Changes Detection Using Multispectral Satellite Images for Sustainable Development in some Regions of Al-Najaf Al-Ashraf, Iraq.
change detection in urban and surrounding areas, such as vegetation and bare, is a significant achievement for sustainable development, especially nowadays. The research used a supervised classification technique of two images representing two time periods (1973 and 2023) by applying the technique of land cover and land use (LCLU) using the ArcGIS 10.8.2 program. The classified pixels were converted into digital data to compare the using of the land cover method and land use change (LCLUG). The results showed a significant expansion in the urban areas of Najaf and Kufa districts, from 5.72 km2 to 134.95 km2, with a decrease in the area of green areas, from 17.26 km2 to 15.16 km2, and the absence of water areas, in addition to the transformation of most of the barren areas to urban areas (215.64 km2 to 88.51 km2). The study concluded that there was a significant decrease in green areas and the absence of water bodies in urban areas, and these are two indicators - along with the increase in urban areas can harm the environment of the region and the quality of environmental influences on the lives of the people who live in it. Finally, this, in turn, would negatively affect its sustainable development plans.