A planetary-scale platform for Earth science data & analysis
Earth Engine's public data archive includes more than forty years of historical imagery and scientific datasets, updated and expanded daily.
- Google Earth lets you fly anywhere on Earth to view satellite imagery, maps, terrain and 3D buildings, from galaxies in outer space to the canyons of the ocean. You can explore rich geographical content, save your toured places and share with others.
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- Scientific notation is a way to express numbers in a form that makes numbers that are too small or too large more convenient to write. It is commonly used in mathematics, engineering, and science, as it can help simplify arithmetic operations. In scientific notation, numbers are written as a base, b, referred to as the significand, multiplied.
Google Earth for Mac is a geographical browser that uses aerial and satellite imagery as well as data available on the internet to create a three-dimensional representation of planet Earth. Using the program audiences across the globe can zoom in and explore countries, cities, and landmarks from different angles.
Surface Temperature
Thermal satellite sensors can provide surface temperature and emissivity information. The Earth Engine data catalog includes both land and sea surface temperature products derived from several spacecraft sensors, including MODIS, ASTER, and AVHRR, in addition to raw Landsat thermal data.
Climate
Climate models generate both long-term climate predictions and historical interpolations of surface variables. The Earth Engine catalog includes historical reanalysis data from NCEP/NCAR, gridded meteorological datasets like NLDAS-2, and GridMET, and climate model outputs like the University of Idaho MACAv2-METDATA and the NASA Earth Exchange’s Downscaled Climate Projections.
Atmospheric
You can use atmospheric data to help correct image data from other sensors, or you can study it in its own right. The Earth Engine catalog includes atmospheric datasets such as ozone data from NASA's TOMS and OMI instruments and the MODIS Monthly Gridded Atmospheric Product.
Weather
Weather datasets describe forecasted and measured conditions over short periods of time, including precipitation, temperature, humidity, and wind, and other variables. Earth Engine includes forecast data from NOAA's Global Forecast System (GFS) and the NCEP Climate Forecast System (CFSv2), as well as sensor data from sources like the Tropical Rainfall Measuring Mission (TRMM).
Landsat
Landsat, a joint program of the USGS and NASA, has been observing the Earth continuously from 1972 through the present day. Today the Landsat satellites image the entire Earth's surface at a 30-meter resolution about once every two weeks, including multispectral and thermal data.
Sentinel
The Copernicus Program is an ambitious initiative headed by the European Commission in partnership with the European Space Agency (ESA). The Sentinels include all-weather radar images from Sentinel-1A and -1B, high-resolution optical images from Sentinel 2A and 2B, as well as ocean and land data suitable for environmental and climate monitoring from Sentinel 3.
MODIS
The Moderate Resolution Imaging Spectroradiometer (MODIS) sensors on NASA's Terra and Aqua satellites have been acquiring images of the Earth daily since 1999, including daily imagery, 16-day BRDF-adjusted surface reflectance, and derived products such as vegetation indices and snow cover.
High-Resolution Imagery
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High-resolution imagery captures the finer details of landscapes and urban environments. The US National Agriculture Imagery Program (NAIP) offers aerial image data of the US at one-meter resolution, including nearly complete coverage every several years since 2003.
Terrain
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Digital Elevation Models (DEMs) describe the shape of Earth’s terrain. The Earth Engine data catalog contains several global DEMs such as Shuttle Radar Topography Mission (SRTM) data at 30-meter resolution, regional DEMs at higher resolutions, and derived products such as the WWF's HydroSHEDS hydrology database.
Land Cover
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Land cover maps describe the physical landscape in terms of land cover classes such as forest, grassland, and water. Earth Engine includes a wide variety land cover datasets, including global products such as NASA's MODIS-derived annual land cover maps and ESA's GlobCover, as well as higher-resolution national products such as the USGS National Land Cover Database.
Cropland
Cropland data is key to understanding global water consumption and agricultural production. Earth Engine includes a number of cropland data products such as the USDA NASS Cropland Data Layers, as well as layers from the Global Food Security-Support Analysis Data (GFSAD) including cropland extent, crop dominance, and watering sources.
Other geophysical data
Data from other satellite image sensors is available in Earth Engine as well, including night-time imagery from the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS), which has collected imagery of night-time lights at approximately 1-kilometer resolution continuously since 1992.