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Passive L-band microwave remote sensing of organic soil surface layers: a tower-based experiment

hal.structure.identifierAgrosphere, IBG-3
hal.structure.identifierEarth and Life Institute [Louvain-La-Neuve] [ELI]
dc.contributor.authorJONARD, François
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorBIRCHER, Simone
hal.structure.identifierUniversité de Bordeaux [UB]
dc.contributor.authorDEMONTOUX, François
hal.structure.identifierAgrosphere, IBG-3
dc.contributor.authorWEIHERMÜLLER, Lutz
hal.structure.identifierUniversité de Bordeaux [UB]
dc.contributor.authorRAZAFINDRATSIMA, Stephen
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorWIGNERON, Jean-Pierre
hal.structure.identifierAgrosphere, IBG-3
dc.contributor.authorVEREECKEN, Harry
dc.date.accessioned2024-04-08T12:06:12Z
dc.date.available2024-04-08T12:06:12Z
dc.date.issued2018
dc.identifier.issn2072-4292
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196390
dc.description.abstractEnOrganic soils play a key role in global warming because they store large amount of soil carbon which might be degraded with changing soil temperatures or soil water contents. There is thus a strong need to monitor these soils and, in particular, their hydrological characteristics using, for instance, space-borne L-band brightness temperature observations. However, there are still open issues with respect to soil moisture retrieval techniques over organic soils. In view of this, organic soil blocks with their vegetation cover were collected from a heathland in the Skjern River catchment in western Denmark and then transported to a remote sensing field laboratory in Germany where their structure was reconstituted. The controlled conditions at this field laboratory made it possible to perform tower-based L-band radiometer measurements of the soils over a period of two months. Brightness temperature data were inverted using a radiative transfer (RT) model for estimating the time variations in the soil dielectric permittivity and the vegetation optical depth. In addition, the effective vegetation scattering albedo parameter of the RT model was retrieved based on a two-step inversion approach. The remote estimations of the dielectric permittivity were compared to in situ measurements. The results indicated that the radiometer-derived dielectric permittivities were significantly correlated with the in situ measurements, but their values were systematically lower compared to the in situ ones. This could be explained by the difference between the operating frequency of the L-band radiometer (1.4 GHz) and that of the in situ sensors (70 MHz). The effective vegetation scattering albedo parameter was found to be polarization dependent. While the scattering effect within the vegetation could be neglected at horizontal polarization, it was found to be important at vertical polarization. The vegetation optical depth estimated values over time oscillated between 0.10 and 0.19 with a mean value of 0.13. This study provides further insights into the characterization of the L-band brightness temperature signatures of organic soil surface layers and, in particular, into the parametrization of the RT model for these specific soils. Therefore, the results of this study are expected to improve the performance of space-borne remote sensing soil moisture products over areas dominated by organic soils.
dc.language.isoen
dc.publisherMDPI
dc.subjectorganic soil
dc.subjectsoil dielectric permittivity
dc.subjectsoil moisture
dc.subject.enL-band radiometry
dc.subject.enmicrowave remote sensing
dc.subject.eninverse modelling
dc.subject.entower-based experiment
dc.title.enPassive L-band microwave remote sensing of organic soil surface layers: a tower-based experiment
dc.typeArticle de revue
dc.identifier.doi10.3390/rs10020304
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences de l'environnement
bordeaux.journalRemote Sensing
bordeaux.page1-18
bordeaux.volume10
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue2
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02621154
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02621154v1
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=2&rft.spage=1-18&rft.epage=1-18&rft.eissn=2072-4292&rft.issn=2072-4292&rft.au=JONARD,%20Fran%C3%A7ois&BIRCHER,%20Simone&DEMONTOUX,%20Fran%C3%A7ois&WEIHERM%C3%9CLLER,%20Lutz&RAZAFINDRATSIMA,%20Stephen&rft.genre=article


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