Abstract
Abstract As an important resource, water has a far-reaching impact on various economic activities. In agriculture, water controls the distribution of crops. In this paper, RADARSAT SAR and Landsat ETM+ imagery were used for the extraction of water information. First, radar image was preprocessed by the radar image calibration and filtering. K-T transformation was applied to Landsat ETM+ data for wetness index and NDVI was derived. Finally, the two classification results are compared. The results show that the complementary information of RADARSAT SAR and Landsat ETM+ image can quickly and accurately extract the water information.
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