Change Detection for LULC Classification Using Satellite Imagery

Abstract

Change Detection for LULC Classification Using Satellite Imagery. To maintain the present natural resources and to understand the causes and consequences of over exploitation of soil and water resources the land use, a land cover mapping and monitoring was done in the study area i.e. Sakoli Taluka. In this study, satellite images for 2015 and 2025 were used for LULC (Land Use/ Land Cover) Supervised / Visually classification. For the classification purposes, Five LULC classes are derived. 1. Agriculture Land, 2.Forest Land and 3.Transportation 4.Urban built-up, 5.Water body For Accuracy Assessment Classification error matrix analysis was done. Change Detection between both the images for all the land use and land cover classes were computed.  One decade Study for Change detection for Sakoli taluka district bhandara using scale 1: 10000 on Landsat 8 imagery between 2015 to 2025. Change Detection for LULC Classification for five classes Agriculture Land Decrease 2025 in 0.95% as compare 2015, Forest Land Decrease 2025 in 1.93% as compare 2015 and Urban built-up Land Increases 0.43% as compare 2015 and Water body Increases 0.66% as compare 2015.