the joint posterior distribution, Markov chain Monte Carlo methods are used to generate samples asymptotically distributed according to the joint posterior of interest. Simulations conducted on synthetic and real data are presented to illustrate the performance of the proposed algorithm.
Eches, Olivier; Dobigeon, Nicolas; Tourneret, Jean-Yves [University of Toulouse, IRIT/INP-ENSEEIHT, 2 rue Camichel, 31071 Toulouse cedex 7 (France)
A load sensing system inexpensively monitors the weight and temperature of stored nuclear material for long periods of time in widely variable environments. The system can include an electrostatic load cell that encodes weight and temperature into a digital signal which is sent to a remote monitor via a coaxial cable. The same cable is used to supply the load cell with power. When multiple load cells are used, vast inventories of stored nuclear material can be continuously monitored and inventoried of minimal cost. 4 figs.
Sohns, C.W.; Nodine, R.N.; Wallace, S.A.
Design and development of an airborne microwave radiometer for atmospheric sensing
Satellite-based passive microwave remote sensing is a valuable tool for global weather monitoring and prediction. This thesis presents the design and development of a low-cost airborne weather sensing instrument to ...
Scarito, Michael P
Radiometric modeling of mechanical draft cooling towers to assist in the extraction of their absolute temperature from remote thermal imagery.
??Determination of the internal temperature of a mechanical draft cooling tower (MDCT) from remotely-sensed thermal imagery is important for many applications that provide input to� (more)
Montanaro, Matthew
Compressed Sensing in Astronomy
Recent advances in signal processing have focused on the use of sparse representations in various applications. A new field of interest based on sparsity has recently emerged: compressed sensing. This theory is a new sampling framework that provides an alternative to the well-known Shannon sampling theory. In this paper we investigate how compressed sensing (CS) can provide new insights into astronomical data compression and more generally how it paves the way for new conceptions in astronomical remote sensing. We first give a brief overview of the compressed sensing theory which provides very simple coding process with low computational cost, thus favoring its use for real-time applications often found on board space mission. We introduce a practical and effective recovery algorithm for decoding compressed data. In astronomy, physical prior information is often crucial for devising effective signal processing methods. We particularly point out that a CS-based compression scheme is flexible enough to account for such information. In this context, compressed sensing is a new framework in which data acquisition and data processing are merged. We show also that CS provides a new fantastic way to handle multiple observations of the same field view, allowing us to recover information at very low signal-to-noise ratio, which is impossible with standard compression methods. This CS data fusion concept could lead to an elegant and effective way to solve the problem ESA is faced with, for the transmission to the earth of the data collected by PACS, one of the instruments on board the Herschel spacecraft which will be launched in 2008.
J. Bobin; J-L Starck; R. Ottensamer
Workshop: Avanos na Deteco e Anlise de Mudanas Ambientais nos Trpicos utilizando Produtos de Sensoriamento Remoto (Advances on the Detection and Analysis of Environmental Changes in theTropics using Remote Sensing)
sensing data with vegetation models for carbon cycle studies. The first topic will present new techniques to support the implementation of dynamic global vegetation models (DGVMs) coupled with global climatic models (GCMs). This will specially tackle the main uncertainties related to estimation of carbon emissions
Use of an Ultrasonic Sodar to Sense Raindrop Size Distributions
The design of a sodar that uses ultrasound to remotely sense drop size distributions in rainfall is described. The Doppler shift is proportional to a drop's terminal velocity and gives a measure of the drop diameter, whereas the intensity of ...
Stuart Bradley; Tracey Webb
Ocean Surface Pressure Fields from Satellite-Sensed Winds
The University of Washington's planetary boundary layer model is inverted to use remotely sensed satellite scatterometer-derived surface winds as input to calculate maritime surface pressure fields. The analysis of three different synoptic storm ...
Robert A. Brown; Gad Levy
Geothermal Exploration In Pilgrim, Alaska- First Results From Remote
Pilgrim, Alaska- First Results From Remote Pilgrim, Alaska- First Results From Remote Sensing Studies Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Poster: Geothermal Exploration In Pilgrim, Alaska- First Results From Remote Sensing Studies Details Activities (3) Areas (1) Regions (0) Abstract: In an effort to develop a sustainable alternate energy resource and decrease the dependency on expensive oil in rural Alaska, the Department of Energy and the Alaska Energy Authority have jointly funded an exploration project to investigate the Pilgrim Hot Springs geothermal system in western Alaska. Phase one of the exploration involves a remote sensing based assessment of the geothermal system. We used all available cloud-free summer-time thermal infrared (TIR) images from the Landsat data archive to detect and map the surface thermal anomalies in the study area
Hyperspectral mineral mapping in support of geothermal exploration-
mineral mapping in support of geothermal exploration- mineral mapping in support of geothermal exploration- Examples from Long Valley Caldera, CA and Dixie Valley, NV, USA Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: Hyperspectral mineral mapping in support of geothermal exploration- Examples from Long Valley Caldera, CA and Dixie Valley, NV, USA Abstract N/A Authors B. A. Martini, E. A. Silver, W. L. Pickles and P. A. Cocks Conference Geothermal Resources Council Annual Meeting; Morelia, Mexico; 2004 Published Geothermal Resources Council Annual Meeting;, 2004 DOI Not Provided Check for DOI availability: http://crossref.org Online Internet link for Hyperspectral mineral mapping in support of geothermal exploration- Examples from Long Valley Caldera, CA and Dixie Valley, NV, USA
Project Objectives are to demonstrate the feasibility of real-time stress measurement, bit loading, and horizon sensing on a longwall shearer, boring machine, continuous miner, and loading bucket.
