Landsat In Action

Google Powers Platform for Earth Science Data and Analysis

Google Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities, and makes the data available for scientific analysis and visualization of geospatial datasets to detect changes, map trends, and quantify differences on the Earth's surface.

Earth Engine stores and organizes satellite imagery and makes it available for global-scale data mining. The public data archive includes historical Earth imagery going back more than 40 years, and new imagery is collected every day. Earth Engine also provides APIs in JavaScript and Python, as well as other tools, to enable the analysis of large datasets.

Google Earth Engine’s Timelapse allows easy observations to understand and appreciate how various events and decisions for growth impact the Earth’s surface over the past 32 years.  A number of areas of the world are available for selection to quickly and easily see the changes on the Earth’s surface.

Google Earth Engine’s Timelapse Viewer

The Landsat Program provides over 40 years of calibrated medium spatial resolution data in support of a range of applications in areas such as global change research, agriculture, forestry, geology, land cover mapping, resource management, and water and coastal studies - to name a few. Below are some examples of regional and global Landsat data applications that can assist policy makers and land managers in making informative decisions about our environment and Earth resources.