Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1072022
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dc.contributor.authorQUEIROZ, A. M. dept_BR
dc.contributor.authorOLIVEIRA, M. V. N. d'pt_BR
dc.contributor.authorOLIVEIRA, L. C. dept_BR
dc.contributor.authorFIGUEIREDO, E. O.pt_BR
dc.date.accessioned2017-07-05T11:11:11Zpt_BR
dc.date.available2017-07-05T11:11:11Zpt_BR
dc.date.created2017-07-05pt_BR
dc.date.issued2017pt_BR
dc.identifier.citationIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017.pt_BR
dc.identifier.isbn978-85-17-00088-1pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1072022pt_BR
dc.descriptionMonitoring forest operations on logged areas is essential to identify the impacts caused to the residual. Light Detection and Ranging (LiDAR) has proven an effective tool to the quantification of the structural parameters and biomass loss on tropical forests. The objective of this study was through the use of repeated LiDAR flights to elaborate a regression model to estimate the biomass of the logged trees and to assess the biomass losses produced by tree cutting and logs extraction in a forest management area. The study was carried out in an annual production area in the Antimary state forest in Acre State, western Amazon. The results demonstrated that: i. the use of crown projection area as independent variable was sufficient to produce a robust model to estimate the biomass of individual trees; ii. the number of trees extracted alone did not explained the biomass loss in the plots and iii. there was a strong relationship between the total biomass loss estimated by the subtraction of the biomass before and after logging and the biomass of the extracted trees. We suggest that this relationship should be used as a quality indicator of the applied forest management techniques.pt_BR
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.subjectGeotécnicapt_BR
dc.subjectManejo florestalpt_BR
dc.subjectFloresta Estadual do Antimary (AC)pt_BR
dc.subjectBujari (AC)pt_BR
dc.subjectSena Madureira (AC)pt_BR
dc.subjectAcrept_BR
dc.subjectAmazônia Ocidentalpt_BR
dc.subjectWestern Amazonpt_BR
dc.subjectAmazonia Occidentalpt_BR
dc.subjectAnálisis de regresiónpt_BR
dc.subjectAnálisis estadísticopt_BR
dc.subjectDesechospt_BR
dc.subjectExplotación forestalpt_BR
dc.subjectTeledetecciónpt_BR
dc.subjectBiomasapt_BR
dc.titleUso do LiDAR para quantificação da perda de biomassa produzida pelo corte de árvores e extração das toras em uma floresta tropical manejada no Estado do Acre.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2017-07-10T11:11:11Zpt_BR
dc.subject.thesagroExploração florestalpt_BR
dc.subject.thesagroExtração da madeirapt_BR
dc.subject.thesagroBiomassapt_BR
dc.subject.thesagroPerdapt_BR
dc.subject.thesagroEstimativapt_BR
dc.subject.thesagroSensoriamento remotopt_BR
dc.subject.thesagroRaio laserpt_BR
dc.subject.thesagroAnálise estatísticapt_BR
dc.subject.thesagroRegressão linearpt_BR
dc.subject.nalthesaurusLoggingpt_BR
dc.subject.nalthesaurusBiomasspt_BR
dc.subject.nalthesaurusWastespt_BR
dc.subject.nalthesaurusRemote sensingpt_BR
dc.subject.nalthesaurusLidarpt_BR
dc.subject.nalthesaurusStatistical analysispt_BR
dc.subject.nalthesaurusRegression analysispt_BR
dc.subject.nalthesaurusLáserspt_BR
dc.format.extent28 p.pt_BR
riaa.ainfo.id1072022pt_BR
riaa.ainfo.lastupdate2017-07-10pt_BR
dc.contributor.institutionAlisson Maia de Queiroz, Universidade Federal do Acre (Ufac); MARCUS VINICIO NEVES D OLIVEIRA, CPAF-Acre; LUIS CLAUDIO DE OLIVEIRA, CPAF-Acre; EVANDRO ORFANO FIGUEIREDO, CPAF-Acre.pt_BR
Aparece nas coleções:Artigo em anais de congresso (CPAF-AC)

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