The ForstEO project (The use of Earth Observation to detect climate-related forest disturbances in Germany) is funded by the German Federal Ministry of Food and Agriculture (BMEL) and the German Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection (BMUV) through the Forest Climate Fund. The goal of the project is to derive and provide high-quality and robust information products using remote sensing tools to support the further development of national forest monitoring systems.
In the project, the DFD cooperates with the forest research institutes of the German federal states of Bavaria and Thuringia as well as with associated partners working for Baden-Württemberg, Hesse, Lower Saxony, Saxony-Anhalt and Schleswig-Holstein. The area of responsibility of the cooperation partners from the federal states covers almost two thirds of the forest area of Germany and thus allows for investigations at regional and national scale. Using machine learning methods, forest disturbances are recorded at short time intervals, assigned to specific drivers taking into account meteorological, forest climatic and other data, and examined in more detail with a focus on disturbances in deciduous forests.
DFD coordinates the ForstEO project and is focusing on the further development of methods for detecting forest disturbances. For this purpose, time series from optical satellite data (including Sentinel-2A/B, Landsat-8/9) are evaluated to identify clear-cut areas and standing dead trees (see figure) as well as anomalies in intact stands.