Abstract
This study aims to detect land-use and land-cover changes in Baramulla district of Kashmir valley using geospatial technology. This district is affected by large-scale changes in agriculture, horticulture, built-up and dense forest. Satellite data of 1979, 2001 and 2018 are used to generate land-use and land-cover classification using on-screen digitization. This classification includes agriculture, horticulture, built-up, dense forest, barren land, water body, pasture, scrub and sparse forest. Furthermore, census data of 2001 and 2011 are correlated with the thematic maps generated from on-screen digitization. Environmental driving factors like precipitation, temperature and black carbon (BC) data were used to relate with land-use and land-cover changes over the study area. The present research reports a decrease of about 54.99% in agricultural area form 1979 (401.81 km2) to 2018 (180.87 km2). Furthermore, horticulture has increased by 35.52% from 1979 (334.38 km2) to 2018 (518.65 km2). Dense forest shows a decrease of about 27.46% from 1979 (777.54 km2) to 2018 (563.99 km2). We also report a decadal increase of about 7.71 nm during winter and 3.47 during summer in black carbon. Increase in BC concentration and temperature over study area results in snow melt. We also report an annual decreasing trend of about 1.74 cm in precipitation over study area. Decrease in precipitation results in conversion from agriculture to horticulture. Results presented in this research highlight the importance of policy making to minimize the rapid changes in land-use and land-cover over study area.
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Meer, M.S., Mishra, A.K. Remote Sensing Application for Exploring Changes in Land-Use and Land-Cover Over a District in Northern India. J Indian Soc Remote Sens 48, 525–534 (2020). https://doi.org/10.1007/s12524-019-01095-2
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DOI: https://doi.org/10.1007/s12524-019-01095-2