Spatio-temporal analysis land use land cover changes in South Kashmir region of North-western Himalayas using Landsat data

Abstract This paper presents a comprehensive analysis of the spatial patterns and temporal dynamics of land use and land cover changes in South Kashmir from 2000 to 2022 leveraging remote sensing technologies revealing significant transformations in various land cover classes. The study used maximum likelihood classification, a supervised classification method, to analyze Landsat satellite imagery and identify ten major land use categories. The findings demonstrate notable increases in, barren land by 18.78 km 2 (0.35%), built-up areas by 72.28 km 2 (1.33%), forests by 274.76 km 2 (5.05%), grasslands by 68.06 km 2 (1.25%), scrubland by 307.82 km 2 (5.66%). horticulture experienced a significant rise of 419.17 km 2 (7.70%), Conversely, several land use classes reported decline, agriculture by 757.21 km 2 (13.91%), exposed rockmass by 258.58 km 2 (4.75%), glaciers and snow by 136.83 km 2 (2.51%), and water bodies contracted by 8.23 km 2 (0.15%). The primary drivers of land use change in the region are identified as climate change, population growth, and economic factors. Climate change has altered precipitation patterns affecting agricultural productivity and leading to the retreat of glaciers. Population growth and economic reasons, including the rise of horticulture and changes in land use policies, have also played a significant role in shaping the landscape dynamics of South Kashmir. These changes underscore the dynamic nature of land use in South Kashmir, with significant implications for regional planning and environmental management. The study underscores the cost-effectiveness and efficacy of geospatial technologies in conducting spatiotemporal analyses and formulating evidence-based policies for the sustainable management of natural resources.