Decadal Land Use Land Cover Change Analysis using Remote Sensing and GIS in Nagpur city of Maharashtra, India

Abstract

An attempt has been made to analyze the LULC change pattern of Nagpur over the past decade (2010-2020) using remote sensing and GIS. In this study, the LULC map for selected years was prepared by supervised classification using a maximum likelihood algorithm from Landsat data, and accuracy assessment by confusion matrix. The results showed that there were major changes in built-up areas (17.37% expansion) and barren land (19.32% deduction). However, water bodies and forest cover decreased slightly by 0.17% and 0.76%, respectively. Overall, the acreage used for agriculture increased by 2.88% and seems to have been replaced by barren / forest areas. Overall, the LULC change detection algorithms used for classification was very effective with an overall accuracy of 78.88 and 73.30% and a kappa coefficient of 0.74 and 0.67, respectively for 2010 and 2020, considered substantial. Overall, Nagpur's land cover changes constantly due to overcrowding; water and forest bodies are adversely affected by rapid urbanization. The study concludes that previous 10 years of Nagpur LULC trend analysis will help to understand land use change pattern by line departments and take necessary actions to reduce the negative impact of land use and land cover change, as well as proper land use planning and management of the Nagpur city.