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First mapping of polarization-dependent vegetation optical depth and soil moisture from SMAP L-band radiometry

hal.structure.identifierAerospace Information Research Institute [AIRICAS]
hal.structure.identifierUniversity of Chinese Academy of Sciences [Beijing] [UCAS]
dc.contributor.authorPENG, Zhiqing
hal.structure.identifierAerospace Information Research Institute [AIRICAS]
dc.contributor.authorZHAO, Tianjie
hal.structure.identifierChinese Academy of Sciences [Beijing] [CAS]
dc.contributor.authorSHI, Jiancheng
hal.structure.identifierNanjing University [NJU]
dc.contributor.authorHU, Lu
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorRODRÍGUEZ-FERNÁNDEZ, Nemesio
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorWIGNERON, Jean-Pierre
hal.structure.identifierUSDA-ARS : Agricultural Research Service
dc.contributor.authorJACKSON, Thomas
hal.structure.identifierMonash university
dc.contributor.authorWALKER, Jeffrey
hal.structure.identifierUSDA-ARS : Agricultural Research Service
dc.contributor.authorCOSH, Michael
hal.structure.identifierTsinghua University [Beijing] [THU]
dc.contributor.authorYANG, Kun
hal.structure.identifierTsinghua University [Beijing] [THU]
dc.contributor.authorLU, Hui
hal.structure.identifierAerospace Information Research Institute [AIRICAS]
dc.contributor.authorBAI, Yu
hal.structure.identifierAerospace Information Research Institute [AIRICAS]
dc.contributor.authorYAO, Panpan
hal.structure.identifierHohai University
dc.contributor.authorZHENG, Jingyao
hal.structure.identifierJianghan University
dc.contributor.authorWEI, Zushuai
dc.date.accessioned2024-04-08T11:37:01Z
dc.date.available2024-04-08T11:37:01Z
dc.date.issued2024-03
dc.identifier.issn0034-4257
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195006
dc.description.abstractEnSoil moisture (SM) and vegetation optical depth (VOD) estimates using passive microwave remote sensing at Lband (1.4 GHz) are essential for attaining a better understanding of water exchanges at the land-atmosphere interface. However, current retrieval algorithms often ignore the polarization dependence of vegetation effects. This study proposed a parameter self-calibrating framework for the multi-channel collaborative algorithm (MCCA) and presented a new SM and the first polarization-dependent VOD product based on the dual-polarized L-band observations at a fixed angle (40 degrees) from the NASA Soil Moisture Active Passive (SMAP) mission. The parameter self-calibrating framework utilizes an information theory-based approach to obtain surface roughness and effective scattering albedo globally. Furthermore, the MCCA does not require auxiliary data for vegetation or soil moisture to constrain the retrieval process. Comparison with other SM and VOD products, such as MT-DCA version 5, DCA, SCA-H, SCA-V from SMAP Level-3 products version 8, and SMAP-IB, demonstrate analogous spatial patterns. The MCCA-derived SM exhibits the lowest unbiased root mean square deviation (ubRMSD, about 0.055 m3/m3), followed by SMAP-IB and DCA (0.061 m3/m3), with an overall Pearson's correlation coefficient of 0.744 (SMAP-IB performed best with R = 0.764) when evaluated against in-situ observations from 18 dense soil moisture networks. The MCCA generates VOD values for both vertical and horizontal polarization, demonstrating a slight polarization difference of vegetation effect at the satellite scale. Both VODs exhibit a strong linear relationship with above-ground biomass and canopy height. The polarization difference of VODs is primarily observed in densely vegetated and arid areas.
dc.language.isoen
dc.publisherElsevier
dc.subject.enSoil moisture
dc.subject.enVegetation optical depth
dc.subject.enMCCA
dc.subject.enPolarization dependence
dc.subject.enSMAP
dc.title.enFirst mapping of polarization-dependent vegetation optical depth and soil moisture from SMAP L-band radiometry
dc.typeArticle de revue
dc.identifier.doi10.1016/j.rse.2023.113970
dc.subject.halPlanète et Univers [physics]/Interfaces continentales, environnement
bordeaux.journalRemote Sensing of Environment
bordeaux.page113970
bordeaux.volume302
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-04474658
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04474658v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote%20Sensing%20of%20Environment&rft.date=2024-03&rft.volume=302&rft.spage=113970&rft.epage=113970&rft.eissn=0034-4257&rft.issn=0034-4257&rft.au=PENG,%20Zhiqing&ZHAO,%20Tianjie&SHI,%20Jiancheng&HU,%20Lu&RODR%C3%8DGUEZ-FERN%C3%81NDEZ,%20Nemesio&rft.genre=article


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