text: '''
  <table class="ee-notebook-buttons" align="left">
      <td><a target="_blank"  href="https://github.com/giswqs/earthengine-py-notebooks/tree/master/Visualization/image_thumbnail.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/Visualization/image_thumbnail.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=Visualization/image_thumbnail.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/Visualization/image_thumbnail.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 
  
  '''
  
  # %%
  # Fetch a digital elevation model.
  image = ee.Image('CGIAR/SRTM90_V4')
  
  # Request a default thumbnail of the DEM with defined linear stretch.
  # Set masked pixels (ocean) to 1000 so they map as gray.
  thumbnail1 = image.unmask(1000).getThumbURL({
    'min': 0,
    'max': 3000,
    'dimensions': 500,
    'region': ee.Geometry.Rectangle([-84.6, -55.9, -32.9, 15.7]),
  })
  print('Thumbnail:', thumbnail1)
  
  # # Specify region by GeoJSON, define palette, set size of the larger aspect dimension.
  # thumbnail2 = image.getThumbURL({
  #   'min': 0,
  #   'max': 3000,
  #   'palette': ['00A600','63C600','E6E600','E9BD3A','ECB176','EFC2B3','F2F2F2'],
  #   'dimensions': 500,
  #   'region': ee.Geometry.Rectangle([-84.6, -55.9, -32.9, 15.7]),
  # })
  # print('GeoJSON region, palette, and max dimension:', thumbnail2)
  
  # # Specify region by list of points and set display CRS as Web Mercator.
  # thumbnail3 = image.getThumbURL({
  #   'min': 0,
  #   'max': 3000,
  #   'palette': ['00A600','63C600','E6E600','E9BD3A','ECB176','EFC2B3','F2F2F2'],
  #   'region': [[-84.6, 15.7], [-84.6, -55.9], [-32.9, -55.9]],
  #   'crs': 'EPSG:3857'
  # })
  # print('Linear ring region and specified crs', thumbnail3)
  
  # %%
  '''
  ## Display Earth Engine data layers 
  
  '''
  
  
  # %%
  Map.setControlVisibility(layerControl=True, fullscreenControl=True, latLngPopup=True)
  Map