text: '''
  <table class="ee-notebook-buttons" align="left">
      <td><a target="_blank"  href="https://github.com/giswqs/earthengine-py-notebooks/tree/master/GetStarted/03_finding_images.ipynb"><img width=32px src="https://www.tensorflow.org/images/GitHub-Mark-32px.png" /> View source on GitHub</a></td>
      <td><a target="_blank"  href="https://nbviewer.jupyter.org/github/giswqs/earthengine-py-notebooks/blob/master/GetStarted/03_finding_images.ipynb"><img width=26px src="https://upload.wikimedia.org/wikipedia/commons/thumb/3/38/Jupyter_logo.svg/883px-Jupyter_logo.svg.png" />Notebook Viewer</a></td>
      <td><a target="_blank"  href="https://mybinder.org/v2/gh/giswqs/earthengine-py-notebooks/master?filepath=GetStarted/03_finding_images.ipynb"><img width=58px src="https://mybinder.org/static/images/logo_social.png" />Run in binder</a></td>
      <td><a target="_blank"  href="https://colab.research.google.com/github/giswqs/earthengine-py-notebooks/blob/master/GetStarted/03_finding_images.ipynb"><img src="https://www.tensorflow.org/images/colab_logo_32px.png" /> Run in Google Colab</a></td>
  </table>
  '''
  
  # %%
  '''
  ## Install Earth Engine API
  Install the [Earth Engine Python API](https://developers.google.com/earth-engine/python_install) and [geehydro](https://github.com/giswqs/geehydro). The **geehydro** Python package builds on the [folium](https://github.com/python-visualization/folium) package and implements several methods for displaying Earth Engine data layers, such as `Map.addLayer()`, `Map.setCenter()`, `Map.centerObject()`, and `Map.setOptions()`.
  The magic command `%%capture` can be used to hide output from a specific cell. Uncomment these lines if you are running this notebook for the first time.
  '''
  
  
  # %%
  # %%capture
  # !pip install earthengine-api
  # !pip install geehydro
  
  # %%
  '''
  Import libraries
  '''
  
  
  # %%
  import ee
  import folium
  import geehydro
  
  # %%
  '''
  Authenticate and initialize Earth Engine API. You only need to authenticate the Earth Engine API once. Uncomment the line `ee.Authenticate()` 
  if you are running this notebook for the first time or if you are getting an authentication error.  
  '''
  
  
  # %%
  # ee.Authenticate()
  ee.Initialize()
  
  # %%
  '''
  ## Create an interactive map 
  This step creates an interactive map using [folium](https://github.com/python-visualization/folium). The default basemap is the OpenStreetMap. Additional basemaps can be added using the `Map.setOptions()` function. 
  The optional basemaps can be `ROADMAP`, `SATELLITE`, `HYBRID`, `TERRAIN`, or `ESRI`.
  '''
  
  # %%
  Map = folium.Map(location=[40, -100], zoom_start=4)
  Map.setOptions('HYBRID')
  
  # %%
  '''
  ## Add Earth Engine Python script 
  
  '''
  
  # %%
  collection = ee.ImageCollection('LANDSAT/LC08/C01/T1')
  
  point = ee.Geometry.Point(-122.262, 37.8719)
  start = ee.Date('2014-06-01')
  finish = ee.Date('2014-10-01')
  
  filteredCollection = ee.ImageCollection('LANDSAT/LC08/C01/T1') \
      .filterBounds(point) \
      .filterDate(start, finish) \
      .sort('CLOUD_COVER', True)
  
  first = filteredCollection.first()
  # Define visualization parameters in an object literal.
  vizParams = {'bands': ['B5', 'B4', 'B3'],
               'min': 5000, 'max': 15000, 'gamma': 1.3}
  Map.addLayer(first, vizParams, 'Landsat 8 image')
  
  # Load a feature collection.
  featureCollection = ee.FeatureCollection('TIGER/2016/States')
  
  # Filter the collection.
  filteredFC = featureCollection.filter(ee.Filter.eq('NAME', 'California'))
  
  # Display the collection.
  Map.addLayer(ee.Image().paint(filteredFC, 0, 2),
               {'palette': 'red'}, 'California')
  
  
  # %%
  '''
  ## Display Earth Engine data layers 
  
  '''
  
  
  # %%
  Map.setControlVisibility(layerControl=True, fullscreenControl=True, latLngPopup=True)
  Map