Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.3390/rs14215468
Lizenz creative commons licence
Titel (primär) Retrieval of high-resolution vegetation optical depth from Sentinel-1 data over a grassland region in the Heihe River Basin
Autor Zhou, Z.; Fang, L.; De Lannoy, G.; Liu, X.; Peng, J. ORCID logo ; Bai, X.; Frappart, F.; Baghdadi, N.; Xing, Z.; Li, M.; Ma, M.; Li, X.; Che, T.; Geng, L.; Wigneron, J.-P.
Quelle Remote Sensing
Erscheinungsjahr 2022
Department RS
Band/Volume 14
Heft 21
Seite von art. 5468
Sprache englisch
Topic T5 Future Landscapes
Supplements https://www.mdpi.com/2072-4292/14/21/5468/s1?version=1667140771
Keywords vegetation optical depth (VOD); Sentinel-1; grassland; C-band
Abstract Vegetation optical depth (VOD), as a microwave-based estimate of vegetation water and biomass content, is increasingly used to study the impact of global climate and environmental changes on vegetation. However, current global operational VOD products have a coarse spatial resolution (~25 km), which limits their use for agriculture management and vegetation dynamics monitoring at regional scales (1–5 km). This study aims to retrieve high-resolution VOD from the C-band Sentinel-1 backscatter data over a grassland of the Heihe River Basin in northwestern China. The proposed approach used an analytical solution of a simplified Water Cloud Model (WCM), constrained by given soil moisture estimates, to invert VOD over grassland with 1 km spatial resolution during the 2018–2020 period. Our results showed that the VOD estimates exhibited large spatial variability and strong seasonal variations. Furthermore, the dynamics of VOD estimates agreed well with optical vegetation indices, i.e., the mean temporal correlations with normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), and leaf area index (LAI) were 0.76, 0.75, and 0.75, respectively, suggesting that the VOD retrievals could precisely capture the dynamics of grassland.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=26808
Zhou, Z., Fang, L., De Lannoy, G., Liu, X., Peng, J., Bai, X., Frappart, F., Baghdadi, N., Xing, Z., Li, M., Ma, M., Li, X., Che, T., Geng, L., Wigneron, J.-P. (2022):
Retrieval of high-resolution vegetation optical depth from Sentinel-1 data over a grassland region in the Heihe River Basin
Remote Sens. 14 (21), art. 5468 10.3390/rs14215468