IMPACT OF LAND-USE CHANGE ON AGRICULTURAL PRODUCTION & ACCURACY ASSESSMENT THROUGH CONFUSION MATRIX

Abstract

Land modification and its associated resources have grown considerably to be aserious issue that is currently attracting attention on a global scale, and they now form the core ofenvironmental protection and sustainability. The current study used remote sensing and GIS techniquesto evaluate land-use changes and their impacts on agricultural productivity over the study area, whichincluded Tehsil Shorkot, District Jhang, Punjab, Pakistan. Arc GIS and ERDAS Imagine 15 softwarewere used for image pre-processing in order to stack the layers, sub-set them, and mosaic the satellitebands. After pre-processing the photos, a maximum likelihood technique was used in a supervisedimage classification scheme to identify the land-use changes that had been noticed in the research area.The goal of the current study was. In 2010, there were 9.6 km2 under water. By 2015, there were 21.04km2, and by 2020, there were 19.4 km2. In 2010, there were 16.6 km2 of built-up land; this numberrose to 19.4 km2 in 2015 and 26.8 km2 in 2020. The total area covered by vegetation was estimated tobe 513.2 km2 in 2010, 601.6 km2 in 2015, and 717.7 km2 in 2020. The area covered by forest land usedeclined with time, from 90.8 km2 in 2010 to 86.7 km2 in 2015 to 61.84 km2 in 2020, indicating adownward trend. The area used for bare land in 2010 was 528.54 km2, which significantly reduced to429.64 km2 in 2015 and then to 333.1 km2 in 2020. The area of arid terrain that was once used foragriculture has dramatically shrunk. The results of this research will be beneficial for future land-useplanning, urban and regional development, and a growth in agricultural production of different crops inthe study area.