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<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2018-01-16T16:17:53Z</responseDate> <request identifier=oai:HAL:hal-01514241v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-01514241v1</identifier> <datestamp>2017-12-21</datestamp> <setSpec>type:POSTER</setSpec> <setSpec>subject:info</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:BNRMI</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>Biomass mapping for tropical island forests.</title> <creator>Alain, Rousteau</creator> <creator>Boreux, Jean-Jacques</creator> <creator>Marion, Daullet</creator> <creator>Enguerran, Grandchamp</creator> <creator>MOLTO, Quentin</creator> <contributor>Dynamique des écosystèmes Caraïbe et biologie des espèces associées (DYNECAR EA 926) ; Université des Antilles et de la Guyane (UAG)</contributor> <contributor>Département des Sciences et Gestion de l'Environnement [Liege] (DSGE) ; Université de Liège</contributor> <contributor>Laboratoire de Mathématiques Informatique et Applications (LAMIA) ; Université des Antilles et de la Guyane (UAG)</contributor> <contributor>Centre de Coopération Internationale en Recherche Agronomique pour le Développement</contributor> <description>International audience</description> <source>CAS</source> <coverage>Deshaies, Guadeloupe</coverage> <identifier>hal-01514241</identifier> <identifier>https://hal.archives-ouvertes.fr/hal-01514241</identifier> <source>https://hal.archives-ouvertes.fr/hal-01514241</source> <source>CAS, Nov 2016, Deshaies, Guadeloupe. 2016</source> <language>en</language> <subject lang=en>forest biomass</subject> <subject lang=en> tropical rain forest</subject> <subject>[INFO.INFO-TI] Computer Science [cs]/Image Processing</subject> <type>info:eu-repo/semantics/conferenceObject</type> <type>Poster communications</type> <description lang=en>The aboveground biomass density (AGBD) or aboveground carbon density is mapped for the rainforest of the Basse-Terre Island (Guadeloupe, French West Indies). This mapping is the first devoted to the rainforest of the Lesser Antilles.Mapping AGBD needs the successive realization of two steps. At first, AGBD was estimated in studied forest plots where trees were individually measured; secondly these local estimations were extended through multiple regression including remote sensing LiDAR measurements.Due to the structural specificity of the Caribbean-islands forests, applying general allometry relationship overestimates tree above-ground biomass. Yet we take advantage of pantropical database (Chave et al. 2014) by adopting a suitable statistical procedure: bayesian mixed decision rule.Despite the reduced canopy height, generally less than 35 m, Caribbean lowland rainforests have a high biomass, in every respect comparable to that of continental lowland forests. Such peculiarity is achieved through increased tree density that compensate for lower canopy height.</description> <date>2016-11-24</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>