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Estimation of forest parameters combining multisensor high resolution remote sensing data

hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorMORIN, David
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorPLANELLS, Milena
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorGUYON, Dominique
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorVILLARD, Ludovic
hal.structure.identifierCentre d'études spatiales de la biosphère [CESBIO]
dc.contributor.authorDEDIEU, Gérard
dc.date.accessioned2024-04-08T12:00:27Z
dc.date.available2024-04-08T12:00:27Z
dc.date.issued2018
dc.date.conference2018-07-22
dc.identifier.isbn978-1-5386-7150-4
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196075
dc.description.abstractEnForest monitoring is a major issue to carry out energetic and environmental policies. Actual context in spaceborne remote sensing data is very promising. Our study aims to test the ability of SAR, optical and textural data to estimate forest parameters (biomass, height, diameter and density), and to evaluate the improvement of combining these remote sensing data. We worked on monospecific pine forest stands. The first results highlighted the synergy between SAR and spatial texture informations. Sentinel-1 C-band SAR data is very promising for the estimation of forest parameters in monospecifics stands. Biomass was estimated with 29.4% relative error (20.7 tons/ha) and height with 14.6% (2.1m) combining four SAR and optical sensors.
dc.language.isoen
dc.publisherIEEE
dc.publisher.locationHamburg (germany)
dc.source.titleIEEE International Geoscience and Remote Sensing Symposium Proceedings
dc.title.enEstimation of forest parameters combining multisensor high resolution remote sensing data
dc.typeCommunication dans un congrès
dc.identifier.doi10.1109/IGARSS.2018.8517722
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences de l'environnement
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.conference.titleIEE International Geoscience and Remote Sensing Symposium (IGARSS)
bordeaux.countryES
bordeaux.title.proceedingIEEE International Geoscience and Remote Sensing Symposium Proceedings
bordeaux.conference.cityValencia
bordeaux.peerReviewedoui
hal.identifierhal-02737053
hal.version1
hal.invitednon
hal.conference.end2018-07-27
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02737053v1
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=2018&rft.au=MORIN,%20David&PLANELLS,%20Milena&GUYON,%20Dominique&VILLARD,%20Ludovic&DEDIEU,%20G%C3%A9rard&rft.isbn=978-1-5386-7150-4&rft.genre=unknown


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