Data/hora: 27/07/2024 01:53:40

Biblioteca(s): 	Embrapa Acre.	
Tipo da produção científica: 	Artigo em Anais de Congresso	
Data corrente: 	05/07/2017	
Data da última atualização: 	16/11/2023	
Autoria: 	OLIVEIRA, M. V. N. d'; OLIVEIRA, L. C. de.	
Afiliação: 	MARCUS VINICIO NEVES D OLIVEIRA, CPAF-Acre; LUIS CLAUDIO DE OLIVEIRA, CPAF-Acre.	
Título: 	Comparação de modelos lidar para a estimativa de biomassa seca acima do solo de florestas com diferentes históricos de perturbação natural ou antrópica 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.	
Idioma: 	Português	
Conteúdo: 	Lidar data has been largely used to produce estimative on biomass and timber stocks in tropical forests. A major problem is the lidar flights costs, and the exhaustive and expensive ground plot data acquisition necessary to calibrate lidar data metrics. The use of ground information from previously established plots and the generalization of existent models to structurally similar forests should be a way to minimize these costs. In this work we study six forest in Acre state with similar structure and different disturbance history covered by lidar flights and forest inventories. We investigate whether the use of plots with different sizes violate the null hypothesis of the variance equality of the lidar metrics and tested the use of a lidar general model to estimate the biomass on the studied sites. We generated regression models to estimate above ground biomass for each area and compared them to a general model elaborated with the ground and lidar information of all areas together. The results showed that the null hypotheses of the variance was not violated to the variable selected to compose the models and no significant differences were found among the local and general models suggesting that in the absence of forest inventories, when forest were structurally similar, a general lidar model can be used to assess biomass stocks.	
Palavras-Chave: 	Acre; Amazonia Occidental; Amazônia Ocidental; Análisis de regresión; Análisis estadístico; Biomasa aérea; Bujari (AC); Embrapa Acre; Fazenda Bonal; Feijó (AC); Floresta Estadual do Antimary (AC); Geotécnica; Porto Acre (AC); Projeto de Assentamento Dirigido Humaita (AC); Rio Branco (AC); Sena Madureira (AC); Senador Guiomard (AC); Teledetección; Terra Indígena Kaxinawá de Nova Olinda (AC); Western Amazon.	
Thesagro: 	Análise estatística; Biomassa; Estimativa; Parte aérea; Raio laser; Regressão linear; Sensoriamento remoto.	
Thesaurus Nal: 	Aboveground biomass; Lásers; Lidar; Regression analysis; Remote sensing; Statistical analysis.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/161401/1/26343.pdf	
Registro original: 	Embrapa Acre (CPAF-AC)	
Exemplares: 	CPAF-AC - (26343-1) - UPC - AA - DD -  -  -  - DIS