AI for Natural Disasters Detection, Prediction and Modeling

Dear Colleagues,

In recent years, we have witnessed escalating climate change and its increasing impact on global ecosystems, human lives, and the world economy. This situation calls for advanced tools that can leverage artificial intelligence (AI) for the early detection, prediction, and modeling of natural disasters. The increasing frequency and intensity of events such as wildfires, flooding, storms, and other catastrophic incidents necessitate innovative approaches for mitigation and response. This call for papers invites contributions that address the critical aspects of this interesting field, focusing on the integration of AI methodologies with remote sensing data. We encourage submissions that span a wide range of topics, including reviews of state-of-the-art AI applications for natural disaster management, risk assessment and hazard prediction; the use of AI to detect and track specific events; modeling techniques employing AI; and the development of advanced forecasting models utilizing AI methodologies.

The aim of this call is to bring together researchers and experts from various areas to foster collaborative efforts in developing cutting-edge solutions that will enhance our ability to anticipate, understand, and respond to the increasing challenges posed by natural disasters in an era of climate change.

Dr. Moulay A. Akhloufi
Dr. Mozhdeh Shahbazi
Topic Editors