Larry G. Stolarczyk, Sc.D.
Quorum Sensing
entering stationary phase in the laboratory. Quorum sensing is used by ..... The term �autoinducer� is used by some to describe QS signals because of this positive ...... More challenging has been the search for true QS signalling systems in�...
Application of neural networks to discriminate fungal infection levels in rice panicles using hyperspectral reflectance and principal components analysis
Detecting plant health condition is an important step in controlling disease and insect stress in agricultural crops. In this study, we applied neural network and principal components analysis techniques for discriminating and classifying different fungal ... Keywords: Derivative spectra, Neural networks, Principal component analysis, Remote sensing, Rice false smut disease, Rice glume blight disease, Spectral reflectance
Zhan-Yu Liu; Hong-Feng Wu; Jing-Feng Huang
Two lattice computing approaches for the unsupervised segmentation of hyperspectral images
Endmembers for the spectral unmixing analysis of hyperspectral images are sets of affinely independent vectors, which define a convex polytope covering the data points that represent the pixel image spectra. Strong lattice independence (SLI) is a property ... Keywords: Auto-associative morphological memories, Endmember induction, Hyperspectral images, Lattice associative memories, Lattice computing, Lattice independence
Manuel Gra�a; Ivan Villaverde; Jos� O. Maldonado; Carmen Hernandez
An endmember-based distance for content based hyperspectral image retrieval
We propose a specific content-based image retrieval (CBIR) system for hyperspectral images exploiting its rich spectral information. The CBIR image features are the endmember signatures obtained from the image data by endmember induction algorithms (EIAs). ... Keywords: Content based image retrieval, Endmember induction algorithm, Hyperspectral images, Image similarity
Manuel Gra�A; Miguel A. Veganzones
Hyperspectral Imaging At Fish Lake Valley Area (Littlefield & Calvin, 2010)
Hyperspectral Imaging At Fish Lake Valley Area (Littlefield & Calvin, 2010) Hyperspectral Imaging At Fish Lake Valley Area (Littlefield & Calvin, 2010) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Hyperspectral Imaging At Fish Lake Valley Area (Littlefield & Calvin, 2010) Exploration Activity Details Location Fish Lake Valley Area Exploration Technique Hyperspectral Imaging Activity Date Spectral Imaging Sensor AVIRIS Usefulness useful DOE-funding Unknown Notes "The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) instrument acquired hyperspectral data over northern Fish Lake Valley in March 2003. The AVIRIS sensor is maintained by the Jet Propulsion Laboratory and collects data in 224 wavelengths from the visible to shortwave infrared (0.4 to 2.5 micro-m) at 2 m spatial resolution. The data set covers the
Time-resolved Hyperspectral Fluorescence Spectroscopy using Frequency Modulated Excitation
An intensity-modulated excitation light source is used together with a micro channel plate intensified CCD (ICCD) detector gated at a slightly different frequency to generate a beat frequency from a fluorescent sample. The addition of a spectrograph produces a hyperspectral time-resolved data product where the resulting beat frequency is detected with a low frame rate camera. Measuring the beat frequency of the spectrum as a function of time allows separation of the excited fluorescence from ambient constant light sources. The excitation and detector repetition rates are varied over a range of discrete frequencies, and the phase shift of the beat wave maps out the emission decay rate(s).
,; Neill, M
Vacuum Vessel Remote Handling
FIRE Vacuum Vessel and Remote Handling Overview B. Nelson, T. Burgess, T. Brown, H-M Fan, G. Jones #12;13 July 2002 Snowmass Review: FIRE Vacuum Vessel and Remote Handling 2 Presentation Outline · Remote Handling - Maintenance Approach & Component Classification - In-Vessel Transporter - Component
Real-time horizon sensing (HS) on continuous mining (CM) machines is becoming an industry tool. Installation and testing of production-grade HS systems has been ongoing this quarter at Oxbow Mining Company, Monterey Coal Company (EXXON), FMC Trona, Twentymile Coal Company (RAG America), and SASOL Coal. Detailed monitoring of system function, user experience, and mining benefits is ongoing. All horizon sensor components have finished MSHA (United States) and IEC (International) certification.
Autonomous Target Dependent Waveband Selection for Tracking in Performance-Driven Hyperspectral Sensing
rendered HSI images. The simulations demonstrate improved vehicle tracking accuracy when using integration of the Feature-Aided Tracking (FAT) component derived from the selected wavebands within
Kerekes, John
Radio frequency security system, method for a building facility or the like, and apparatus and methods for remotely monitoring the status of fire extinguishers
A system for remotely monitoring the status of one or more fire extinguishers includes means for sensing at least one parameter of each of the fire extinguishers; means for selectively transmitting the sensed parameters along with information identifying the fire extinguishers from which the parameters were sensed; and means for receiving the sensed parameters and identifying information for the fire extinguisher or extinguishers at a common location. Other systems and methods for remotely monitoring the status of multiple fire extinguishers are also provided.
