Título:	Land-cover classification in the Brazilian Amazon with the integration of Landsat ETM + and Radarsat data.
Autor:	LU, D. BATISTELLA, M. MORAN, E.
Afiliación:	D. Lu ( Indiana University); Batistella, M. (Embrapa Monitoramento por Satélite); E. Moran ( Indiana University Bloomington Indiana USA).
Año:	2007
Referencia:	International Journal of Remote Sensing, v. 28, n. 24, p. 5447-5459, 2007.
Descripción:	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. ...
Palabras clave:	Amazon Landsat ETM+ land-cover
ISBN:	1366-5901
DOI:	16.1080f01431160701227596
Tipo de Material:	Artigo de periódico
Acceso:	openAccess
Aparece en las colecciones:	Artigo em periódico indexado (CNPM)