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hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorREGNIERS, Olivier
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorGOVIND, Ajit
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorGUYON, Dominique
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorWIGNERON, Jean-Pierre
hal.structure.identifierEnvironnement Méditerranéen et Modélisation des Agro-Hydrosystèmes [EMMAH]
dc.contributor.authorBARET, Frédéric
dc.date.accessioned2024-04-08T12:12:01Z
dc.date.available2024-04-08T12:12:01Z
dc.date.issued2012
dc.date.conference2012-07
dc.identifier.isbnE-ISBN : 978-1-4673-1158-8 Print ISBN: 978-1-4673-1160-1
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196728
dc.description.abstractEnSpatial datasets of biophysical parameters at multiple scales can be important for the modeling of landsurface processes. In this study, we compared how decametric resolution and kilometric resolution LAI retrievals vary over a maritime pine dominated ecosystem in Southern France. Firstly, we used atmospherically corrected Landsat ETM+ and SPOT4 HRVIR reflectances along with ground-based LAI measurements to derive empirical relationships between vegetation indices and measured LAI. These algorithms were later inverted to map LAI over the landscape. RSR-based algorithms showed the best performance for both ETM+ (r² = 0.788) and HRVIR (r² = 0.780) sensors and were more stable than SR and NDVI. Further, after upscaling to 1km, comparison with global LAI products revealed that the CYCLOPES product was more robust in capturing the fine scale signatures. These results show that modeling of landsurface processes could be improved by adopting a multiscale and multisensor approach.
dc.language.isoen
dc.publisherIEEE
dc.publisher.location(united states)
dc.source.titleIEEE International Geoscience and Remote Sensing Symposium Proceedings
dc.subject.enIndex Terms— LAI
dc.subject.envegetation index
dc.subject.enempirical relation
dc.subject.enMODIS LAI
dc.subject.enCYCLOPES
dc.title.enA multiscale and multisensor approach of LAI retrieval in a maritime pine ecosystem
dc.typeCommunication dans un congrès
dc.identifier.doi10.1109/IGARSS.2012.6351199
dc.subject.halSciences de l'environnement
bordeaux.pagen.p.
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.conference.titleIEEE Geoscience and Remote Sensing Symposium
bordeaux.countryDE
bordeaux.title.proceedingIEEE International Geoscience and Remote Sensing Symposium Proceedings
bordeaux.conference.cityMunich
bordeaux.peerReviewedoui
hal.identifierhal-01319088
hal.version1
hal.invitednon
hal.proceedingsnon
hal.conference.end2012-07-27
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01319088v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=IEEE%20International%20Geoscience%20and%20Remote%20Sensing%20Symposium%20Proceedings&rft.date=2012&rft.spage=n.p.&rft.epage=n.p.&rft.au=REGNIERS,%20Olivier&GOVIND,%20Ajit&GUYON,%20Dominique&WIGNERON,%20Jean-Pierre&BARET,%20Fr%C3%A9d%C3%A9ric&rft.isbn=E-ISBN%20:%20978-1-4673-1158-8%20Print%20ISBN:%20978-1-4673-1160-1&rft.genre=unknown


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