Assessment of land use land cover changes through remote sensing data in Multan Tahsil

Abstract

Land use land cover (LULC) changes are fundamental aspects of our evolving environment, reflecting the dynamic interplay between human activities and natural processes. Current study, executed to estimate LULC changes in seasonal intervals 2000, 2010 and 2020 to generate an accurate database on LULC changes from 2000 to 2020 in Multan tahsil (Pakistan) using RS data. Data were preprocessed in Arc GIS 10.1 and ERDAS IMAGINE software’s for layer stacking, mosaicking, and sub setting. After pre-proceed, the iterative self-organized supervised clustering algorism (ISODATA) of ERDAS IMAGINE software was used to perform the supervised classification. ‘Built-up area’ in 2000 occupied 15.54 % of all the classes. But in 2020, build-up area increased (911.92 %) as compare to 2020. ‘Vegetation area’ in 2000 occupied the class with 72.312 %, but in 2020 vegetation area decreased (5.06 %) as compare to 2020 and similarly ‘bare soil’ decreased (5.77 %). The study shows that building area is increasing from 2000 to 2020. Increase in building area indicates increase in population in this tahsil. Our results about LULC changes are an essential tool for informed decision-making and sustainable land management.