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Analysis of the radar vegetation index and potential improvements

hal.structure.identifierGerman Aerospace Center [DLR]
dc.contributor.authorSZIGARSKI, Christoph
hal.structure.identifierGerman Aerospace Center [DLR]
dc.contributor.authorJAGDHUBER, Thomas
dc.contributor.authorBAUR, Martin
hal.structure.identifierGerman Aerospace Center [DLR]
dc.contributor.authorTHIEL, Christian
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
hal.structure.identifierEcole d'Ingénieurs de Purpan [INP - PURPAN]
dc.contributor.authorPARRENS, Marie
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorWIGNERON, Jean-Pierre
hal.structure.identifierUniversitat de València = University of Valencia [UV]
dc.contributor.authorPILES, Maria
hal.structure.identifierDepartment of Civil and Environmental Engineering [Cambridge] [CEE]
dc.contributor.authorENTEKHABI, Dara
dc.date.accessioned2024-04-08T12:05:58Z
dc.date.available2024-04-08T12:05:58Z
dc.date.issued2018
dc.identifier.issn2072-4292
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196383
dc.description.abstractEnThe Radar Vegetation Index (RVI) is a well-established microwave metric of vegetation cover. The index utilizes measured linear scattering intensities from co- and cross-polarization and is normalized to ideally range from 0 to 1, increasing with vegetation cover. At long wavelengths (L-band) microwave scattering does not only contain information coming from vegetation scattering, but also from soil scattering (moisture & roughness) and therefore the standard formulation of RVI needs to be revised. Using global level SMAP L-band radar data, we illustrate that RVI runs up to 1.2, due to the pre-factor in the standard formulation not being adjusted to the scattering mechanisms at these low frequencies. Improvements on the RVI are subsequently proposed to obtain a normalized value range, to remove soil scattering influences as well as to mask out regions with dominant soil scattering at L-band (sparse or no vegetation cover). Two purely vegetation-based RVIs (called RVII and RVIII), are obtained by subtracting a forward modeled, attenuated soil scattering contribution from the measured backscattering intensities. Active and passive microwave information is used jointly to obtain the scattering contribution of the soil, using a physics-based multi-sensor approach; simulations from a particle model for polarimetric vegetation backscattering are utilized to calculate vegetation-based RVI-values without any soil scattering contribution. Results show that, due to the pre-factor in the standard formulation of RVI the index runs up to 1.2, atypical for an index normally ranging between zero and one. Correlation analysis between the improved radar vegetation indices (standard RVI and the indices with potential improvements RVII and RVIII) are used to evaluate the degree of independence of the indices from surface roughness and soil moisture contributions. The improved indices RVII and RVIII show reduced dependence on soil roughness and soil moisture. All RVI-indices examined indicate a coupled correlation to vegetation water content (plant moisture) as well as leaf area index (plant structure) and no single dependency, as often assumed. These results might improve the use of polarimetric radar signatures for mapping global vegetation.
dc.language.isoen
dc.publisherMDPI
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subjectvegetation index
dc.subjectsoil moisture
dc.subjectSMOS
dc.subject.enmicrowaves
dc.subject.enradiometer
dc.subject.enradar
dc.subject.ensoil scattering
dc.subject.enroughness
dc.subject.enSMAP
dc.title.enAnalysis of the radar vegetation index and potential improvements
dc.typeArticle de revue
dc.identifier.doi10.3390/rs10111776
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences de l'environnement
bordeaux.journalRemote Sensing
bordeaux.page1-15
bordeaux.volume10
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue11
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02621455
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02621455v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote%20Sensing&rft.date=2018&rft.volume=10&rft.issue=11&rft.spage=1-15&rft.epage=1-15&rft.eissn=2072-4292&rft.issn=2072-4292&rft.au=SZIGARSKI,%20Christoph&JAGDHUBER,%20Thomas&BAUR,%20Martin&THIEL,%20Christian&PARRENS,%20Marie&rft.genre=article


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