Runyon, Larry (Richland, WA); Gunter, Wayne M. (Richland, WA); Gilbert, Ronald W. (Gilroy, CA)
Surface emissivity and temperature retrieval for a hyperspectral sensor
With the growing use of hyper-spectral imagers, e.g., AVIRIS in the visible and short-wave infrared there is hope of using such instruments in the mid-wave and thermal IR (TIR) some day. The author believes that this will enable him to get around using the present temperature-emissivity separation algorithms using methods which take advantage of the many channels available in hyper-spectral imagers. A simple fact used in coming up with a novel algorithm is that a typical surface emissivity spectrum are rather smooth compared to spectral features introduced by the atmosphere. Thus, a iterative solution technique can be devised which retrieves emissivity spectra based on spectral smoothness. To make the emissivities realistic, atmospheric parameters are varied using approximations, look-up tables derived from a radiative transfer code and spectral libraries. One such iterative algorithm solves the radiative transfer equation for the radiance at the sensor for the unknown emissivity and uses the blackbody temperature computed in an atmospheric window to get a guess for the unknown surface temperature. By varying the surface temperature over a small range a series of emissivity spectra are calculated. The one with the smoothest characteristic is chosen. The algorithm was tested on synthetic data using MODTRAN and the Salisbury emissivity database.
Borel, C.C.
The Oceanic Remote Chemical/Optical Analyzer (ORCA)�An Autonomous Moored Profiler
An autonomous, moored profiler [the Oceanic Remote Chemical/Optical Analyzer (ORCA)] was developed to sense a variety of chemical and optical properties in the upper water column. It is presently used to monitor water quality parameters in South ...
John P. Dunne; Allan H. Devol; Steven Emerson
Arctic Cloud Microphysics Retrievals from Surface-Based Remote Sensors at SHEBA
An operational suite of ground-based, remote sensing retrievals for producing cloud microphysical properties is described, assessed, and applied to 1 yr of observations in the Arctic. All measurements were made in support of the Surface Heat ...
Matthew D. Shupe; Taneil Uttal; Sergey Y. Matrosov
Low-Frequency Variability and Remote Forcing of Gap Winds over the East Pacific Warm Pool
The low-frequency variability of gap winds at the Isthmuses of Tehuantepec and Papagayo is investigated using a 17-yr wind stress dataset merging the remotely sensed observations of Special Sensor Microwave Imager (SSM/I) and Quick Scatterometer (...
Kristopher B. Karnauskas; Antonio J. Busalacchi; Raghu Murtugudde
Surface Emissivity Impact on Temperature and Moisture Soundings from Hyperspectral Infrared Radiance Measurements
An accurate land surface emissivity (LSE) is critical for the retrieval of atmospheric temperature and moisture profiles along with land surface temperature from hyperspectral infrared (IR) sounder radiances; it is also critical to assimilating IR ...
Zhigang Yao; Jun Li; Jinlong Li; Hong Zhang
A decadal gridded hyperspectral infrared record for climate sep 1st 2002--aug 31st 2012
We present a gridded Fundamental Decadal Data Record (FDDR) of Brightness Temperatures (BT) from the NASA Atmospheric Infrared Sounder (AIRS) from ten years of hyperspectral Infrared Radiances onboard the NASA EOS Aqua satellite. Although global surface ...
David Raymond Chapman / Milton Halem
Estimation of foliar pigment concentration in floating macrophytes using hyperspectral vegetation indices
Foliar pigment concentrations of chlorophylls and cartenoids are important indicators of plant physiological status, photosynthesis rate, and net primary productivity. Although the utility of hyperspectral derived vegetation indices for estimating foliar ...
Cameron Proctor; Yuhong He
Implications and mitigation of model mismatch and covariance contamination for hyperspectral chemical agent detection
Most chemical gas detection algorithms for long-wave infrared hyperspectral images assume a gas with a perfectly known spectral signature. In practice, the chemical signature is either imperfectly measured and/or exhibits ...
Niu, Sidi
Hyperspectral microscopy using an external cavity quantum cascade laser and its applications for explosives detection
A hyperspectral infrared microscope using external cavity quantum cascade laser illumination and a microbolometer focal plane array is used to characterize nanogram-scale particles of the explosives RDX, tetryl, and PETN at fast acquisition rates.
Phillips, Mark C.; Suter, Jonathan D.; Bernacki, Bruce E.
Remote reset circuit
A remote reset circuit acts as a stand-alone monitor and controller by clocking in each character sent by a terminal to a computer and comparing it to a given reference character. When a match occurs, the remote reset circuit activates the system's hardware reset line. The remote reset circuit is hardware based centered around monostable multivibrators and is unaffected by system crashes, partial serial transmissions, or power supply transients.
Gritzo, Russell E. (West Melbourne, FL)
A remote reset circuit acts as a stand-along monitor and controller by clocking in each character sent by a terminal to a computer and comparing it to a given reference character. When a match occurs, the remote reset circuit activates the system's hardware reset line. The remote reset circuit is hardware based centered around monostable multivibrators and is unaffected by system crashes, partial serial transmissions, or power supply transients. 4 figs.
