of analytical processing and using more fieldwork to obtain ground-truth measurements. Projects have been completed and are currently underway in terrain classification including Elkhorn Slough and hidden trail identification. Other future projects include a collaboration with the MOdeling, Virtual Environments, and Simulation (MOVES) institute on lidar standards for data structure and visualization tools and modeling new lidar analysis tools. Spectral Imagery Analysis Spectral imagery measures the spectral character of materials within the visible range and beyond. Two objects may appear visually identical but may be distinguished through examination of their spectral properties. Computer software can use a color scheme to make them visible. A subset of spectral imagery, hyperspectral imaging data, is produced when "solar electromagnetic energy reflected from the earth's surface is dispersed into many contiguous narrow spectral bands by an airborne spectrometer" (Stefanou, 1997, p. 2). Our current research and projects include environmental mapping, target detection, and change detection. The Remote Sensing Center works with airborne and satellite systems including IKONOS/Quickbird multispectral imagery (MSI), and airborne hyperspectral imaging (HSI) systems including AVIRIS, HYDICE, CASI, and HYMAP. Classification and analysis, including atmospheric compensation is performed using standard industry research tools; notably ENVI and ERDAS Imagine. The RSC has acquired a polarimetric camera for expanding experimentation in the visible spectrum. Intelligence The Remote Sensing Center benefits from the secure facilities at NPS. Having the ability to process classified data with an on-site, fully equipped Sensitive Compartmented Information Facility (SCIF) allows students and faculty to pursue lines of research and work with technologies unavailable to the public. The sustained efforts of fully funded graduate students, both military and civilian with an average of eight to ten years of field experience, have conducted research in an array of topics related to remote sensing. Current projects include: Helicopter Brownout (terrain classification) using National Technical Means (NTM) Maritime Domain Awareness (ASW) Snow/Ice study with UCSB using NTM Degree Programs The Remote Sensing Research and Education Program (RS-REP) is an interdisciplinary program to promote Remote Sensing technical education and research advancement to ensure that the Intelligence Community is fully supported for technology evolution. The curriculum is in hiatus as of 2017. Partners University Partners University of California at Santa Barbara University of California at Santa Cruz California State University at Monterey Bay Community Science Partners Elkhorn Slough Foundation Moss Landing Marine Laboratory Stanford’s Hopkins Marine Institute Monterey Bay Aquarium Research Institute Fleet Numerical Meteorology and