Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1055435
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dc.contributor.authorFIGUEIREDO, E. O.pt_BR
dc.contributor.authorOLIVEIRA, M. V. N. d'pt_BR
dc.contributor.authorBRAZ, E. M.pt_BR
dc.contributor.authorPAPA, D. de A.pt_BR
dc.contributor.authorFEARNSIDE, P. M.pt_BR
dc.date.accessioned2016-10-26T11:11:11Zpt_BR
dc.date.available2016-10-26T11:11:11Zpt_BR
dc.date.created2016-10-26pt_BR
dc.date.issued2016pt_BR
dc.identifier.citationRemote Sensing of Environment, Amsterdam, v. 187, p. 281-293, Dec. 2016.pt_BR
dc.identifier.issn0034-4257pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1055435pt_BR
dc.descriptionBased on airborne LIDAR data on canopymorphology and height of Amazon forest trees, we developed allometric models to estimate dry biomass stored in the boles of dominant and co-dominant individuals and compared these results with those from equations based on traditional variables such as diameter at breast height (DBH). The database consisted of 142 trees of interest for logging in a forest under management for timber in Brazil's state of Acre. The trees chosen for studywere selected through proportional sampling by diameter class (ranging from45 to 165 cm DBH) in order to properly represent the dominant and co-dominant tree populationswith diameters appropriate for harvest. Subsequent to LIDAR profiling of these trees, they were felled, subjected to a battery of dimensional measurements and sampled for wood-density determination. A set ofmodels was generated, followed by model selection and identity testing in order to compare groups of basicwood density (low, medium and high). The morphometric variables of the crown had high explanatory power for bole biomass independent of whether the allometric equations included DBH. When calculating bole biomass with equations that include basic wood density, the best estimate is obtained using variables for both DBH and crown morphology. To obtain an allometric equation that encompasses species in all three classes of basic density, one should either use only independent variables representing crown dimensions or complement these with variables for basic density (BD) and total height (Ht). The study demonstrates the feasibility of using ground-based measurements to calibrate biomass models that include only LIDAR-based variables, allowing much larger areas to be surveyed with reasonable accuracy. The present study is designed to produce data needed for forest management, but the methods developed here can be adapted to studies aimed at reducing the uncertainty in biomass estimates of whole forests (not just harvestable trees) for use in quantifying carbon emissions from forest loss and degradation.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectGeotécnicapt_BR
dc.subjectManejo de precisãopt_BR
dc.subjectFloresta Estadual do Antimary (AC)pt_BR
dc.subjectAcrept_BR
dc.subjectAmazônia Ocidentalpt_BR
dc.subjectWestern Amazonpt_BR
dc.subjectAmazonia Occidentalpt_BR
dc.subjectAcumulación de materia secapt_BR
dc.subjectAnálisis estadísticopt_BR
dc.subjectBosques tropicalespt_BR
dc.subjectCubierta (plantas)pt_BR
dc.subjectManejo forestalpt_BR
dc.subjectModelos matemáticospt_BR
dc.subjectProducción de biomasapt_BR
dc.subjectProgramas de computadorespt_BR
dc.subjectTeledetecciónpt_BR
dc.titleLIDAR-based estimation of bole biomass for precision management of an Amazonian forest: comparisons of ground-based and remotely sensed estimates.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2017-07-06T11:11:11Zpt_BR
dc.subject.thesagroFloresta tropicalpt_BR
dc.subject.thesagroPopulação de plantapt_BR
dc.subject.thesagroBiometriapt_BR
dc.subject.thesagroBiomassapt_BR
dc.subject.thesagroMatéria secapt_BR
dc.subject.thesagroSensoriamento remotopt_BR
dc.subject.thesagroRaio laserpt_BR
dc.subject.thesagroModelo matemáticopt_BR
dc.subject.thesagroAnálise estatísticapt_BR
dc.subject.thesagroPrograma de computadorpt_BR
dc.subject.thesagroFlorapt_BR
dc.subject.nalthesaurusTropical forestspt_BR
dc.subject.nalthesaurusForest managementpt_BR
dc.subject.nalthesaurusCanopypt_BR
dc.subject.nalthesaurusBiomass productionpt_BR
dc.subject.nalthesaurusDry matter accumulationpt_BR
dc.subject.nalthesaurusRemote sensingpt_BR
dc.subject.nalthesaurusLidarpt_BR
dc.subject.nalthesaurusMathematical modelspt_BR
dc.subject.nalthesaurusStatistical analysispt_BR
dc.subject.nalthesaurusComputer softwarept_BR
dc.subject.nalthesaurusLáserspt_BR
dc.subject.nalthesaurusAmazoniapt_BR
riaa.ainfo.id1055435pt_BR
riaa.ainfo.lastupdate2017-07-06pt_BR
dc.contributor.institutionEVANDRO ORFANO FIGUEIREDO, CPAF-Acre; MARCUS VINICIO NEVES D OLIVEIRA, CPAF-Acre; EVALDO MUNOZ BRAZ, CNPF; DANIEL DE ALMEIDA PAPA, CPAF-Acre; Philip Martin Fearnside, Instituto Nacional de Pesquisas da Amazônia/RedeClima.pt_BR
Aparece nas coleções:Artigo em periódico indexado (CPAF-AC)

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