AI Summary & Key Takeaways
AI InsightIt has been seen that decrease in barren land/plain and waterbody which has been converted into more in the sand and some portion in agriculture.
📌 3 Key Takeaways
Abstract
Land use and land cover changes at the regional scale are necessary for a wide range of uses, including land planning, global warming, erosion, and landslide, etc. In this study, Land use and land cover change detection were studied by using remote sensing and GIS in taluka Mirpur Mathelo, Ghotki. For this purpose, ArcGIS 10.3 software was used. Firstly, supervised classification performance was applied to Landsat imageries which were acquired in 2013-2020. Image classification of six bands of Landsat imageries was carried out via a maximum likelihood classification process with the help of ground trothing data and signature file for both images 2013-2020 year. The second part focused on the land use and land cover change detection was evaluated with overlapping of the images. The results of the study indicated that severe land use and land cover change detection has occurred in the area during 2013-2020. The total relative change in the settlement is 2439.45 ha (1.94%) during the years. 592.38 ha (0.47%) changed in the vegetation cover. A total change of 3.16 ha (3.16 %) in the sand area. While barren land/plain -5094.63 ha (-4.06%) changed during the years. -1906.2 ha (-1.52%) shortage in the water body. It has been seen that decrease in barren land/plain and waterbody which has been converted into more in the sand and some portion in agriculture.