Application of Remote Sensing and GIS in Prediction Hydrogeological Hazards
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrogeology".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 379
Special Issue Editors
Interests: artificial intelligence (GeoAI); extended reality (XR); geographic information systems (GISs); HCI; culture technology; metaverse
Special Issues, Collections and Topics in MDPI journals
Interests: geospatial artificial intelligence (GeoAI); geosciences, natural hazard; machine/deep learning algorithms; geographic information system (GIS); remote sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Hydrological hazards, including floods and droughts, pose significant threats to ecosystems, infrastructure, and human well-being. These challenges are exacerbated by climate change, urbanization, and land-use alterations, necessitating innovative strategies for their prediction and management. Remote sensing technologies, when combined with Geographic Information Systems (GISs) and spatial modeling techniques, offer robust tools for assessing hydrological risks and understanding processes at multiple scales. These approaches enable real-time monitoring, risk mapping, and scenario-based forecasting, empowering researchers and policymakers to make informed decisions for sustainable water resource management.
This Special Issue will highlight recent advancements in the application of remote sensing, GISs, and spatial modeling to hydrological hazard prediction and management. By fostering interdisciplinary collaboration, it will contribute to the development of innovative methodologies and practical tools to address these pressing challenges.
Topics of interest include, but are not limited to, the following:
- Advances in remote sensing technologies for hydrological hazard monitoring;
- Integration of multi-source remote sensing data for hazard prediction;
- Machine learning and AI applications in remote sensing for hydrological modeling;
- Real-time monitoring and early warning systems for floods and droughts;
- GIS-based spatial modeling for hazard prediction and vulnerability assessment;
- Applications of spatiotemporal modeling in hydrological hazard prediction;
- Evaluation of the reliability and accuracy of geospatial data in hazard prediction.
We look forward to receiving your valuable contributions to this Special Issue.
Prof. Dr. Abolghasem Sadeghi-Niaraki
Dr. Seyed Vahid Razavi-Termeh
Guest Editors
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Keywords
- hydrological hazards
- spatial modeling
- geographic information systems (GISs)
- remote sensing
- flood prediction
- drought monitoring
- geospatial artificial intelligence (GeoAI)
- climate change impacts
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