The Earth Engine API provides Python and JavaScript client libraries for Google Earth Engine, a planetary-scale geospatial analysis platform. With it, users compose lazy, server-side computations over massive catalogs of satellite imagery and vector datasets without handling raw files locally. The API exposes functional operators for map algebra, reducers, joins, and machine learning that scale transparently on Earth Engine’s backend. Developers authenticate once, work interactively in notebooks or the Code Editor, and export results to Cloud Storage, Drive, or asset collections. Visualization helpers render tiled layers and charts so analysts can iterate quickly on workflows like land-cover mapping, change detection, or time-series analysis. By combining petabyte-scale data with concise functional transforms, the API turns complex remote-sensing pipelines into reproducible scripts that are easy to share.
Features
- Python and JavaScript clients for server-side geospatial computation
- Access to petabyte-scale raster and vector public datasets
- Functional operators for reducers, joins, and map algebra
- Notebook and Code Editor integration with interactive visualization
- Export pipelines to Drive, Cloud Storage, and asset catalogs
- Built-in ML primitives for classification and regression at scale