Google Earth Engine

Platform

Satellite imagery analysis on Google's servers over Landsat, Sentinel and MODIS

Price: Free noncommercial; commercial per use
Access: Registered Google Cloud project

About

Earth Engine is Google's geospatial platform with a multi-petabyte catalog of Landsat, Sentinel, MODIS and other datasets. Compute NDVI, time series and zonal statistics on Google's servers from Python, JavaScript or REST, then export results. Free for verified noncommercial use; commercial is paid.

What you can do with it

Compute NDVI and vegetation time series for any area on Google's servers
Analyze Landsat and Sentinel archives for land cover or deforestation change
Export satellite images or region statistics to Drive or Cloud Storage

Get started

Register a Google Cloud project for Earth Engine
Choose verified noncommercial use or a paid commercial plan
Run pip install earthengine-api, then ee.Initialize(project=...)

Example

import ee

ee.Authenticate()
ee.Initialize(project="my-project")

field = ee.Geometry.Point(5.12, 52.09).buffer(500)
image = (ee.ImageCollection("COPERNICUS/S2_SR_HARMONIZED")
         .filterBounds(field).filterDate("2026-06-01", "2026-09-01")
         .sort("CLOUDY_PIXEL_PERCENTAGE").first())
ndvi = image.normalizedDifference(["B8", "B4"])
print(ndvi.reduceRegion(ee.Reducer.mean(), field, 10).getInfo())

Details

Hosting: Hosted service
Available in: Worldwide
Official SDKs: Python, JavaScript/TypeScript
MCP server: None
Works with: Google Cloud, Google Drive