Develop, access and run algorithms on the full Earth Engine data archive, all using Google's parallel processing platform.
Access to Earth Engine is currently available as a limited release to a small group of partners. If you are interested in developing on the Earth Engine platform, let us know.
Google Earth Engine brings together the world's satellite imagery — trillions of scientific measurements dating back over 40 years — and makes it available online with tools for scientists, independent researchers, and nations to mine this massive warehouse of data to detect changes, map trends and quantify differences on the Earth's surface. Applications include: detecting deforestation, classifying land cover, estimating forest biomass and carbon, and mapping the world’s roadless areas.
To learn more, view product videos and the Featured Gallery (below). Or visit the Data Catalog to explore our archive of satellite imagery. Certain features (such as data download) are restricted to members of our trusted tester program.
New! In a collaboration led by Dr. Matthew Hansen at the University of Maryland, we’ve produced the first 30 meter resolution maps of global forest change, from 2000-2012. This work, which was published in Science on November 15th, used Earth Engine to analyze over 650,000 Landsat 7 scenes, required one million CPU hours, but thanks to parallel processing, took only a few days. For more information, please visit the Google Research Blog, the Google Lat Long Blog, and the Science paper itself.
Explore different views into this global timelapse built from global, annual composites of Landsat satellite images. Watch change across the planet's surface beginning as early as 1984.
We have precomputed a number of interesting datasets using the Earth Engine platform, below. Click on each to learn more and preview the data as a global timelapse or as a layer in a Google Earth client.
We are continually adding new datasets and updating existing datasets with new data as it becomes available.
Would you like to contribute data to the Earth Engine catalog? Contact our data team.