Gritzo, R.E.
Resilient Image Fusion
The paper describes a distributed spectral-screening PCT algorithm for fusing hyper-spectral images in remote sensing applications. The algorithm provides intrusion tolerance from information warfare attacks using the notion of computational resiliency. ...
Tiranee Achalakul; Joohan Lee; Stephen Taylor
Remote Systems Design & Deployment
The Pacific Northwest National Laboratory (PNNL) was tasked by Washington River Protection Solutions, LLC (WRPS) to provide information and lessons learned relating to the design, development and deployment of remote systems, particularly remote arm/manipulator systems. This report reflects PNNL�s experience with remote systems and lays out the most important activities that need to be completed to successfully design, build, deploy and operate remote systems in radioactive and chemically contaminated environments. It also contains lessons learned from PNNL�s work experiences, and the work of others in the national laboratory complex.
Bailey, Sharon A.; Baker, Carl P.; Valdez, Patrick LJ
Full field imaging based instantaneous hyperspectral absolute refractive index measurement
Multispectral refractometers typically measure refractive index (RI) at discrete monochromatic wavelengths via a serial process. We report on the demonstration of a white light full field imaging based refractometer capable of instantaneous multispectral measurement of absolute RI of clear liquid/gel samples across the entire visible light spectrum. The broad optical bandwidth refractometer is capable of hyperspectral measurement of RI in the range 1.30 1.70 between 400nm 700nm with a maximum error of 0.0036 units (0.24% of actual) at 414nm for a = 1.50 sample. We present system design and calibration method details as well as results from a system validation sample.
Baba, Justin S [ORNL; Boudreaux, Philip R [ORNL
Hyperspectral Mineral Mapping In Support Of Geothermal Exploration-
Mineral Mapping In Support Of Geothermal Exploration- Mineral Mapping In Support Of Geothermal Exploration- Examples From Long Valley Caldera, Ca And Dixie Valley, Nv, Usa Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Book: Hyperspectral Mineral Mapping In Support Of Geothermal Exploration- Examples From Long Valley Caldera, Ca And Dixie Valley, Nv, Usa Details Activities (2) Areas (2) Regions (0) Abstract: Growing interest and exploration dollars within the geothermal sector have paved the way for increasingly sophisticated suites of geophysical and geochemical tools and methodologies. The efforts to characterize and assess known geothermal fields and find new, previously unknown resources has been aided by the advent of higher spatial resolution airborne geophysics (e.g. aeromagnetics), development of new seismic
In Situ Cloud Sensing with Multiple Scattering Lidar: Simulations and Demonstration
Due to the spatially inhomogeneous nature of clouds there are large uncertainties in validating remote sensing retrievals of cloud properties with traditional in situ cloud probes, which have sampling volumes measured in liters. This paper ...
K. Franklin Evans; R. Paul Lawson; Pat Zmarzly; Darren O'Connor; Warren J. Wiscombe
Spectral Imaging II: Plant disease detection based on data fusion of hyper-spectral and multi-spectral fluorescence imaging using Kohonen maps
The objective of this research was to develop a ground-based real-time remote sensing system for detecting diseases in arable crops under field conditions and in an early stage of disease development, before it can visibly be detected. This was achieved ...
D. Moshou; C. Bravo; R. Oberti; J. West; L. Bodria; A. McCartney; H. Ramon
Artificial neural networks to predict corn yield from Compact Airborne Spectrographic Imager data
In the light of recent advances in spectral imaging technology, highly flexible modeling methods must be developed to estimate various soil and crop parameters for precision farming from airborne hyperspectral imagery. The potential of artificial neural ... Keywords: Artificial neural networks, CASI, Corn, Crop yield, Hyperspectral remote sensing, Precision agriculture
Y. Uno; S. O. Prasher; R. Lacroix; P. K. Goel; Y. Karimi; A. Viau; R. M. Patel
A Structure-Controlled Model For Hot Spring Exploration In Taiwan By Remote
Structure-Controlled Model For Hot Spring Exploration In Taiwan By Remote Structure-Controlled Model For Hot Spring Exploration In Taiwan By Remote Sensing Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: A Structure-Controlled Model For Hot Spring Exploration In Taiwan By Remote Sensing Details Activities (0) Areas (0) Regions (0) Abstract: Hot Spring Law of Taiwan was passed in legislative assembly on 3 June 2003. Hot springs would become one of the most important natural resources for recreation purposes. Both public and private sectors will invest large amount of capital in this area in the near future. The value of remote sensing technology is to give a critical tool for observing the landscape to find out mega-scaled geological structures, which may not be able to be found by conventional approaches. The occurrences of the hot
Remote electrochemical sensor
An electrochemical sensor for remote detection, particularly useful for metal contaminants and organic or other compounds. The sensor circumvents technical difficulties that previously prevented in-situ remote operations. The microelectrode, connected to a long communications cable, allows convenient measurements of the element or compound at timed and frequent intervals and instrument/sample distances of ten feet to more than 100 feet. The sensor is useful for both downhole groundwater monitoring and in-situ water (e.g., shipboard seawater) analysis.
