A first assessment of canopy cover loss in Germany's forests after the 2018–2020 drought years
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- Central Europe was hit by several unusually strong periods of drought and heat between 2018 and 2020. These droughts affected forest ecosystems. Cascading effects with bark beetle infestations in spruce stands were fatal to vast forest areas in Germany. We present the first assessment of canopy cover loss in Germany for the period of January 2018–April 2021. Our approach makes use of dense Sentinel-2 and Landsat-8 time-series data. We computed the disturbance index (DI) from the tasseled cap components brightness, greenness, and wetness. UsingCentral Europe was hit by several unusually strong periods of drought and heat between 2018 and 2020. These droughts affected forest ecosystems. Cascading effects with bark beetle infestations in spruce stands were fatal to vast forest areas in Germany. We present the first assessment of canopy cover loss in Germany for the period of January 2018–April 2021. Our approach makes use of dense Sentinel-2 and Landsat-8 time-series data. We computed the disturbance index (DI) from the tasseled cap components brightness, greenness, and wetness. Using quantiles, we generated monthly DI composites and calculated anomalies in a reference period (2017). From the resulting map, we calculated the canopy cover loss statistics for administrative entities. Our results show a canopy cover loss of 501,000 ha for Germany, with large regional differences. The losses were largest in central Germany and reached up to two-thirds of coniferous forest loss in some districts. Our map has high spatial (10 m) and temporal (monthly) resolution and can be updated at any time.…
Autor(en): | Frank Thonfeld, Ursula Gessner, Stefanie Holzwarth, Jennifer Kriese, Emmanuel da Ponte, Juliane Huth, Claudia Kuenzer |
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URN: | urn:nbn:de:bvb:20-opus-255306 |
Dokumentart: | Artikel / Aufsatz in einer Zeitschrift |
Institute der Universität: | Philosophische Fakultät (Histor., philolog., Kultur- und geograph. Wissensch.) / Institut für Geographie und Geologie |
Sprache der Veröffentlichung: | Englisch |
Titel des übergeordneten Werkes / der Zeitschrift (Englisch): | Remote Sensing |
ISSN: | 2072-4292 |
Erscheinungsjahr: | 2022 |
Band / Jahrgang: | 14 |
Heft / Ausgabe: | 3 |
Aufsatznummer: | 562 |
Originalveröffentlichung / Quelle: | Remote Sensing (2022) 14:3, 562. https://doi.org/10.3390/rs14030562 |
DOI: | https://doi.org/10.3390/rs14030562 |
Allgemeine fachliche Zuordnung (DDC-Klassifikation): | 5 Naturwissenschaften und Mathematik / 52 Astronomie / 526 Mathematische Geografie |
5 Naturwissenschaften und Mathematik / 58 Pflanzen (Botanik) / 580 Pflanzen (Botanik) | |
Freie Schlagwort(e): | Landsat-8; Sentinel-2; canopy cover loss; disturbance index; drought; forest; time series |
Datum der Freischaltung: | 26.05.2023 |
Datum der Erstveröffentlichung: | 25.01.2022 |
Lizenz (Deutsch): | CC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International |