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Get Started

This Get Started guide is intended as a quick way to start programming with eefolium and the Earth Engine Python API.

Launch Jupyter notebook

conda activate gee
jupyter notebook

Import libraries

import ee
import eefolium

Create an interactive map

Map = eefolium.Map(center=(40, -100), zoom=4)
Map

Add Earth Engine data

# Add Earth Engine dataset
dem = ee.Image('USGS/SRTMGL1_003')
landcover = ee.Image("ESA/GLOBCOVER_L4_200901_200912_V2_3").select('landcover')
landsat7 = ee.Image('LE7_TOA_5YEAR/1999_2003')
states = ee.FeatureCollection("TIGER/2018/States")

Set visualization parameters

dem_vis = {
'min': 0,
'max': 4000,
'palette': ['006633', 'E5FFCC', '662A00', 'D8D8D8', 'F5F5F5']}

landsat_vis = {
    'min': 20,
    'max': 200,
    'bands': ['B4', 'B3', 'B2']
}

Display data on the map

Map.addLayer(dem, dem_vis, 'STRM DEM', True, 0.5)
Map.addLayer(landcover, {}, 'Land cover')
Map.addLayer(landsat7, landsat_vis, 'Landsat 7')
Map.addLayer(states, {}, "US States")

Interact with the map

Once data are added to the map, you can interact with data using vairous tools, such as the drawing tools, inspector tool, plotting tool. Check the video below on how to use the Inspector tool to query Earth Engine interactively.

eefolium

Last update: 2020-12-08