The Earth Engine data catalog contains a wide variety of popular, curated datasets, including the world's largest online collection of Landsat scenes (> 2.0M), numerous MODIS collections, and many other raster and vector data sets. In order to facilitate multi-source analysis, the platform provides a uniform access mechanism to a variety of raster data types, independent of their bands, projection, bit-depth, and resolution.
Using a just-in-time, distributed computation model, Earth Engine can rapidly process enormous quantities of geo-spatial data. All computation is performed lazily; nothing is computed until it's required either for output or as input to another step. This model allows real-time feedback and preview during algorithm development, which supports rapid algorithm development, testing, and improvement cycle that scales seamlessly to large-scale production data processing.
Through integration with a variety of other services, Earth Engine is able to bring to bear considerable analytic and technical firepower in a transparent fashion, including: AI-based classification via integration with Google's machine learning infrastructure, publishing and distribution at Google scale through integration with the Google Maps API, Maps Engine and Google Earth.