Subcategories Multiple Uses of Land Recognized by Land Use and Land Cover Classification System Using LISS-III and NRSC Enumerate Data: Case Study at Medchal Mandal, Hyderabad, India

Abstract

Recognition of compound land possessions in Mandal level often produces complex in precisely classifying land use and land cover (LULC) characteristics. A renovated village, as an Infrastructure development ought to adequate information on several aspects of its performance in direct to compose verdict. LULC is merely a solitary such aspect, to increase significance to conquer problems of declining environmental quality, farmlands, degradation of wetlands, the slaughter of wildlife territory, and water bodies. LISS-III (Linear Integrated self-scanning) images and NRSC (National Remote Sensing Centre) catalog improve LULC classification accuracy at the Mandal level. The results of this investigation reveal that five categories are occupied a large area, followed by buildup land, cropland, forest, industries, and water bodies, (13%, 26%, 9%, 10%, and 13%). The highest contribution is cropland and the lowest contribution is forest land. The unobstructedly available a large amount of satellite data conceding for monitoring of existing land features on a large scale. Cluster-I division contains more dominated LULC categorised villages such as Ravalkole, Gundlapochampally, Medchal, and Sreerangavam villages. LULC classification data applied for investigation of environmental sustainability and problems. This research has been recommended and support for implement rainwater harvesting structures for recharge of groundwater or collection of water in this Medchal Mandal and develop mobile education, higher education institutes, and small-scale industries in villages.