Evaluation of Land Use Change Trends Using Landscape Measurements (Case Study: Pakdasht City)

Today, urban and rural planning and management programs need to obtain accurate spatial information at successive times about land use changes. The main purpose of this study is to study and evaluate land use changes due to physical development with respect to 4 land uses in Bayer, agricultural lands, water zones and man-made lands in Pakdasht. Data were collected through Landsat satellite images from 2019 and 1989 captured by OLI and MSS5 sensors with a resolution of 30 m, which transformed Landsat 8 and 7 satellite images to 15 m in ENVI 5.3 software. These images were classified in ENVI 5.3 software based on the maximum likelihood algorithm. Then the accuracy of the maps obtained from the maximum likelihood algorithm was estimated. Fragstats software was then used to extract land cover metrics at two levels of the classroom and the simulator. A total of 15 landslides were quantified in the years 1989 to 2019 (1368-1688). According to the results, the area of ​​residential land has increased during the years under study so that its share has increased from %7.1 in the region to %19.5.