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hal.structure.identifierUniversity of Tehran
dc.contributor.authorEBRAHIMI, Mohsen
hal.structure.identifierUniversity of Tehran
dc.contributor.authorALAVIPANAH, Seyed Kazem
hal.structure.identifierUniversity of Tehran
dc.contributor.authorHAMZEH, Saeid
hal.structure.identifierUniversity of Tehran
dc.contributor.authorAMIRASLANI, Farshad
hal.structure.identifierUniversity of Tehran
dc.contributor.authorNEYSANI SAMANY, Najmeh
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorWIGNERON, Jean-Pierre
dc.date.accessioned2024-04-08T12:05:29Z
dc.date.available2024-04-08T12:05:29Z
dc.date.issued2018
dc.identifier.issn0022-1694
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196359
dc.description.abstractEnThe objective of this study was to exploit the synergy between SMOS and SMAP based on vegetation optical depth (VOD) to improve brightness temperature (TB) simulations and land surface soil moisture (SM) retrievals in arid regions of the world. In the current operational algorithm of SMAP (level 2), vegetation water content (VWC) is considered as a proxy to compute VOD which is calculated by an empirical conversion function of NDVI. Avoiding the empirical estimation of VOD, the SMOS algorithm is used to retrieve simultaneously SM and VOD from TB observations. The present study attempted to improve SMAP TB simulations and SM retrievals by benefiting from the advantages of the SMOS (L-MEB) algorithm. This was achieved by using a synergy method based on replacing the default value of SMAP VOD with the retrieved value of VOD from the SMOS multi angular and bi-polarization observations of TB. The insitu SM measurements, used as reference SM in this study, were obtained from the International Soil Moisture Network (ISMN) over 180 stations located in arid regions of the world. Furthermore, four stations were randomly selected to analyze the temporal variations in VOD and SM. Results of the synergy method showed that the accuracy of the TB simulations and SM retrievals was respectively improved at 144 and 124 stations (out of a total of 180 stations) in terms of coefficient of determination (R2) and unbiased root mean squared error (UbRMSE). Analyzing the temporal variations in VOD showed that the SMOS VOD, conversely to the SMAP VOD, can better illustrate the presence of herbaceous plants and may be a better indicator of the seasonal changes in the vegetation density and biomass over the year.
dc.language.isoen
dc.publisherElsevier
dc.subjectSMOS
dc.subjectsynergy
dc.subject.enSMAP
dc.subject.envegetation optical depth
dc.subject.enτ-ω
dc.subject.enL-MEB
dc.title.enExploiting the synergy between SMAP and SMOS to improve brightness temperature simulations and soil moisture retrievals in arid regions
dc.typeArticle de revue
dc.identifier.doi10.1016/j.jhydrol.2017.12.051
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences de l'environnement
bordeaux.journalJournal of Hydrology
bordeaux.page740-752
bordeaux.volume557
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02622390
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02622390v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20Hydrology&rft.date=2018&rft.volume=557&rft.spage=740-752&rft.epage=740-752&rft.eissn=0022-1694&rft.issn=0022-1694&rft.au=EBRAHIMI,%20Mohsen&ALAVIPANAH,%20Seyed%20Kazem&HAMZEH,%20Saeid&AMIRASLANI,%20Farshad&NEYSANI%20SAMANY,%20Najmeh&rft.genre=article


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