| Popis: |
Identification of Land Use/Land Cover (LU/LC) dynamics by using remote sensing data is essential information for numerous decision support systems in the context of conservation of natural resources and sustainable development. Four years (1991, 2001, 2013 and 2021) were selected for this current study. Landsat TM, OLI/TIRS images of 30m resolution and ArcGIS map were utilized to detect the changes. Five land cover classes (water bodies, forest, built up, bare land, and agriculture land) were identified and an accuracy assessment was carried out by using kappa coefficient. According to the results of classification, the overall accuracies were 78.78%, 95.4%, 92%, 100% and the kappa coefficients were 56.87, 94%, 92% and 73% for the years 1991, 2001, 2013 and 2021, respectively. The final classification maps indicate declines by 64% of bare land and by 3% of water bodies, with 21% built-up area increase. LU/LC changes will help the policy makers to ensure sustainable regional planning and development. |
