Land Cover Mapping Using GIS and Remote Sensing Databases for Al Baha Region Saudi Arabia

Land cover assessment plays a vital role in both current and future planning use of natural resources for sustainable development any country. For the good practice vision 2030 Al Baha region (south-western Saudi Arabia), land was assessed, classified, analyzed using remote sensing databases time series analysis combined with spatial geographic information system (GIS) based on high-resolution Landsat 8 OLI, Sentinel-2 satellite imagery between period study 2017/2018 2021/2022. Based an accuracy kappa test, results indicate that Esri gives highest performance compared to OLI test equal 87% 84%, respectively. On other hand, classification revealed large area water bodies is localized Alaqiq (1.45 km2), Baljurish (0.94 Elmelkhwah (1.57 km2). Furthermore, built 2017 2021 estimated increase by 144 km2 (from 516.5 661.07 which especially significant Qelwah district 16.97 44.16 km2) demonstrated decrease bare ground approximately 320 km2. The crop lands have been increased 162.74% 2017–2021 from 10.39 16.90 km2, particularly at Elmelkhwah. Finally, obtained this research can help decision-makers managers better management region.