Data/hora: 24/09/2024 07:36:08

Biblioteca(s): 	Embrapa Territorial.	
Data corrente: 	22/04/2008	
Data da última atualização: 	22/08/2014	
Autoria: 	LU, D.; BATISTELLA, M.; MORAN, E.	
Afiliação: 	D. Lu ( Indiana University); Batistella, M. (Embrapa Monitoramento por Satélite); E. Moran ( Indiana University Bloomington Indiana USA).	
Título: 	Land-cover classification in the Brazilian Amazon with the integration of Landsat ETM + and Radarsat data.	
Ano de publicação: 	2007	
Fonte/Imprenta: 	International Journal of Remote Sensing, v. 28, n. 24, p. 5447-5459, 2007.	
ISBN: 	1366-5901	
DOI: 	16.1080f01431160701227596	
Idioma: 	Inglês	
Conteúdo: 	Land-cover classification with remotely sensed data in moist tropical regions in a challenge due to the complex biophysical conditions. This paper explores techniques to improve land-cover classification accuracy through a comparative analysis of different combinations of spectral signatures and textures from Landsat Enhanced Thematic Mapper Plus (ETM +) and Radarsat data. A wavelet-merging technique was used to integrate Landsat ETM + multispectral and panchromatic data or Radarsat data. Grey-level co-occurrence matrix (GLCM) textures based on Landsat ETM + panchromatic of Radarsat data and different sizes of moving windows were examined. A maximum-likelihood classifier was used to implement image classification for different combinations. This research indicates the important role of textures in improving land-cover classification accuracies in Amazonian environments. ...	
Palavras-Chave: 	Amazon; land-cover; Landsat ETM+.	
Categoria do assunto: 	--	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/107127/1/2101.pdf	
Registro original: 	Embrapa Territorial (CNPM)	
Exemplares: 	CNPM - (2101-1) - UPC - AP - PP - 07/049 - AP - 2007.049 - DIS