Tree Canopy Cover Loss
This dataset provides district-level (Landkreis) statistics on tree canopy cover loss across Germany between January 2018 and April 2021, aggregated monthly from a 10 m resolution Sentinel-2 and Landsat-8 based raster product. Methodology and mapping results are documented in Thonfeld et al. (2022). It captures losses from natural disturbances such as windthrow, fire, drought, and insect infestation, alongside sanitation, salvage, and regular forest harvest, without distinguishing between causes. Vector files report canopy loss area by forest type (deciduous, coniferous, mixed) and by year, in absolute and percentage terms, together with total district area and forest area per district.The product contains information of tree canopy cover loss in Germany per district (Landkreis) between January 2018 and April 2021 at monthly temporal resolution. The information is aggregated at from the 10 m spatial resolution Sentinel-2 and Landsat-based raster product (Tree Canopy Cover Loss Monthly - Landsat-8/Sentinel-2 - Germany, 2018-2021). The method used to derive this product as well as the mapping results are described in detail in Thonfeld et al. (2022). The map depicts areas of natural disturbances (windthrow, fire, droughts, insect infestation) as well as sanitation and salvage logging, and regular forest harvest without explicitly differentiating these drivers. The vector files contain information about tree canopy cover loss area per forest type (deciduous, coniferous, both) and per year (2018, 2019, 2020, January-April 2021, and January 2018-April 2021) in absolute numbers and in percentages. In addition, the vector files contain the district area and the total forest area per district.
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How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data access
This entry links to a dataset, file download, or documentation page rather than a self-describing API, so there's no field schema to display.