Wang, Joseph (Las Cruces, NM); Olsen, Khris (Richland, WA); Larson, David (Las Cruces, NM)
A Remotely Sensed Global Terrestrial Drought Severity Index
Regional drought and flooding from extreme climatic events are increasing in frequency and severity, with significant adverse ecosocial impacts. Detecting and monitoring drought at regional to global scales remains challenging, despite the availability of ...
Qiaozhen Mu; Maosheng Zhao; John S. Kimball; Nathan G. McDowell; Steven W. Running
Genetic Programming with Dynamic Fitness for a Remote Sensing Application
The "ocean color" problem consists in evaluating ocean components concentrations (phytoplankton, sediment, yellow substance) from sunlight reflectance or luminance values at selected wavelengths in the visible band. The interest of this application increases ...
Cyril Fonlupt; Denis Robilliard
Why Is Remote Sensing of Amazon Forest Greenness So Challenging?
The prevalence of clouds and aerosols and their impact on satellite-measured greenness levels of forests in southern and central Amazonia are explored in this article using 10 years of NASA Moderate Resolution Imaging Spectroradiometer (MODIS) ...
Arindam Samanta; Sangram Ganguly; Eric Vermote; Ramakrishna R. Nemani; Ranga B. Myneni
Remote Sensing RNL has a staff with extensive
for the surrounding areas of the Sequoyah nuclear power plant site in Hamilton County, Tennessee, using data derived
Validation of Jason-1 and Envisat Remotely Sensed Wave Heights
Satellite altimetry provides an immensely valuable source of operational significant wave height (Hs) data. Currently, altimeters on board Jason-1 and Envisat provide global Hs observations, available within 3�5 h of real time. In this work, Hs ...
Tom H. Durrant; Diana J. M. Greenslade; Ian Simmonds
Vertical stratified turbulent transport mechanism indicated by remote sensing
Satellite and shipboard data reveal the intermittent vertical information transport mechanism of turbulence and internal waves that mixes the ocean, atmosphere, planets and stars.
Gibson, Carl H; Bondur, Valery G
Remote-Sensing Quantum Hyperspace by Entangled Photon Interferometry
Even though ideas of extracting future-related, or Faster-Than-Light (FTL) information from hyperspace using quantum entanglement have generally been refuted in the last ten years, in this paper we show that the original 'Delayed Choice Quantum Eraser Experiment', 1st performed by Yoon-Ho Kim, R. Yu, S.P. Kulik, Y.H. Shih, designed by Marlan O. Scully & Druhl in 1982-1999, still features hidden topological properties that may have been overlooked by previous analysis, and which prohibit, by principle, the extraction of future-related or real-time information from the detection of the signal particle on the delayed choice of its entangled idler twin(s). We show that such properties can be removed, and quantum-level information from certain hypersurfaces of past, present or future spacetime may be collected real-time, without resulting in any paradox or violation of causality.
Gergely A. Nagy
Carl H. Gibson; R. Norris Keeler; Valery G. Bondur
Modeling of Submillimeter Passive Remote Sensing of Cirrus Clouds
The scattering properties of cirrus clouds at submillimeter-wave frequencies are analyzed and characterized in this paper. This study lays a theoretical foundation for using radiometric measurements to investigate and monitor cirrus properties ...
K. Franklin Evans; Steven J. Walter; Andrew J. Heymsfield; Merritt N. Deeter
Remote Sensing Of Snow Cover For Operational Forecasts
The areal extent of the seasonal snow cover is an important input variable for operational snowmelt runoff forecasts. It can be monitored by satellites and used by the SRM Snowmelt Runoff Model. An example is presented of simulated dayto -day runoff forecasts for a hydroelectric station Sedrun (108 km , 1840-3210 m a.s.l.). For realtime runoff forecasts it will be necessary to evaluate the satellite data within several days after each overflight. 1
K. Seidel; J. Martinec; C. Steinmeier; W. Bruesch
How can remote sensing contribute in groundwater ... - Springer
changes can reveal regional subsidence caused by piezo- metric depression around ... subsidence and drawdown, a spatial distribution of drawdown can be�...
Airborne Optical System for Remote Sensing of Ocean Waves
A compact, turret-based optical system has been designed and constructed for passive imaging of ocean waves using a small aircraft. The purpose of the system is to collect time series of images, which are mapped to a common geodetic surface in ...
J. P. Dugan; G. J. Fetzer; J. Bowden; G. J. Farruggia; J. Z. Williams; C. C. Piotrowski; K. Vierra; D. Campion; D. N. Sitter
Remote Sensing of Geomagnetic Field and Applications to Climate Prediction
Observations show that geomagnetic field lines follow closely the atmospheric circulation patterns and that geomagnetic field variations are precursors to climate change . The exact mechanism for the observed close relationship between global geomagnetic field and the tropospheric weather patterns is not clear. In this paper a universal theory of atmospheric eddy dynamics is presented which shows that the global geomagnetic field, atmospheric electric field and weather systems are manifestations of a semi permanent scale invariant hierarchical atmospheric eddy continuum. Quantitative equations are derived to show that the full continuum of atmospheric eddies exist as a unified whole and originate from buoyant energy supply from frictional turbulence at the planetary surface . Large eddy growth occurs from turbulence scale by the universal period doubling route to chaos . The turbulent eddies are carried upwards on the large eddy envelopes and vertical mixing occurs by the turbulent eddy fluctuations resulting in downward transport of negative space charges from higher levels and simultaneous upward transport of positive space charges from surface levels. The eddy circulations therefore generate a large-scale vertical aerosol current, which is of the correct sign and magnitude to generate the horizontal component of the geomagnetic field. Therefore, atmospheric circulation patterns leave signature on the geomagnetic field lines whose global variations can be easily monitored by satellite borne sensors and thus assist in weather and climate prediction.
