Akademik Veri Yönetim Sistemi
TRANSACTIONS IN GIS, cilt.30, sa.1, ss.1-31, 2026 (SSCI, Scopus)
This study aimed to map flood susceptible areas and assess potential impacts at the sub-basin scale in a densely populated touristic region. For this purpose, seven flood conditioning factors were selected: slope, land use/land cover, elevation, rainfall, distance from river, soil, and drainage density. Geographic information system-based analytic hierarchy process (AHP) was used to map flood susceptibility. To validate the flood susceptibility map, a flood inventory map derived from satellite-based remotely sensed imagery (both optical and synthetic aperture radar) was used, and the validation showed a high accuracy of 93.2%. It was found that urban and agricultural areas are the most susceptible to flooding, and most of the hotels and historical/tourist attractions in the region are at risk. The findings highlight that AHP with widely used factors yields reliable results even in data-scarce regions. This approach can assist decision-makers in developing appropriate flood risk management strategies.