The European Forest Disturbance Atlas: a forest disturbance monitoring system using the Landsat archive

Abstract. Forests in Europe are undergoing complex changes that require a comprehensive monitoring of disturbance occurrence. Here, we present the European Forest Disturbance Atlas (EFDA), a Landsat-based approach for mapping annual forest disturbances across continental Europe from 1985 onwards. We built a consistent Landsat data cube of summer composites and compiled reference data on forest land use and forest disturbances. A classification-based approach was developed to detect forest disturbances annually, therefore accounting for multiple disturbance events per time series. The EFDA contains annual layers on disturbance occurrence, severity, and agent, as well as aggregated layers on the number of disturbances and the latest and greatest disturbance year. Based on the annual disturbance estimates (1985–2023), we quantified a total forest disturbed area of 439 000 km2, which increases to 610 000 km2 when accounting for multiple overlapping disturbance events. Map accuracies of the disturbance classification showed an overall F1 score of 0.89, with very low errors (<1 %) for the undisturbed class and with commission and omission errors for the disturbed class of 17.3 % and 22.5 %, respectively. Further, temporal validation revealed that errors decreased over time, with commission errors decreasing substantially to 10.6 % after the year 2000. We designed and implemented our workflow to create annual forest disturbance maps for easy updating when new data arrive and in an open-access framework to facilitate reproducibility, thus paving the road for an operational forest disturbance system in Europe. EFDA products are available at https://doi.org/10.5281/zenodo.13333034 (Viana-Soto and Senf, 2024).

• Publication year

  2025

• Venue

  Earth System Science Data

• Publication date

  2025-06-05

• Fields of study

  Not labeled

• Identifiers
  DOI 10.5194/essd-17-2373-2025
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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