Data/hora: 09/06/2024 05:33:33

Biblioteca(s): 	Embrapa Acre.	
Data corrente: 	05/07/2017	
Data da última atualização: 	16/11/2023	
Autoria: 	QUEIROZ, A. M. de; OLIVEIRA, M. V. N. d'; OLIVEIRA, L. C. de; FIGUEIREDO, E. O.	
Afiliação: 	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.	
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.	
Ano de publicação: 	2017	
Fonte/Imprenta: 	In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017.	
Páginas: 	8 p.	
ISBN: 	978-85-17-00088-1	
Idioma: 	Português	
Conteúdo: 	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.	
Palavras-Chave: 	Acre; Amazonia Occidental; Amazônia Ocidental; Análisis de regresión; Análisis estadístico; Biomasa; Bujari (AC); Desechos; Explotación forestal; Floresta Estadual do Antimary (AC); Geotécnica; Manejo florestal; Sena Madureira (AC); Teledetección; Western Amazon.	
Thesagro: 	Análise estatística; Biomassa; Estimativa; Exploração florestal; Extração da madeira; Perda; Raio laser; Regressão linear; Sensoriamento remoto.	
Thesaurus Nal: 	Biomass; Lásers; Lidar; Logging; Regression analysis; Remote sensing; Statistical analysis; Wastes.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/161400/1/26342.pdf	
Registro original: 	Embrapa Acre (CPAF-AC)	
Exemplares: 	CPAF-AC - (26342-1) - UPC - AA - DD -  -  -  - DIS