Abstract: This study used geospatial techniques based on multi-source imageries to investigate the effects of Shagari earth dam on its immediate environment in Shagari LGA of Sokoto State. The remotely sensed datasets used include Landsat TM 1994, Landsat ETM+ 2005 and Landsat OLI/TIRS 2014 which covered a period of 20 years. A supervised classification using maximum likelihood was also done on the images in other to delineate and identify the different land/use land/cover classes. The result of the land use land cover classification revealed an increase with waterbody Landsat TM 2005 having 0.98% and farmland 15.40%, Landsat ETM+ 2005 with waterbody 1.67% and farmland 37% and Landsat OLI 2014 with waterbody 7.79% and farmland 50% respectively over the years..............
Keywords: Change Detection, Landsat OLI/TIRS, Remote Sensing, Shagari earth dam, Vegetation
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