Analysis of changes in land use and land cover in Central Kashmir of the Great Himalayas using geospatial technologies

Abstract

Remote sensing data may identify changes in land use and land cover (LU/LC). Land cover changes include changing from one land cover category to another and changing conditions within a category. LU/LC change is an essential aspect of current environmental management techniques. It is vital for land conservation, sustainable development, and water resource management. The study's goal is to investigate changes in land use and land cover in Central Kashmir of the Great Himalayas. This study used LISS III 23.5 m resolution images between 2000 and 2017 to detect land cover change. Changes were identified using Arc GIS 10.4.1. This method identified seven land use/cover classes: water bodies, glaciers/snow; forests; agriculture; horticulture; wasteland/barren; and built-up/utility. Ground truthing was done to test the accuracy of the preprocessing and categorization of the images. This study found that in the previous 17 years, all land use classes in Central Kashmir have changed significantly. Remote sensing and Geographic Information Systems (GIS) have been used to better comprehend the consequences of physical changes. The study's findings can be used to design resource conservation measures. To protect unwanted LU/LC change in Central Kashmir, proper land management methods, integrated watershed management, and community engagement should be encouraged.

Keywords

• Arc GIS
• Change Detection
• Kappa Coefficient
• Satellite Imagery
• Supervised Classification