A. Mary Selvam
University of Wisconsin Cirrus Remote Sensing Pilot Experiment
During the period of 26 October 1989 through 6 December 1989 a unique complement of measurements was made at the University of Wisconsin�Madison to study the radiative properties of cirrus clouds. Simultaneous observations were obtained from a ...
Steven A. Ackerman; William L. Smith; Ed W. Eloranta; Chris J. Grund; Robert O. Knuteson; Henry E. Revercomb; Donald P. Wylie
Remotely sensed heat anomalies linked with Amazonian forest biomass declines
with Amazonian forest biomass declines Michael Toomey, 1 Darof aboveground living biomass (p biomass declines, Geophys. Res.
Toomey, M.; Roberts, D. A.; Still, C.; Goulden, M. L.; McFadden, J. P.
Geobotanical Remote Sensing Applied To Targeting New Geothermal...
been imaged include Mammoth Mountain and the Long Valley Caldera, Dixie Meadows NV, Fish Lake Valley NV, and Brady Hot Springs. Areas that are being imaged in the summer of...
Mixed phase clouds, cloud electrification and remote sensing.
Most of hypothesis trying to explain charge separation in thunderstorm clouds require presence of ice and supercooled water. Thus the existence of ice or at least mixed phase regions near cloud tops should be a necessary (but not a sufficient) condition for development of lightning. We show that multispectral satellite based instruments, like the DOE MTI (Multispectral Thermal Imager) or NASA MODIS (Moderate Resolution Imaging Spectroradiometer), using the near infrared and visible spectral bands are able to distinguish between water, ice and mixed phase cloud regions. An analysis of the MTI images of mixed phase clouds - with spatial resolution of about 20 m - shows regions of pure water, pure ice as well as regions of water/ice mixtures. We suggest that multispectral satellite instruments may be useful for a short time forecast of lightning probabilities.
Chylek, P. (Petr); Borel, C. C. (Christoph C.); Klett, James
Satellite Remote Sensing by the Technique of Computed Tomography
Computed tomography is a medical diagnostic technique in which x-ray transmission measurements at numerous angles through the human body are processed by computer to produce cross-sectional pictures of the body. A modification of this technique, ...
Henry E. Fleming
Remote Sensing of Cirrus Particle Size Vertical Profile Using...
and shapes. The vertical variation of ice crystal size can alter the radiative heatingcooling profiles in cirrus cloudy atmospheres and hence is an important component in the...
Artificial Bubble Cloud Targets for Underwater Acoustic Remote Sensing
This article describes a technique that uses polymer additives to suspend air bubbles to form stable artificial bubble clouds. The results presented include the range of polymer concentrations for an effective bubble suspension; the void fraction,...
Paul A. Hwang; Ronald A. Roy; Lawrence A. Crum
Aerosol Remote Sensing over Clouds Using A-Train Observations
The detection of aerosol above clouds is critical for the estimate of both the aerosol and cloud radiative impacts. In this study, the authors present a new method to retrieve the aerosol properties over clouds that uses the multiangle ...
F. Waquet; J. Riedi; L. C. Labonnote; P. Goloub; B. Cairns; J-L. Deuz�; D. Tanr�
Remote Sensing of Spectral Aerosol Properties: A Classroom Experience
Bridging the gap between current research and the classroom is a major challenge to today's instructor, especially in the sciences where progress happens quickly. NASA Goddard Space Flight Center and the University of Maryland teamed up to design ...
Robert C. Levy; Rachel T. Pinker
Remote Sensing of Ocean Waves by Polarimetric SAR
A new method to measure ocean wave slope spectra using fully polarimetric synthetic aperture radar (POLSAR) data was developed without the need for a complex hydrodynamic modulation transform function. There is no explicit use of a hydrodynamic ...
Yijun He; Hui Shen; William Perrie
A Global Determination of Cloud Microphysics with AVHRR Remote Sensing
An algorithm is developed for determining the cloud optical thickness and effective particle radius simultaneously on a global scale using Advanced Very High Resolution Radiometer (AVHRR) multispectral radiance data. In the algorithm, the ...
Kazuaki Kawamoto; Teruyuki Nakajima; Takashi Y. Nakajima
Rochester Institute of Technology Digital Imaging and Remote Sensing Laboratory
now be varied both vertically and horizontally. Task Status: Trona, CA has been selected as the location for MegaScene 2. Trona is located in Death Valley. It offers the desert vegetation and climate environment. #12;27 Oblique aerial photograph of Trona, CA courtesy of Pictometry Simple rendering
Zanibbi, Richard
. The atmosphere can now be varied both vertically and horizontally. Task Status: Trona, CA has been selected as the location for MegaScene 2. Trona is located in Death Valley. It offers the desert vegetation and climate environment. Figure 3.5.1-1: Oblique aerial photograph of Trona, CA courtesy of Pictometry #12;20 Figure 3
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING 1 ADVISER: Immersive Scientific Visualization Applied
be applied to the terrain (Figure 2b). A custom pixel shader was integrated with ROAM to render the dynamic
Head III, James William
Geophysical remote sensing of water reservoirs suitable for desalinization.
