Reprint
AI for Natural Disasters Detection, Prediction and Modeling
Volume I
Edited by
October 2026
424 pages
- ISBN 978-3-7258-9077-4 (Hardback)
- ISBN 978-3-7258-9078-1 (PDF)
Print copies available soon
This is a Reprint of the Topic AI for Natural Disasters Detection, Prediction and Modeling that was published in
This Reprint is part of the book set AI for Natural Disasters Detection, Prediction and Modeling.
Environmental & Earth Sciences
Summary
This Topic presents recent advances in the application of artificial intelligence for the detection, prediction, and modeling of natural disasters. It highlights innovative research that combines machine learning, deep learning, computer vision, remote sensing, geospatial analysis, and multimodal data to improve hazard monitoring, risk assessment, and early warning systems. The contributions cover a broad range of natural hazards, including wildfires, floods, tropical cyclones, landslides, earthquakes, and severe storms, while addressing challenges related to forecasting accuracy, explainability, scalability, and real-world deployment. By bringing together state of the art methodologies and practical applications, this Reprint provides researchers, practitioners, and decision-makers with valuable insights into how AI technologies can strengthen disaster preparedness, response, and resilience in a changing climate.