Tree Canopy Cover Loss Monthly - Landsat-8/Sentinel-2 - Germany, 2018-2021

The product shows tree canopy cover loss in Germany between January 2018 and April 2021 at monthly temporal and 10 m spatial resolution. The basic principle behind this map is to compute monthly composites of the disturbance index (DI, Healey et al. 2005), a spectral index sensitive to forest disturbance, from all available Sentinel-2 and Landsat-8 data with less than 80 % cloud cover. These monthly composites are then compared to a median composite of the DI for 2017, which serves as a reference. After applying a threshold to the difference image, the time series of detected losses is checked for consistency. Only losses recorded continuously in all observations of a pixel until the end of the time series are considered. The dataset does not differentiate between the drivers of the losses. It depicts areas of natural disturbances (windthrow, fire, droughts, insect infestation) as well as sanitation and salvage logging, and regular forest harvest. The full description of the method and results can be found in Thonfeld et al. (2022).

Land cover opendata Forest Canopy Cover Loss Drought Disturbance Index Sentinel-2 Landsat-8 Germany

Links zu den Daten


  • Nutzungseinschränkungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Use Limitations: DLR not liable for damage resulting from use.
  • Nutzungsbedingungen: Lizenz, Terms of use: License,
  • Quellenvermerk: German Aerospace Center (DLR)


EOC Geoservice DLR

Links zu den Metadaten

Bereitgestellt durch

German Aerospace Center (DLR)

Luft- und Raumfahrt
Aktualität der Datensatzbeschreibung


Zeitbezug der Daten

01.01.2018 — 30.04.2021



Raumbezug der Daten

Freie Nutzung


Creative Commons Namensnennung – 4.0 International (CC BY 4.0)