Data/hora: 28/04/2024 00:20:10

Biblioteca(s): 	Embrapa Florestas.	
Data corrente: 	12/06/2015	
Data da última atualização: 	27/01/2016	
Autoria: 	COSTA, C. R. da; LUZ, N. B. da; ARAKI, H.; OLIVEIRA, Y. M. M. de; ROSOT, M. A. D.; GARRASTAZU, M. C.; KRUEGER, C. P.	
Afiliação: 	Clauber Rogério da Costa, UFPR; Naíssa Batista da Luz, ONU/FAO; Hideo Araki, UFPR; YEDA MARIA MALHEIROS DE OLIVEIRA, CNPF; MARIA AUGUSTA DOETZER ROSOT, CNPF; MARILICE CORDEIRO GARRASTAZU, CNPF; Claudia Pereira Krueger, UFPR.	
Título: 	Análise da exatidão cartográfica das imagens Rapideye adotadas no Inventário Florestal Nacional do Brasil (IFN-BR).	
Ano de publicação: 	2015	
Fonte/Imprenta: 	In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015.	
Páginas: 	p. 3289-3296.	
Descrição Física: 	Disponível online.	
Idioma: 	Português	
Conteúdo: 	The National Brazil's Forest Inventory (IFN-BR), conducted by the Brazilian Forest Service (SFB) with support from the FAO (Food and Agriculture Organization - UN) was established aiming to enable continuous monitoring of forest resources, providing information to support the definition of public policy and management and conservation of these resources. Embrapa Forestry in conjunction with the SFB and the FAO seeks to develop a methodology for landscape analysis in the context of IFN-BR. Both are being used for RapidEye images (level 3A) and tested different remote sensing techniques. In this context, this work aims at analyzing the geometric accuracy between 6 scenes acquired in 2011 and 2012. For both a field survey using GPS receivers monofrequency by the absolute method for precise point (PPP) was conducted and implemented a program in Matlab platform capable of calculating the parameters of displacement and the RMS (root mean square error) of each image relative to the ground. Are also calculated the means and variances of the displacements relative to the ground of the images of 2011 and 2012.	
Palavras-Chave: 	Análise cartográfica; Brasil; Imagem de satélite; Inventário Florestal Nacional; National Forest Inventory; Rapideye.	
Thesaurus Nal: 	accuracy; Brazil.	
Categoria do assunto: 	--	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/125277/1/2015-Yeda-SBSR-AnaliseExatidao.pdf	
Registro original: 	Embrapa Florestas (CNPF)	
Exemplares: 	CNPF - (53817-1) - UPC - AA - DD -  -  -  - DIS