text: '''
  <table class="ee-notebook-buttons" align="left">
      <td><a target="_blank"  href="https://github.com/giswqs/earthengine-py-notebooks/tree/master/ImageCollection/landsat_simple_composite.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/ImageCollection/landsat_simple_composite.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=ImageCollection/landsat_simple_composite.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/ImageCollection/landsat_simple_composite.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 
  
  '''
  
  # %%
  # Composite 6 months of Landsat 8.
  
  # Note that the input to simpleComposite is raw data.
  l8 = ee.ImageCollection('LANDSAT/LC08/C01/T1')
  
  # The asFloat parameter gives floating-point TOA output instead of
  # the UINT8 outputs of the default simpleComposite().
  composite = ee.Algorithms.Landsat.simpleComposite(**{
    'collection': l8.filterDate('2015-1-1', '2015-7-1'),
    'asFloat': True
  })
  
  # Pick a spot with lots of clouds.
  Map.setCenter(-47.6735, -0.6344, 12)
  # Display a composite with a band combination chosen from:
  # https:#landsat.usgs.gov/how-do-landsat-8-band-combinations-differ-landsat-7-or-landsat-5-satellite-data
  Map.addLayer(composite, {'bands': ['B6', 'B5', 'B4'], 'max': [0.3, 0.4, 0.3]})
  
  
  # %%
  '''
  ## Display Earth Engine data layers 
  
  '''
  
  
  # %%
  Map.setControlVisibility(layerControl=True, fullscreenControl=True, latLngPopup=True)
  Map