Sentinel-1 Disturbance Map

This is the Sentinel-1 forest disturbance mapping (S1DM) dataset, created to provide high-precision spatial and temporal information on disturbances such as wind, fire, and insect outbreaks. It is based on the Insect and Disease Survey (IDS) of the United States Department of Agriculture (USDA), a unique historical dataset with extensive detail, temporal coverage, and spatial extent. The dataset presented here refines a case study from the southeastern United States, corresponding to USDA Forest Service Region 8. The IDS data were enhanced using Sentinel-1 SAR observations from the European Space Agency (ESA). A change-detection algorithm was applied to identify structural changes in forests, which were then integrated with the IDS to improve spatial accuracy. This dataset is the outcome of a research project. By combining historical survey data with modern satellite observations, it allows the use of this valuable dataset with modern learning methods that require high data accuracy to be effective.The paper describing the methodology of this dataset: Müller, F., Eifler, L., Cremer, F., Beck, P., Camps-Valls, G., and Bastos, A.: Hybrid forest disturbance classification using Sentinel-1 and inventory data: a case-study for Southeastern USA, Nat. Hazards Earth Syst. Sci., 26, 2785–2815, https://doi.org/10.5194/nhess-26-2785-2026, 2026.