ABSTRACT
This research aims to evaluate the impact of the most recent floods that occurred on August 20, 2022, in Logar province in southern Afghanistan. For this purpose, changes in land use and land cover (LULC) of the study area were created from the Sentinel-2 image with a spatial resolution of 10 meters. To achieve this, the study utilized Sentinel-2 images to analyze LULC changes before and after the flood event and employed a support vector machine for supervised classification. The study also applied the analytical hierarchy process (AHP) to evaluate the future risks of flooding in the study area, focusing on factors related to hydrological phenomena. Overall, the study demonstrates the effectiveness of geospatial technologies and remote sensing in assessing the impacts of floods and creating flood risk maps. This can significantly reduce the consequences of flooding and inform decision-making for disaster management and mitigation.
Keywords: Flood, Remote sensing, Senteinel-2, SNAP, AHP, GIS, and Multi-criteria decision making.
Citation: Ahmadi K, Sahak AS, Azizi AB, Saraj MA, and Sahak AT. (2024). Analyzing flood damage and mapping flood hazard zones using AHP model: a case study of Pol-e-Alam, Logar province, Afghanistan. Aust. J. Eng. Innov. Technol., 6(2), 37-50. https://doi.org/10.34104/ajeit.024.037050
