Natural Disasters Under Changing Climate
Modeling Strategies, Predictions, and Management
- 1st Edition - September 1, 2026
- Latest edition
- Editors: Omid Rahmati, Zahra Kalantari, Carla Sofia Ferreira, Bahram Choubin, Rares Halbac-Cotoara-Zamfir
- Language: English
Natural Disasters Under Changing Climate: Modeling Strategies, Predictions, and Management is an essential textbook within the natural disaster prediction domain. It functi… Read more
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- Functions as a comprehensive textbook on natural disasters, and focuses on floods, landslides, earthquakes, dust storms, land subsidence, wildfire, sea level rise, drought, snow avalanches, debris flow, and desertification
- Provides unique and cutting-edge research on natural disaster prediction
- Explores novel approaches in the field of artificial intelligence and remote sensing
- Presents scientific frameworks for the spatial prediction of a wide suite of natural disaster types with a focus on their specific triggers and processes
- Offers study questions and case studies for students and instructors at the end of each chapter
2. Spatial Prediction of Flood Hazard Using Data-Mining Models
3. Landslide Susceptibility Modeling under climate change impact: The Role of Machine Learning for Prioritizing Landslide-Chapter
4. Analysis of Earthquake Effects Using DinSAR
5. Mitigation Strategies for Dust Storm with an Interdisciplinary Approach
6. Spatiotemporal Behavior of Landslides Reactivation Using Optic and Radar Satellite Images
7. Spatiotemporal Pattern of Desertification: The Impacts of Land Use and Climate Changes
8. Deep Learning-Based Flood Hazard Assessment
9. Radar-Based Remote Sensing for Land Subsidence Monitoring and Modeling
10. Wildfire Susceptibility Mapping Using Novel Optimized Hybrid Deep Learning Models
11. Vulnerability to Sea Level Rise in Coastal Coupled Social-Ecological Systems
12. Application of MODIS-based Reflectance Spectral Data for Drought Detection and Prediction
13. Snow Avalanche Prediction in Large-Scale Regions Using Deep-Learning and Metaheuristic Algorithms
14. Modeling of Debris Flow Susceptibility Using Artificial Intelligence Approach
15. Detecting Near-Real Time Flood Extent Using Radar-Based Satellite Images
16. Sand Dune Migration Disaster: Monitoring and Protections
17. Dust events and analysis of farmers' resilience measures
18. Heatwave: Mechanisms, Monitoring, and Predictions
- Edition: 1
- Latest edition
- Published: September 1, 2026
- Language: English
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Omid Rahmati
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Zahra Kalantari
Zahra Kalantari has successfully led and carried out interdisciplinary research with focus on understanding of earth and human systems to develop science, technology and innovation solutions to planet’s most pressing environmental challenges associated with the combined effects of changes in climate, land-use and water-use in terrestrial environments.
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Carla Sofia Ferreira
BC
Bahram Choubin
Bahram Choubin is an Assistant Professor at the West Azarbaijan Agricultural and Natural Resources Research and Education Center in Urmia, Iran. He has been working at this center since 2019. Before that, he was a Postdoctoral Researcher at the University of Tehran from 2018 to 2019. He has published more than 50 articles in JCR-indexed journals and is a scientific reviewer for more than 80 ISI journals. According to Elsevier's World Scientists Rankings, he is among the top 2% of scientists in the world. Choubin's primary research interests encompass hydrometeorology, natural hazard prediction, forecasting in ungauged basins (PUB), advanced machine learning techniques, and cutting-edge radar/remodeling applications in hazard assessment. As a prolific co-author of numerous peer-reviewed research articles and book chapters within these fields, Choubin has been recognized with several prestigious awards for his scientific contributions (e.g., from Iran's National Elites Foundation).
RH