PRELIMINARY INVESTIGATIONS ON FLOOD SUSCEPTIBILITY MAPPING IN ANKARA (TURKEY) USING MODIFIED ANALYTICAL HIERARCHY PROCESS (M-AHP)

6 citations as recorded by crossref.

1. Flood susceptibility mapping in river basins: a risk analysis using AHP-TOPISIS-2 N support and vector machine A. Giacon & A. da Silva 10.1007/s11069-024-06924-3
2. Analyzing sensitivity of flood susceptible model in a flood plain river basin S. Pal & P. Singha 10.1080/10106049.2021.1967464
3. Looking into the green roof scenario to mitigate flash flood effects in Mamak, Turkey, via classifying images of Sentinel-1, 2, and PlanetScope satellites with LibSVM algorithm in Google Earth Engine cloud platform S. Pouya et al. 10.37040/geografie.2022.008
4. Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method F. Hosseini et al. 10.1016/j.scitotenv.2019.135161
5. COĞRAFİ BİLGİ SİSTEMİ TABANLI ANALİTİK HİYERARŞİ SÜRECİ KULLANILARAK TAŞKIN TEHLİKE HARİTALAMASI C. KARAKUŞ & Ş. CEYLAN 10.21923/jesd.1049464
6. A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches T. Islam et al. 10.3390/rs17030524