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hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorLIU, Xiangzhuo
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorWIGNERON, J.-P.
hal.structure.identifierLaboratoire d'études en Géophysique et océanographie spatiales [LEGOS]
dc.contributor.authorFRAPPART, Frederic
hal.structure.identifierTerritoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
dc.contributor.authorBAGHDADI, Nicolas
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorZRIBI, Mehrez
dc.contributor.authorJAGDHUBER, Thomas
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorCIAIS, Philippe
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorLI, Xiaojun
dc.contributor.authorWANG, Mengjia
dc.contributor.authorFAN, Lei
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorYGORRA, Bertrand
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorMA, Hongliang
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorXING, Zanpin
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorAL-YAARI, A.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorFERNANDEZ-MORAN, Roberto
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorMOISY, Christophe
dc.date.accessioned2024-04-08T11:49:56Z
dc.date.available2024-04-08T11:49:56Z
dc.date.conference2021-07-11
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195362
dc.description.abstractEnGlobal and long-term vegetation optical depth (VOD) dataset are very useful to monitor the dynamics of the vegetation features, climate and environmental changes. In this study, the radar-based global ASCAT (Advanced SCATterometer) IB (INRAE-BORDEAUX) VOD was retrieved using a model which was recently calibrated over Africa. In order to assess the performance of IB VOD, the Saatchi biomass and three other VOD datasets (ASCAT V16, AMSR2 LPRM V5 and VODCA LPRM V6) derived from C-band observations were used in the comparison. The preliminary results show that IB VOD has a promising ability to predict biomass (R=0.74, RMSE=44.82 Mg ha−1) , which is better than V16 VOD (R=0.64, RMSE=51.27 Mgha−1) and VODCA VOD (R=0.72, RMSE=47.14 Mg ha−1) . Some retrieval issues for IB VOD were found in boreal regions (e.g., Eastern America, Russia). In the future, we will focus on improving our algorithm in those regions, and produce a global and long-term dataset.
dc.language.isoen
dc.publisherIEEE
dc.subject.enBiomedical optical imaging
dc.subject.enRadar Measurement
dc.subject.envegetation mapping
dc.subject.enC-band
dc.subject.enprediction algorithm
dc.subject.enbiomass
dc.subject.enoptical sensor
dc.subject.enremote sensing
dc.title.enFirst Retrievals of ASCAT IB VOD (Vegetation Optical Depth) at Global Scale
dc.typeCommunication dans un congrès
dc.identifier.doi10.1109/IGARSS47720.2021.9553244
dc.subject.halSciences de l'environnement
bordeaux.page6403-6406
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.conference.titleIGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium
bordeaux.countryFR
bordeaux.conference.cityBrussels
bordeaux.peerReviewedoui
hal.identifierhal-03410563
hal.version1
hal.invitednon
hal.proceedingsnon
hal.conference.end2021-07-16
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03410563v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.spage=6403-6406&rft.epage=6403-6406&rft.au=LIU,%20Xiangzhuo&WIGNERON,%20J.-P.&FRAPPART,%20Frederic&BAGHDADI,%20Nicolas&ZRIBI,%20Mehrez&rft.genre=unknown


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