01492naa a2200205 a 450000100080000000500110000800800410001902200140006002400350007410000110010924501110012026000090023152008910024065300110113165300150114265300170115770000190117470000140119377300790120710176782014-08-22       2007    bl uuuu     u00u1 u    #d  a1366-59017 a16.1080f014311607012275962DOI1 aLU, D.  aLand-cover classification in the Brazilian Amazon with the integration of Landsat ETM + and Radarsat data.  c2007  aLand-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. ...  aAmazon  aland-cover  aLandsat ETM+1 aBATISTELLA, M.1 aMORAN, E.  tInternational Journal of Remote Sensinggv. 28, n. 24, p. 5447-5459, 2007.