In many parts of the United States, as well as other regions of the world, competing demands for fresh water or water suitable for desalination are outstripping sustainable supplies. In these areas, new water supplies are necessary to sustain economic development and agricultural uses, as well as support expanding populations, particularly in the Southwestern United States. Increasing the supply of water will more than likely come through desalinization of water reservoirs that are not suitable for present use. Surface-deployed seismic and electromagnetic (EM) methods have the potential for addressing these critical issues within large volumes of an aquifer at a lower cost than drilling and sampling. However, for detailed analysis of the water quality, some sampling utilizing boreholes would be required with geophysical methods being employed to extrapolate these sampled results to non-sampled regions of the aquifer. The research in this report addresses using seismic and EM methods in two complimentary ways to aid in the identification of water reservoirs that are suitable for desalinization. The first method uses the seismic data to constrain the earth structure so that detailed EM modeling can estimate the pore water conductivity, and hence the salinity. The second method utilizes the coupling of seismic and EM waves through the seismo-electric (conversion of seismic energy to electrical energy) and the electro-seismic (conversion of electrical energy to seismic energy) to estimate the salinity of the target aquifer. Analytic 1D solutions to coupled pressure and electric wave propagation demonstrate the types of waves one expects when using a seismic or electric source. A 2D seismo-electric/electro-seismic is developed to demonstrate the coupled seismic and EM system. For finite-difference modeling, the seismic and EM wave propagation algorithms are on different spatial and temporal scales. We present a method to solve multiple, finite-difference physics problems that has application beyond the present use. A limited field experiment was conducted to assess the seismo-electric effect. Due to a variety of problems, the observation of the electric field due to a seismic source is not definitive.
Aldridge, David Franklin; Bartel, Lewis Clark; Bonal, Nedra; Engler, Bruce Phillip
T-573: Windows Remote Desktop Client DLL Loading Error Lets Remote...
73: Windows Remote Desktop Client DLL Loading Error Lets Remote Users Execute Arbitrary Code T-573: Windows Remote Desktop Client DLL Loading Error Lets Remote Users Execute...
Ensemble based sensing anomaly detection in wireless sensor networks
Wireless sensor networks are often used to monitor and measure physical characteristics from remote and sometimes hostile environments. In these circumstances the sensing data accuracy is a crucial attribute for the way these applications complete their ... Keywords: Binary classifier, Data accuracy, Ensemble based systems, Sensors anomalies, Wireless sensor networks
Daniel-Ioan Curiac; Constantin Volosencu
Remote connector development study
Plutonium-uranium extraction (PUREX) connectors, the most common connectors used at the Hanford site, offer a certain level of flexibility in pipe routing, process system configuration, and remote equipment/instrument replacement. However, these desirable features have inherent shortcomings like leakage, high pressure drop through the right angle bends, and a limited range of available pipe diameters that can be connect by them. Costs for construction, maintenance, and operation of PUREX connectors seem to be very high. The PUREX connector designs include a 90{degree} bend in each connector. This increases the pressure drop and erosion effects. Thus, each jumper requires at least two 90{degree} bends. PUREX connectors have not been practically used beyond 100 (4 in.) inner diameter. This study represents the results of a survey on the use of remote pipe-connection systems in US and foreign plants. This study also describes the interdependence between connectors, remote handling equipment, and the necessary skills of the operators.
Parazin, R.J.
Mapping oil spills on sea water using spectral mixture analysis of hyperspectral image data
Mapping oil spills on sea water using spectral mixture analysis of hyperspectral image data Javier large spill oil events threatening coastal habitats and species. Some recent examples include the 2002 Prestige tanker oil spill in Galicia, Northern Spain, as well as repeated oil spill leaks evidenced
Characterization of forest crops with a range of nutrient and water treatments using AISA Hyperspectral Imagery.
This research examined the utility of Airborne Imaging Spectrometer for Applications (AISA) hyperspectral imagery for estimating the biomass of three forest crops---sycamore, sweetgum and loblolly pine--planted in experimental plots with a range of fertilization and irrigation treatments on the Savannah River Site near Aiken, South Carolina.
Gong, Binglei; Im, Jungho; Jensen, John, R.; Coleman, Mark; Rhee, Jinyoung; Nelson, Eric
FEATURE-AIDED TRACKING VIA SYNTHETIC HYPERSPECTRAL IMAGERY A. Rice, J. Vasquez, M. Mendenhall
-aided tracking (FAT) is an emerging area of research, employing HSI instruments and exploitation techniques of studies have been conducted to demonstrate HSI-FAT with contemporary and novel HSI in- struments, synthetic hyperspectral rendering, and full image-chain treatment of the various sensor models. Cor
An electrochemical sensor is described for remote detection, particularly useful for metal contaminants and organic or other compounds. The sensor circumvents technical difficulties that previously prevented in-situ remote operations. The microelectrode, connected to a long communications cable, allows convenient measurements of the element or compound at timed and frequent intervals and instrument/sample distances of ten feet to more than 100 feet. The sensor is useful for both downhole groundwater monitoring and in-situ water (e.g., shipboard seawater) analysis. 21 figs.
