The Role of Artificial Intelligence in Detecting Wind Erosion Phenomena in the Eastern Province of Wasit Using RS and GIS and Its Relationship to Sustainable Development

Abstract

Wind is one of the permanent environmental factors in the formation of the general geomorphological appearance, as the work of the wind is familiar anywhere where the surface materials are dismantled and not protected by natural plant. The wind is a geomorphological factor in dry environments with the availability of fine-grained soils, sediments and transport processes through creeping, jumping, scattering or scattering and attachment. The ability of the wind to erose, tract and transport particles of soil and rocks depends on the nature of the surface, soil and rocks as well as on wind speed. There is no doubt that the work of the wind is weaker than the work of water and ice in the process of erosion and transportation, so we find a wide scope for it in the desert areas in which it is active, which forms land forms resulting from their work in rock tables and rocky belisks, as well as other forms resulting from wind sediments represented by sand dunes such as: crescent, longitudinal, nabha (Nabka), star and transverse dunes in areas where wind speed is low. It has become necessary to monitor the areas of the sand dunes using remote sensing data and monitoring the spread of sand dunes. It is important and necessary to control natural risks. Therefore, geomorphological studies are interested in following the latest means and techniques in reaching the most accurate results. Therefore, the study sought to use the best programs such as artificial intelligence in determining the fields of sand dunes and their spaces after using space visuals such as Al-Ghariya fields, Sheikh Saad and Jasan.