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dc.contributor.authorFrison, P.L.en_US
dc.contributor.authorMougin, E.en_US
dc.contributor.authorJarlan, L.en_US
dc.contributor.authorKaram, M.A.en_US
dc.contributor.authorHiernaux, Pierre H.Y.en_US
dc.date.accessioned2013-05-06T07:01:10Zen_US
dc.date.available2013-05-06T07:01:10Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/28681en_US
dc.titleComparison of ERS wind-scatterometer and SSM/I data for Sahelian vegetation monitoringen_US
dcterms.abstractERS wind scatterometer (WSC) and SSNI/I data are compared for monitoring the seasonal variation of herbaceous vegetation over a sahelian region. Temporal evolution of polarization difference brightness temperatures derived from SSM/I data and WSC backscattering coefficient acquired at 45° of incidence angle over four different sites during the period 1992-1993, exhibits a marked seasonality with opposite and symmetrical trends. Observed differences between both signals are mainly attributed to atmospheric effects affecting SSM/I data. The use of a semi empirical model during the 1992 rainy season shows that T temporal evolution is mainly due to the variation of integrated water vapor content of the atmosphere, surface, and air temperature, soil moisture content, and bare soil fraction area. In order to retrieve biomass from SSM/I data, an inversion procedure is performed and compared to previous results obtained with ERS WSC data. The absence of accurate atmospheric data over the Sahel, combined with the sensitivity of the passive model to soil moisture leads to poor results with regard to biomass retrieval from SSM/I data.en_US
dcterms.accessRightsLimited Accessen_US
dcterms.bibliographicCitationIEEE Transactions on Geoscience and Remote Sensing;38(4): 1794-1803en_US
dcterms.extentp. 1794-1803en_US
dcterms.issued2000-07en_US
dcterms.languageenen_US
dcterms.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dcterms.subjectvegetationen_US
dcterms.subjectplant coveren_US
dcterms.subjectbiomassen_US
dcterms.subjectseasonsen_US
dcterms.subjectwindsen_US
dcterms.subjectmonitoringen_US
dcterms.subjectrainen_US
dcterms.typeJournal Articleen_US
cg.subject.ilriBIODIVERSITYen_US
cg.identifier.doihttps://doi.org/10.1109/36.851763en_US
cg.journalIEEE Transactions on Geoscience and Remote Sensingen_US
cg.issn0196-2892en_US
cg.volume38en_US
cg.issue4en_US


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