![]() ![]() Finally the mine waste hazard map has been prepared from the spectral characteristics of digital image analysis, laboratory assessment of different elements present at Daitari iron ore mines and getting the idea of generating various maps like contour map, aspect map, flow direction map etc. Also the area with vegetation land was decreased by 47.16% and waste dump increased from 18.2% to 28.7% in Daitari test site area. ![]() It was observed that the built up area and mining area were increased from 8.32% to 29.13% and 14.85% to 30.7% respectively between 20. Supervised classification methodology using maximum likelihood technique was employed in ENVI 4.5 software. This paper also delineates to propose a land use- land cover (LULC) classification scheme, evaluate their accuracy in different years and to detect the land cover changes from 2000 to 2017 in this mining area using digital image-processing. The main objective of this study is to investigate the environmental impacts of Daitari iron-ore mines zone using Landsat TM (2000), Landsat ETM7+ (2010), Landsat8 (2015) and Landsat8 (2017) satellite data. ![]()
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