LAND USE AND LAND COVER (LULC) SURVEY THROUGH REMOTELY SENSED DATA FOR THE ANALYSIS AND MANAGEMENT OF NATURAL RESOURCES IN GAYA DISTRICT (BIHAR), INDIA.

Land use change is an inevitable process. Earlier ages, land use was very limited but the development with the time, the land use has expanded. Remotely sensed data and GIS techniques has given a wide scope to explore these changes over the time. The study focuses on to investigate the changes over time that have been taken place during the period of 1994 to 2019 for suggestive measures for sustainable development, planning and management. The study was done through Remotely sensing data and GIS technique. Supervised classification are developed to classify LULC. LISS III (Nov 1994, 2018 & March 1995, 2019) images are used for the analysis for change detection. Changes have been authenticating through the deep calculation and analysis of all the available images using supervised classification in Arc GIS software. Changes have been calculated on the basis of increase and decrease of area under particular LULC class on a given period of time. Eight main class are focused under investigation for change detection. They involve barren land, fellow land, forest, agricultural land, sand bar, built-up land, water bodies and river. Cropland and buildup area are the main feature of change detection during all the selected year. Study shows that build up area increase tremendously. But cropland and forest area decrease rapidly. Result shows that due to increase in population and desire of more development result turning of villages into town and urban into metropolitan with full of concreate forest. Surface water also decrease due to climate change resultant of LULC. Here cropland has change from 31.31% to 29.32%, barren lang change from 6.42% to 7.22%, build-up area change from 6.26% to 12.49%, forest change from 18.60% to 12.46%, water bodies change from 11.75% to 8.64%, fellow land change form 20.68% to 14.48% and sand bars change from 4.98% to 15.39%.