Datasets tagged google in Earth Engine

  • Cloud Score+ is a quality assessment processor for medium-to-high resolution optical satellite imagery used to identify clear pixels and remove clouds.

  • Dynamic World is a 10m near-real-time Land Use/Land Cover dataset with class probabilities and label information for nine classes, available for Sentinel-2 L1C.

  • The Google Global Landsat-based CCDC Segments collection provides precomputed results of the Continuous Change Detection and Classification algorithm on 20 years of Landsat data.

  • JRC Global Surface Water Mapping Layers (v1.4 and deprecated v1.2), Metadata (v1.4), Monthly History (v1.4), Monthly Recurrence (v1.4), and Yearly Classification History (v1.4) datasets contain maps and statistics on surface water location and temporal distribution.

  • The Murray Global Intertidal Change Dataset provides global maps of tidal flat ecosystems classified from Landsat images.

  • The Google Satellite Embedding dataset is a global collection of learned geospatial embeddings representing temporal trajectories of surface conditions.

  • WRI/Google DeepMind Global Drivers of Forest Loss datasets (v1.0, v1.1, v1.2) map the dominant driver of tree cover loss globally at 1 km resolution.