10m Annual Land Use Land Cover (9-class)
The 10m Annual Land Use Land Cover (9-class) dataset is a global map produced by Impact Observatory, Microsoft, and Esri. It provides a year-by-year snapshot of global land cover at a 10-meter resolution, derived from ESA Sentinel-2 imagery using a deep learning AI model.
CNES Land Cover Map
The CNES Land Cover Map (Occupation des Sols, OSO) produces land classification for Metropolitan France at a 10m spatial resolution. It is based on Sentinel-2 L2A data processed within the Theia Land Cover CES framework. The map is generated automatically using the iota² processing chain, which employs a Random Forest classifier calibrated with extensive national vector data (such as BD TOPO and Corine Land Cover).
Digital Elevation Model (DEM)
A DEM is a digital model or 3D\ representation of a terrain's surface. With a DEM you are able to obtain and analyze heights within your area of interest, and integrate the data in 3D applications. The data can also be used for the orthorectification of satellite imagery (for example, Sentinel 1). Browser supports Mapzen's DEM, available through Amazon Web Services (AWS) through EU-Central-1 and US-West-2 regions, and Copernicus DEM*, available through AWS EU-Central-1 region.
Digital Elevation Model (DEM) Examples
Explore the CURL examples of Processing API requests for a digital elevation model (DEM).
ESA WorldCover
The ESA WorldCover product provides global land cover maps for 2020 and 2021. By combining the strengths of both Sentinel-1 (SAR) and Sentinel-2 (optical), it achieves a more consistent global result than optical-only products. The 2020 version (v100) and 2021 version (v200) use slightly different algorithms, so users should exercise caution when performing direct change detection between the two years.
Harmonized Landsat Sentinel
Use Processing API to access Harmonized Landsat Sentinel data with 13 optical and 2 thermal bands.
Harmonized Landsat Sentinel Examples
Processing API request examples for Harmonized Landsat Sentinel (HLS) data.
Landsat 4-5 TM L1 & L2
Use Processing API to access Landsat 4–5 Thematic Mapper (TM) Level 1 and Level 2 data, including optical, thermal, and surface reflectance products.
Landsat 4-5 TM L1 & L2 Examples
Processing API request examples for Landsat 4-5 TM L1 & L2 data.
Landsat 7 ETM+ L1 & L2
Use Processing API to access Landsat 7 Enhanced Thematic Mapper Plus (ETM+) Level 1 and Level 2 data, including optical, thermal, and surface reflectance products.
Landsat 7 ETM+ L1 & L2 Examples
Processing API request examples for Landsat 7 ETM+ L1 & L2 data.
Landsat 8-9 L1 & L2
Use Processing API to access Landsat 8–9 Level 1 and Level 2 data, including optical, thermal, and surface reflectance products.
Landsat 8-9 L1 & L2 Examples
Processing API request examples for Landsat 8–9 Level 1 & Level 2 data
Sentinel 1 GRD
Use Processing API to access Sentinel-1 (C-band synthetic aperture radar imaging) data.
Sentinel 1 GRD Examples
Example Processing API requests for Sentinel-1 GRD SAR data outputs (PNG and GeoTIFF).
Sentinel 2 L1C & L2A
Use Processing API to access Sentinel-2 data.
Sentinel 2 L1C & L2A Examples
Use the Processing API to request Sentinel-2 L1C and L2A imagery.
Sentinel-2 L2A 120m Mosaic
The Sentinel-2 L2A 120m mosaic is a derived product that provides the "best pixel" values for 10-daily periods. It is modeled by removing cloudy pixels and performing linear interpolation among the remaining valid observations. While designed to be cloud-free, some clouds may remain in regions with persistent, lengthy cloudy periods.