Por favor, use este identificador para citar o enlazar este ítem: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1072022
Título: Uso 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.
Autor: QUEIROZ, A. M. de
OLIVEIRA, M. V. N. d'
OLIVEIRA, L. C. de
FIGUEIREDO, E. O.
Afiliación: Alisson 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.
Año: 2017
Referencia: In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017.
Páginas: 8 p.
Descripción: Monitoring 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.
Thesagro: Exploração florestal
Extração da madeira
Biomassa
Perda
Estimativa
Sensoriamento remoto
Raio laser
Análise estatística
Regressão linear
NAL Thesaurus: Logging
Biomass
Wastes
Remote sensing
Lidar
Statistical analysis
Regression analysis
Lásers
Palabras clave: Geotécnica
Manejo florestal
Floresta Estadual do Antimary (AC)
Bujari (AC)
Sena Madureira (AC)
Acre
Amazônia Ocidental
Western Amazon
Amazonia Occidental
Explotación forestal
Análisis de regresión
Análisis estadístico
Desechos
Teledetección
Biomasa
ISBN: 978-85-17-00088-1
Tipo de Material: Artigo em anais e proceedings
Acceso: openAccess
Aparece en las colecciones:Artigo em anais de congresso (CPAF-AC)

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