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  Sensitivity of Sentinel-1 Backscatter to Management-Related Disturbances in Temperate Forests

van der Woude, S., Reiche, J., Sterck, F., Nabuurs, G.-J., Vos, M., Herold, M. (2024): Sensitivity of Sentinel-1 Backscatter to Management-Related Disturbances in Temperate Forests. - Remote Sensing, 16, 9, 1553.
https://doi.org/10.3390/rs16091553

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van der Woude, Sietse1, Autor
Reiche, Johannes1, Autor
Sterck, Frank1, Autor
Nabuurs, Gert-Jan1, Autor
Vos, Marleen1, Autor
Herold, Martin2, Autor              
Affiliations:
1External Organizations, ou_persistent22              
21.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146028              

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Schlagwörter: Sentinel-1; C-band; forest disturbance; low-intensity; temperate; monitoring
 Zusammenfassung: The rapid and accurate detection of forest disturbances in temperate forests has become increasingly crucial as policy demands and climate pressure on these forests rise. The cloud-penetrating Sentinel-1 radar constellation provides frequent and high-resolution observations with global coverage, but few studies have assessed its potential for mapping disturbances in temperate forests. This study investigated the sensitivity of temporally dense C-band backscatter data from Sentinel-1 to varying management-related disturbance intensities in temperate forests, and the influence of confounding factors such as radar backscatter signal seasonality, shadow, and layover on the radar backscatter signal at a pixel level. A unique network of 14 experimental sites in the Netherlands was used in which trees were removed to simulate different levels of management-related forest disturbances across a range of representative temperate forest species. Results from six years (2016–2022) of Sentinel-1 observations indicated that backscatter seasonality is dependent on species phenology and degree of canopy cover. The backscatter change magnitude was sensitive to medium- and high-severity disturbances, with radar layover having a stronger impact on the backscatter disturbance signal than radar shadow. Combining ascending and descending orbits and complementing polarizations compared to a single orbit or polarization was found to result in a 34% mean increase in disturbance detection sensitivity across all disturbance severities. This study underlines the importance of linking high-quality experimental ground-based data to dense satellite time series to improve future forest disturbance mapping. It suggests a key role for C-band backscatter time series in the rapid and accurate large-area monitoring of temperate forests and, in particular, the disturbances imposed by logging practices or tree mortality driven by climate change factors.

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 Datum: 2024-04-272024
 Publikationsstatus: Final veröffentlicht
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 Identifikatoren: DOI: 10.3390/rs16091553
GFZPOF: p4 T5 Future Landscapes
GFZPOFCCA: p4 CARF RemSens
OATYPE: Gold Open Access
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Titel: Remote Sensing
Genre der Quelle: Zeitschrift, SCI, Scopus, OA
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Seiten: - Band / Heft: 16 (9) Artikelnummer: 1553 Start- / Endseite: - Identifikator: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/journals426
Publisher: MDPI