Articles | Volume 17, issue 6
https://doi.org/10.5194/essd-17-2373-2025
https://doi.org/10.5194/essd-17-2373-2025
Data description paper
 | 
05 Jun 2025
Data description paper |  | 05 Jun 2025

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

Alba Viana-Soto and Cornelius Senf

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Natural disturbances increasingly affect Europe’s most mature and carbon-rich forests
Simon Besnard, Alba Viana-Soto, Henrik Hartmann, Marco Patacca, Viola H. A. Heinrich, Katja Kowalski, Maurizio Santoro, Wanda De Keersmaecker, Ruben Van De Kerchove, Martin Herold, and Cornelius Senf
EGUsphere, https://doi.org/10.5194/egusphere-2025-6288,https://doi.org/10.5194/egusphere-2025-6288, 2025
This preprint is open for discussion and under review for Biogeosciences (BG).
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Cited articles

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Baig, M. H. A., Zhang, L., Shuai, T., and Tong, Q.: Derivation of a tasselled cap transformation based on Landsat 8 at-satellite reflectance, Remote Sens. Lett., 5, 423–431, https://doi.org/10.1080/2150704X.2014.915434, 2014. 
Banskota, A., Kayastha, N., Falkowski, M. J., Wulder, M. A., Froese, R. E., and White, J. C.: Forest Monitoring Using Landsat Time Series Data: A Review, Can. J. Remote Sens., 40, 362–384, https://doi.org/10.1080/07038992.2014.987376, 2014. 
Belgiu, M. and Drãguþ, L.: Random forest in remote sensing: A review of applications and future directions, ISPRS J. Photogramm. Remote Sens., 114, 24–31, https://doi.org/10.1016/j.isprsjprs.2016.01.011, 2016. 
Breidenbach, J., Ellison, D., Petersson, H., Korhonen, K. T., Henttonen, H. M., Wallerman, J., Fridman, J., Gobakken, T., Astrup, R., and Næsset, E.: Harvested area did not increase abruptly – how advancements in satellite-based mapping led to erroneous conclusions, Ann. For. Sci., 79, 2, https://doi.org/10.1186/s13595-022-01120-4, 2022. 
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Short summary
Europe's forests are undergoing complex changes in response to increasing disturbances driven by climate and land use changes. Here, we present the European Forest Disturbance Atlas, a satellite-based approach for mapping annual forest disturbances across continental Europe from 1985 onwards. Maps provide insights into the year of disturbance occurrence, the actual frequency of disturbances, severity and the underlying causal agent, thus contributing to a future monitoring system envisioned for Europe.
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