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Effect of seasonal spectral variations on land cover classification
Authors:D P Sharma  Leon Bren
Institution:1. Department of Silviculture and Agroforestry, University of Horticulture and Forestry, Nauni, 173 230, Solan, India
2. Department of Silviculture and Agroforestry, School of Forestry, the University of Melbourne, Creswick, 3363, Victoria, Australia
Abstract:The supervised classification (Maximum likelihood) on three dates of IRS (LISS III) satellite data was performed to study the effect of seasonal spectral variation on land cover classification for the study area falling in the Solan district of Himachal Pradesh at latitude 30° 50’ N to 31° ’N and longitude 77° 00’ E to 77° 15’ E. It was found that the summer dataset was better with overall classification accuracy of 76% as compared to winter and spring dataset with classification accuracy of 49 and 46%, respectively.
Keywords:
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