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Forest Canopy Cover Loss Dynamics in Germany between 2017 and 2024: Revealing Regional Differences

Thonfeld, Frank und Kacic, Patrick und Holzwarth, Stefanie und Wegler, Marco und Asam, Sarah und Kuenzer, Claudia (2026) Forest Canopy Cover Loss Dynamics in Germany between 2017 and 2024: Revealing Regional Differences. International Journal of Applied Earth Observation and Geoinformation, 146, Seiten 1-15. Elsevier. doi: 10.1016/j.jag.2026.105157. ISSN 1569-8432.

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From 2018 onwards, multiple droughts and heatwaves hit Central Europe including Germany. These triggered, together with other disturbance drivers, unprecedented damages to forests. While annual field-based crown defoliation surveys provide valuable insights into overall forest condition in Germany, continuous spatio-temporal dynamics are not explicitly addressed in current monitoring practices. Here, we present a forest canopy cover loss (FCCL) assessment in Germany at monthly resolution between September 2017 and September 2024 based on Sentinel-2 and Landsat satellite time series. This approach enables near-continuous monitoring of forest disturbance dynamics across spatial and temporal scales. Our results reveal that a strip in central Germany was most affected. Storm events in late 2017 and early 2018 caused the first large-scale canopy losses, while drought- and heat-related disturbances, including bark beetle outbreaks in spruce forests, dominated in 2019 and 2020. FCCL rates generally declined after 2020. We recorded a total of 924,000 ha FCCL over the seven-year period (8.4% of Germany’s forest area), 84.5 % of which were found in coniferous forests. At district and municipality level, we detected FCCL of up to more than 50 %. Two-thirds of FCCL were recorded during winter (November-April), underscoring the importance of off-season monitoring. This study demonstrates the value of dense, multi-sensor satellite time series for operational forest monitoring. It highlights regions with high future disturbance potential, particularly in southern and southeastern Germany due to their high share of spruce forests. Future monitoring should integrate seasonal data and early-warning systems to improve adaptive forest management at national scale.

elib-URL des Eintrags:https://elib.dlr.de/219249/
Dokumentart:Zeitschriftenbeitrag
Titel:Forest Canopy Cover Loss Dynamics in Germany between 2017 and 2024: Revealing Regional Differences
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Thonfeld, FrankFrank.Thonfeld (at) dlr.dehttps://orcid.org/0000-0002-3371-7206207449011
Kacic, PatrickPatrick.Kacic (at) dlr.dehttps://orcid.org/0000-0002-4538-8286207449012
Holzwarth, StefanieStefanie.Holzwarth (at) dlr.dehttps://orcid.org/0000-0001-7364-7006NICHT SPEZIFIZIERT
Wegler, Marcomarco.wegler (at) dlr.dehttps://orcid.org/0009-0003-5434-5813207449013
Asam, Sarahsarah.asam (at) dlr.dehttps://orcid.org/0000-0002-7302-6813NICHT SPEZIFIZIERT
Kuenzer, Claudiaclaudia.kuenzer (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:Februar 2026
Erschienen in:International Journal of Applied Earth Observation and Geoinformation
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:146
DOI:10.1016/j.jag.2026.105157
Seitenbereich:Seiten 1-15
Verlag:Elsevier
ISSN:1569-8432
Status:veröffentlicht
Stichwörter:time series, remote sensing, disturbance, drought, harvest, Sentinel, Landsat
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Fernerkundung u. Geoforschung
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Dynamik der Landoberfläche
Hinterlegt von: Thonfeld, Dr. Frank
Hinterlegt am:19 Nov 2025 11:33
Letzte Änderung:05 Mär 2026 09:49

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