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Integrating Hydrological Modelling with Machine Learning for Flood Susceptibility Assessment in the Nam Mong River Basin, Thailand
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Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method
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Application of random forest (RF) for flood levels prediction in Lower Ogun Basin, Nigeria
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Mapping flood and flooding potential indices: a methodological approach to identifying areas susceptible to flood and flooding risk. Case study: the Prahova catchment (Romania)
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Topography Wetness Index Application in Flood-Risk-Based Land Use Planning
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Flood Risk Assessment Combining Machine Learning with Multi-criteria Decision Analysis in Jiangxi Province, China
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Application of HEC-RAS and HEC-GeoRAS model for Flood Inundation Mapping, the case of Awash Bello Flood Plain, Upper Awash River Basin, Oromiya Regional State, Ethiopia
inferredcites →https://doi.org/10.1007/s40899-024-01150-yopenalex-snapshot
GIS and AHP-based flood susceptibility mapping: a case study of Bangladesh
inferredcites →https://doi.org/10.1016/j.envsoft.2013.03.006openalex-snapshot
Application of the HEC-HMS model for runoff simulation in a tropical catchment
inferredcites →https://doi.org/10.1016/j.ijdrr.2017.08.003openalex-snapshot
Flood risk management in Thailand: Shifting from a passive to a progressive paradigm
inferredcites →https://doi.org/10.1016/j.ijdrr.2025.105693openalex-snapshot
Identifying social vulnerability profiles for coastal flood using supervised and unsupervised machine learning: A case study of Lekki Peninsula, Lagos, Nigeria
inferredcites →https://doi.org/10.1016/j.jhydrol.2020.125531openalex-snapshot
Evaluating the performance of random forest for large-scale flood discharge simulation
inferredcites →https://doi.org/10.1016/j.scitotenv.2025.180592openalex-snapshot
Mapping flood susceptibility using Random Forest exploiting satellite observations and geomorphic features
inferredcites →https://doi.org/10.1080/19475705.2017.1294113openalex-snapshot
Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS
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Flood susceptibility mapping in the Nyabarongo Catchment, Rwanda, based on data analysis and modeling
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Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch
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Application of machine learning algorithms for flood susceptibility assessment and risk management
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Flood risk assessment using analytical hierarchy process: A case study from the Cheliff-Ghrib watershed, Algeria
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Flood-Prone Zones of Meandering Rivers: Machine Learning Approach and Considering the Role of Morphology (Kashkan River, Western Iran)
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Flood Prediction Using Machine Learning Models: Literature Review
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Watershed Prioritization of Kaeng Lawa Sub-Watershed, Khon Kaen Province Using the Morphometric and Land-Use Analysis: A Case Study of Heavy Flooding Caused by Tropical Storm Podul
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An Overview of Multi-Criteria Decision Analysis (MCDA) Application in Managing Water-Related Disaster Events: Analyzing 20 Years of Literature for Flood and Drought Events
inferredcites →https://doi.org/10.3390/w13213115openalex-snapshot
Flood Risk Mapping by Remote Sensing Data and Random Forest Technique
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Integration of Remote Sensing and Machine Learning Approaches for Operational Flood Monitoring Along the Coastlines of Bangladesh Under Extreme Weather Events
inferredcites →https://doi.org/10.3390/w17182678openalex-snapshot
Combining Machine Learning Models and Satellite Data of an Extreme Flood Event for Flood Susceptibility Mapping
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