Notebook

Install Earth Engine API and geemap¶

Install the Earth Engine Python API and geemap. The geemap Python package is built upon the ipyleaflet and folium packages and implements several methods for interacting with Earth Engine data layers, such as Map.addLayer(), Map.setCenter(), and Map.centerObject(). The following script checks if the geemap package has been installed. If not, it will install geemap, which automatically installs its dependencies, including earthengine-api, folium, and ipyleaflet.

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# Installs geemap package
import subprocess

try:
    import geemap
except ImportError:
    print('Installing geemap ...')
    subprocess.check_call(["python", '-m', 'pip', 'install', 'geemap'])

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import ee
import geemap

Create an interactive map¶

The default basemap is Google Maps. Additional basemaps can be added using the Map.add_basemap() function.

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Map = geemap.Map(center=[40,-100], zoom=4)
Map

Add Earth Engine Python script¶

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# Add Earth Engine dataset
# NormalizedDifference example.
#
# Compute Normalized Difference Vegetation Index over MOD09GA product.
# NDVI = (NIR - RED) / (NIR + RED), where
# RED is sur_refl_b01, 620-670nm
# NIR is sur_refl_b02, 841-876nm

# Load a MODIS image.
img = ee.Image('MODIS/006/MOD09GA/2012_03_09')

# Use the normalizedDifference(A, B) to compute (A - B) / (A + B)
ndvi = img.normalizedDifference(['sur_refl_b02', 'sur_refl_b01'])

# Make a 'palette': a list of hex strings.
palette = ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718',
               '74A901', '66A000', '529400', '3E8601', '207401', '056201',
               '004C00', '023B01', '012E01', '011D01', '011301']

# Center the map
Map.setCenter(-94.84497, 39.01918, 8)

# Display the input image and the NDVI derived from it.
Map.addLayer(img.select(['sur_refl_b01', 'sur_refl_b04', 'sur_refl_b03']),
         {'gain': [0.1, 0.1, 0.1]}, 'MODIS bands 1/4/3')
Map.addLayer(ndvi, {'min': 0, 'max': 1, 'palette': palette}, 'NDVI')

Display Earth Engine data layers¶

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Map.addLayerControl() # This line is not needed for ipyleaflet-based Map.
Map