Wang, J.; Olsen, K.; Larson, D.
Word sense disambiguation methods
Word sense disambiguation is one of the key tasks of text processing. It consists in the determination of senses of words or compound terms in accordance with the context where they were used. The word sense disambiguation problem originated in the 1950s ...
D. Yu. Turdakov
Mesoscale Numerical Weather Prediction Models Used in Support of Infrared Hyperspectral Measurement Simulation and Product Algorithm Development
A novel application of numerical weather prediction (NWP) models within an end-to-end processing system used to demonstrate advanced hyperspectral satellite technologies and instrument concepts is presented. As part of this system, sophisticated ...
Jason A. Otkin; Derek J. Posselt; Erik R. Olson; Hung-Lung Huang; James E. Davies; Jun Li; Christopher S. Velden
In-scene atmospheric correction of hyperspectral thermal infrared images with nadir, horizontal, and oblique view angles
Atmospheric corrections for hyperspectral thermal images acquired with nadir, horizontal, and oblique views have typically relied on atmospheric modelling software, such as Moderate Resolution Atmospheric Transmission MODTRAN, to estimate atmospheric ...
MattR. Smith; AlanR. Gillespie; Hugau Mizzon; LeeK. Balick; Juan Carlos Jim�nez-Mu�oz; JoseA. Sobrino
High temperature, minimally invasive optical sensing modules
A remote temperature sensing system includes a light source selectively producing light at two different wavelengths and a sensor device having an optical path length that varies as a function of temperature. The sensor receives light emitted by the light source and redirects the light along the optical path length. The system also includes a detector receiving redirected light from the sensor device and generating respective signals indicative of respective intensities of received redirected light corresponding to respective wavelengths of light emitted by the light source. The system also includes a processor processing the signals generated by the detector to calculate a temperature of the device.
Riza, Nabeel Agha (Oviedo, FL); Perez, Frank (Tujunga, CA)
Remote repair appliance
A remote appliance for supporting a tool for performing work at a worksite on a substantially circular bore of a workpiece and for providing video signals of the worksite to a remote monitor comprising: a baseplate having an inner face and an outer face; a plurality of rollers, wherein each roller is rotatably and adjustably attached to the inner face of the baseplate and positioned to roll against the bore of the workpiece when the baseplate is positioned against the mouth of the bore such that the appliance may be rotated about the bore in a plane substantially parallel to the baseplate; a tool holding means for supporting the tool, the tool holding means being adjustably attached to the outer face of the baseplate such that the working end of the tool is positioned on the inner face side of the baseplate; a camera for providing video signals of the worksite to the remote monitor; and a camera holding means for supporting the camera on the inner face side of the baseplate, the camera holding means being adjustably attached to the outer face of the baseplate. In a preferred embodiment, roller guards are provided to protect the rollers from debris and a bore guard is provided to protect the bore from wear by the rollers and damage from debris.
Heumann, Frederick K. (Ballston Spa, NY); Wilkinson, Jay C. (Ballston Spa, NY); Wooding, David R. (Saratoga Springs, NY)
A remote appliance for supporting a tool for performing work at a work site on a substantially circular bore of a work piece and for providing video signals of the work site to a remote monitor comprises: a base plate having an inner face and an outer face; a plurality of rollers, wherein each roller is rotatably and adjustably attached to the inner face of the base plate and positioned to roll against the bore of the work piece when the base plate is positioned against the mouth of the bore such that the appliance may be rotated about the bore in a plane substantially parallel to the base plate; a tool holding means for supporting the tool, the tool holding means being adjustably attached to the outer face of the base plate such that the working end of the tool is positioned on the inner face side of the base plate; a camera for providing video signals of the work site to the remote monitor; and a camera holding means for supporting the camera on the inner face side of the base plate, the camera holding means being adjustably attached to the outer face of the base plate. In a preferred embodiment, roller guards are provided to protect the rollers from debris and a bore guard is provided to protect the bore from wear by the rollers and damage from debris. 5 figs.
Heumann, F.K.; Wilkinson, J.C.; Wooding, D.R.
A remote appliance is described for supporting a tool for performing work at a worksite on a substantially circular bore of a workpiece and for providing video signals of the worksite to a remote monitor comprising: a baseplate having an inner face and an outer face; a plurality of rollers, wherein each roller is rotatably and adjustably attached to the inner face of the baseplate and positioned to roll against the bore of the workpiece when the baseplate is positioned against the mouth of the bore such that the appliance may be rotated about the bore in a plane substantially parallel to the baseplate; a tool holding means for supporting the tool, the tool holding means being adjustably attached to the outer face of the baseplate such that the working end of the tool is positioned on the inner face side of the baseplate; a camera for providing video signals of the worksite to the remote monitor; and a camera holding means for supporting the camera on the inner face side of the baseplate, the camera holding means being adjustably attached to the outer face of the baseplate. In a preferred embodiment, roller guards are provided to protect the rollers from debris and a bore guard is provided to protect the bore from wear by the rollers and damage from debris.