LIDAR-based estimation of bole biomass for precision management of an Amazonian forest: comparisons of ground-based and remotely sensed estimates.

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dc.contributorEVANDRO ORFANO FIGUEIREDO, CPAF-AC
dc.contributorMARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC
dc.contributorEVALDO MUNOZ BRAZ, CNPF
dc.contributorDANIEL DE ALMEIDA PAPA, CPAF-AC
dc.contributorPhilip Martin Fearnside, Instituto Nacional de Pesquisas da Amazônia/RedeClima.
dc.creatorFIGUEIREDO, E. O.
dc.creatorOLIVEIRA, M. V. N. d'
dc.creatorBRAZ, E. M.
dc.creatorPAPA, D. de A.
dc.creatorFEARNSIDE, P. M.
dc.date2016-10-26T11:11:11Z
dc.date2016-10-26T11:11:11Z
dc.date2016-10-26
dc.date2016
dc.date2017-07-06T11:11:11Z
dc.date.accessioned2026-06-30T22:50:29Z
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.
dc.identifierRemote Sensing of Environment, Amsterdam, v. 187, p. 281-293, Dec. 2016.
dc.identifier0034-4257
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1055435
dc.identifier.urihttp://hdl.handle.net/123456789/369302
dc.languageeng
dc.rightsopenAccess
dc.subjectGeotécnica
dc.subjectManejo de precisão
dc.subjectFloresta Estadual do Antimary (AC)
dc.subjectAcre
dc.subjectAmazônia Ocidental
dc.subjectWestern Amazon
dc.subjectAmazonia Occidental
dc.subjectAcumulación de materia seca
dc.subjectProgramas de computadores
dc.subjectAnálisis estadístico
dc.subjectBosques tropicales
dc.subjectCubierta (plantas)
dc.subjectManejo forestal
dc.subjectModelos matemáticos
dc.subjectProducción de biomasa
dc.subjectTeledetección
dc.subjectFloresta tropical
dc.subjectPopulação de planta
dc.subjectBiometria
dc.subjectBiomassa
dc.subjectMatéria seca
dc.subjectSensoriamento remoto
dc.subjectRaio laser
dc.subjectModelo matemático
dc.subjectAnálise estatística
dc.subjectPrograma de computador
dc.subjectFlora
dc.subjectTropical forests
dc.subjectForest management
dc.subjectCanopy
dc.subjectBiomass production
dc.subjectDry matter accumulation
dc.subjectRemote sensing
dc.subjectLidar
dc.subjectMathematical models
dc.subjectStatistical analysis
dc.subjectComputer software
dc.subjectLásers
dc.subjectAmazonia
dc.titleLIDAR-based estimation of bole biomass for precision management of an Amazonian forest: comparisons of ground-based and remotely sensed estimates.
dc.typeArtigo de periódico

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