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The Shuttle Radar Topography Mission (SRTM) was an international research effort that obtained digital elevation models on a near-global scale.

Burnt Area is a monitoring service showing the full extent of forest fires on a daily basis and over time.

The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that monitors and characterizes Earth’s environment on a global scale. EnMAP delivers accurate data that provides information on the status and evolution of terrestrial and aquatic ecosystems, supporting environmental monitoring, management, and decision-making.

The EOC provides comprehensive information on the structure and composition of forest areas and vegetation.

Further datasets which do not relate to a specific data group.

Global SnowPack is a global service which maps snow cover extent at different temporal scales.

Global WaterPack (GWP) contains information about open surface water coverage at different temporal scales.

IceLines is an automated calving front monitoring service providing monthly ice shelf front time series of major Antarctic ice shelves.

The EOC provides comprehensive information on physical material at the Earth's surface, including vegetation, water, bare ground, and human-made structure for Germany.

The Global Ozone Monitoring Experiment-2 (GOME-2) instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME / ERS-2 and SCIAMACHY / Envisat. Currently, there are three GOME-2 instruments operating on board EUMETSAT's Meteorological Operational satellites MetOp-A, -B and -C, launched in October 2006, September 2012, and November 2018, respectively. GOME-2 can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore, cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2 / MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing.

The Moderate Resolution Imaging Spectroradiometer (MODIS) is a key instrument aboard the American satellites Terra and Aqua.

RapidEye Group

Sentinel-5 is an Earth observation mission from the EU's Copernicus Programme. This group contains several datasets providing information about global measurements of atmospheric properties.

Sentinel-2 is an Earth observation mission from the EU's Copernicus Programme.

The objective of the TanDEM-X mission (TerraSAR-X add-on for Digital Elevation Measurement) is to produce a highly accurate, three-dimensional image of our Earth with uniform quality and unprecedented accuracy.

The World Settlement Footprint Suite is a collection of novel global datasets designed to provide high-resolution and reliable information on the extent of settlement areas.

The Soil Suite is a collection of Earth observation products that describe the properties of the top pedosphere layer.

This is a high-spatial-resolution dataset aggregating cloud-free Landsat 8 and Landsat 9 Land Surface Temperature (LST) data across five consecutive summers (2021–2025). The dataset provides a temporal aggregate of the Landsat Level 2 Collection 2 product provided by the U.S. Geological Survey (USGS), indicating surface thermal patterns across Germany. The dataset includes a supplementary observation count raster, where each pixel value indicates the total number of individual, valid, cloud-free observations contributing to the final aggregated data product.

The product is automatically derived from Aqua/Terra (MODIS) satellite imagery in near-real time. It is an incremental product, meaning that the retrieved results are updated as soon as new input data becomes available over a timespan of ten days. Besides the fire perimeter and detection time, each feature contains information about the severity of the burning.

The product is automatically derived from Sentinel-3 (OLCI) satellite imagery in near-real time. It is an incremental product, meaning that the retrieved results are updated as soon as new input data becomes available over a timespan of ten days. Besides the fire perimeter, and detection time each feature contains information about the severity of the burning.