Estimation of forest parameters combining multisensor high resolution remote sensing data
hal.structure.identifier | Centre d'études spatiales de la biosphère [CESBIO] | |
dc.contributor.author | MORIN, David | |
hal.structure.identifier | Centre d'études spatiales de la biosphère [CESBIO] | |
dc.contributor.author | PLANELLS, Milena | |
hal.structure.identifier | Interactions Sol Plante Atmosphère [UMR ISPA] | |
dc.contributor.author | GUYON, Dominique | |
hal.structure.identifier | Centre d'études spatiales de la biosphère [CESBIO] | |
dc.contributor.author | VILLARD, Ludovic | |
hal.structure.identifier | Centre d'études spatiales de la biosphère [CESBIO] | |
dc.contributor.author | DEDIEU, Gérard | |
dc.date.accessioned | 2024-04-08T12:00:27Z | |
dc.date.available | 2024-04-08T12:00:27Z | |
dc.date.issued | 2018 | |
dc.date.conference | 2018-07-22 | |
dc.identifier.isbn | 978-1-5386-7150-4 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/196075 | |
dc.description.abstractEn | Forest 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.iso | en | |
dc.publisher | IEEE | |
dc.publisher.location | Hamburg (germany) | |
dc.source.title | IEEE International Geoscience and Remote Sensing Symposium Proceedings | |
dc.title.en | Estimation of forest parameters combining multisensor high resolution remote sensing data | |
dc.type | Communication dans un congrès | |
dc.identifier.doi | 10.1109/IGARSS.2018.8517722 | |
dc.subject.hal | Sciences du Vivant [q-bio] | |
dc.subject.hal | Sciences de l'environnement | |
bordeaux.hal.laboratories | Interactions Soil Plant Atmosphere (ISPA) - UMR 1391 | * |
bordeaux.institution | Bordeaux Sciences Agro | |
bordeaux.institution | INRAE | |
bordeaux.conference.title | IEE International Geoscience and Remote Sensing Symposium (IGARSS) | |
bordeaux.country | ES | |
bordeaux.title.proceeding | IEEE International Geoscience and Remote Sensing Symposium Proceedings | |
bordeaux.conference.city | Valencia | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-02737053 | |
hal.version | 1 | |
hal.invited | non | |
hal.conference.end | 2018-07-27 | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-02737053v1 | |
bordeaux.COinS | ctx_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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