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Influence of sampling design parameters on biomass predictions derived from airborne lidar data

hal.structure.identifierTerritoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
dc.contributor.authorBOUVIER, M.
hal.structure.identifierTerritoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
dc.contributor.authorDURRIEU, S.
hal.structure.identifierCentre d'Applications et de Recherches en TELédétection [Sherbrooke] [CARTEL]
dc.contributor.authorFOURNIER, Richard
hal.structure.identifierTerritoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
dc.contributor.authorSAINT-GEOURS, N.
hal.structure.identifierBotanique et Modélisation de l'Architecture des Plantes et des Végétations [UMR AMAP]
dc.contributor.authorVINCENT, G.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorGUYON, D.
hal.structure.identifierTerritoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
dc.contributor.authorGRAU, Eloi
hal.structure.identifierEcologie des forêts de Guyane [UMR ECOFOG]
dc.contributor.authorHÉRAULT, Bruno
dc.date.accessioned2024-04-08T12:12:05Z
dc.date.available2024-04-08T12:12:05Z
dc.date.created2015
dc.date.issued2015
dc.date.conference2015-09-28
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196733
dc.description.abstractEnThe study provides technical guidelines to optimize sampling design parameters in the context of the implementation of biomass predictive models from airborne lidar data. Parameters under study were those easily controlled when implementing an area-based approach, i.e. lidar pulse density and both field sampling protocols and measurements. Parameters most impacting the model accuracy were identified by conducting a one-factor- at -a-time and a global sensitivity analyses. Number and size of field plot, and plot center position accuracy were identified to be the parameters most impacting model accuracy.
dc.language.isoen
dc.source.titleProceedings of silviLaser 2015. Durrieu S. et Véga, C. (eds)
dc.subjectTELEDETECTION
dc.subjectLIDAR
dc.subjectBIOMASSE
dc.subjectANALYSE DE SENSIBILITE
dc.subjectMODELISATION
dc.subjectECHANTILLONNAGE
dc.subject.enREMOTE SENSING
dc.subject.enSENSITIVITY ANALYSIS
dc.subject.enSAMPLING
dc.title.enInfluence of sampling design parameters on biomass predictions derived from airborne lidar data
dc.typeCommunication dans un congrès
dc.subject.halSciences de l'environnement
bordeaux.page137-139
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.conference.titleSilviLaser 2015
bordeaux.countryFR
bordeaux.title.proceedingProceedings of silviLaser 2015. Durrieu S. et Véga, C. (eds)
bordeaux.conference.cityLa Grande Motte
bordeaux.peerReviewedoui
hal.identifierhal-01286833
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2015-09-30
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01286833v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Proceedings%20of%20silviLaser%202015.%20Durrieu%20S.%20et%20V%C3%A9ga,%20C.%20(eds)&rft.date=2015&rft.spage=137-139&rft.epage=137-139&rft.au=BOUVIER,%20M.&DURRIEU,%20S.&FOURNIER,%20Richard&SAINT-GEOURS,%20N.&VINCENT,%20G.&rft.genre=unknown


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