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Flood Hazard and Risk Mapping by Applying an Explainable Machine Learning Framework Using Satellite Imagery and GIS Data

https://doi.org/10.3390/su14063251
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Encyclopedia of natural hazards
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Support-Vector Networks
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Flood hazard mapping in Jamaica using principal component analysis and logistic regression
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Flood Susceptibility Assessment in Bangladesh Using Machine Learning and Multi-criteria Decision Analysis
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Flood susceptibility assessment using GIS-based support vector machine model with different kernel types
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Flood susceptibility modeling and hazard perception in Rwanda
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Low-cost UAV applications in dynamic tropical volcanic landforms
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An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
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Flash flood impacts of Hurricane Otto and hydrometeorological risk mapping in Costa Rica
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Flood Risk = Hazard • Values • Vulnerability
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Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS
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Flood Risk and Flood hazard maps – Visualisation of hydrological risks
inferredcites →https://doi.org/10.1109/cspa.2019.8695980openalex-snapshot
Developing a Flood Risk Assessment Using Support Vector Machine and Convolutional Neural Network: A Conceptual Framework
inferredcites →https://doi.org/10.1109/cvprw.2019.00077openalex-snapshot
Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles
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Help from the Sky: Leveraging UAVs for Disaster Management
inferredcites →https://doi.org/10.1109/tgrs.2008.2002881openalex-snapshot
Improved Sigma Filter for Speckle Filtering of SAR Imagery
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Sendai Framework for Disaster Risk Reduction 2015-2030
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Remote Sensing of Floods and Flood-Prone Areas: An Overview
inferredcites →https://doi.org/10.3390/ecrs-3-06201openalex-snapshot
Sentinel-1 GRD Preprocessing Workflow
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Big Data in Natural Disaster Management: A Review
inferredcites →https://doi.org/10.3390/hydrology5030039openalex-snapshot
Applications of Open-Access Remotely Sensed Data for Flood Modelling and Mapping in Developing Regions
inferredcites →https://doi.org/10.3390/ijgi6070203openalex-snapshot
Nationwide Flood Monitoring for Disaster Risk Reduction Using Multiple Satellite Data
inferredcites →https://doi.org/10.3390/ijgi8120545openalex-snapshot
Parameters Derived from and/or Used with Digital Elevation Models (DEMs) for Landslide Susceptibility Mapping and Landslide Risk Assessment: A Review
inferredcites →https://doi.org/10.3390/ijgi9120720openalex-snapshot
Flood Susceptibility Mapping through the GIS-AHP Technique Using the Cloud
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Multi-Hazard Exposure Mapping Using Machine Learning Techniques: A Case Study from Iran
inferredcites →https://doi.org/10.3390/rs12010106openalex-snapshot
Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques
inferredcites →https://doi.org/10.3390/rs5020687openalex-snapshot
Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses
inferredcites →https://doi.org/10.3390/s19225012openalex-snapshot
Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review
inferredcites →https://doi.org/10.3390/w11020364openalex-snapshot
Flood Susceptibility Mapping on a National Scale in Slovakia Using the Analytical Hierarchy Process
inferredcites →https://doi.org/10.3390/w11112275openalex-snapshot
A Review of the Internet of Floods: Near Real-Time Detection of a Flood Event and Its Impact
inferredcites →https://doi.org/10.3390/w12010239openalex-snapshot
A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping
inferredcites →https://doi.org/10.3390/w12030683openalex-snapshot
GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment
inferredcites →https://doi.org/10.3390/w14010010openalex-snapshot
Flood Risk-Related Research Trends in Latin America and the Caribbean
inferredcites →https://doi.org/10.5194/hess-24-5781-2020openalex-snapshot
The value of citizen science for flood risk reduction: cost–benefit analysis of a citizen observatory in the Brenta-Bacchiglione catchment
inferredcites →https://doi.org/10.5194/nhess-15-1907-2015openalex-snapshot
Continental Portuguese Territory Flood Susceptibility Index – contribution to a vulnerability index
inferredcites →https://doi.org/10.5194/nhess-18-1493-2018openalex-snapshot
Low cost, multiscale and multi-sensor application for flooded area mapping
inferredcites →https://doi.org/10.5194/nhess-20-1149-2020openalex-snapshot
Invited perspectives: How machine learning will change flood risk and impact assessment
inferredcites →https://doi.org/10.5281/zenodo.3501812openalex-snapshot
A Deep Neural Network Slope Reduction Model on Sentinel-1 Images for Water Mask Extraction

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Flood Vulnerability Assessment Using Satellite Imagery Data
inferred← citeshttps://doi.org/10.4236/gep.2025.131010openalex-snapshot
Concepts and Misconceptions in Climate Change Risk Assessment: Considerations for Sea Level Rise and Extreme Precipitation Risk
inferred← citeshttps://doi.org/10.54021/seesv5n2-559openalex-snapshot
Flood risk mapping using artificial intelligence “application to the east Algerian region”
inferred← citeshttps://doi.org/10.55056/ceur-ws.org/vol-3988/paper13.pdfopenalex-snapshot
EfficientNet Deep Learning Model for Satellite Image Classification Using the EuroSAT Dataset
inferred← citeshttps://doi.org/10.58509/fwt2mm45openalex-snapshot
FLOOD RISK OF GRASSLANDS IN THE MOUNTAIN AREA OF WESTERN ROMANIA
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