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Retrieval of High-Resolution Vegetation Optical Depth from Sentinel-1 Data over a Grassland Region in the Heihe River Basin

hal.structure.identifierSouthwest University [Chongqing]
dc.contributor.authorZHOU, Zhilan
hal.structure.identifierSouthwest University [Chongqing]
dc.contributor.authorFAN, Lei
hal.structure.identifierCatholic University of Leuven = Katholieke Universiteit Leuven [KU Leuven]
dc.contributor.authorDE LANNOY, Gabrielle
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
hal.structure.identifierLeipzig University / Universität Leipzig
dc.contributor.authorLIU, Xiangzhuo
hal.structure.identifierHelmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research [UFZ]
hal.structure.identifierLeipzig University / Universität Leipzig
dc.contributor.authorPENG, Jian
hal.structure.identifierNanjing University [NJU]
dc.contributor.authorBAI, Xiaojing
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorFRAPPART, Frédéric
hal.structure.identifierTerritoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
dc.contributor.authorBAGHDADI, Nicolas
hal.structure.identifierUniversity of Chinese Academy of Sciences [Beijing] [UCAS]
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
dc.contributor.authorXING, Zanpin
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorLI, Xiaojun
hal.structure.identifierSouthwest University [Chongqing]
dc.contributor.authorMA, Mingguo
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
dc.contributor.authorLI, Xin
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
dc.contributor.authorCHE, Tao
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
dc.contributor.authorGENG, Liying
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorWIGNERON, Jean-Pierre
dc.date.accessioned2024-04-08T11:45:31Z
dc.date.available2024-04-08T11:45:31Z
dc.date.issued2022-11
dc.identifier.issn2072-4292
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195197
dc.description.abstractEnVegetation 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.
dc.language.isoen
dc.publisherMDPI
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.envegetation optical depth (VOD)
dc.subject.enSentinel-1
dc.subject.engrassland
dc.subject.enC-band
dc.title.enRetrieval of High-Resolution Vegetation Optical Depth from Sentinel-1 Data over a Grassland Region in the Heihe River Basin
dc.typeArticle de revue
dc.identifier.doi10.3390/rs14215468
dc.subject.halSciences de l'environnement
bordeaux.journalRemote Sensing
bordeaux.page5468
bordeaux.volume14
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue21
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-03877849
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03877849v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote%20Sensing&rft.date=2022-11&rft.volume=14&rft.issue=21&rft.spage=5468&rft.epage=5468&rft.eissn=2072-4292&rft.issn=2072-4292&rft.au=ZHOU,%20Zhilan&FAN,%20Lei&DE%20LANNOY,%20Gabrielle&LIU,%20Xiangzhuo&PENG,%20Jian&rft.genre=article


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