Advanced Artificial Intelligence and Remote Sensing Techniques in Modeling and Monitoring of Natural Disasters

Dear Colleagues,

The integration of Artificial Intelligence (AI) and remote sensing has significantly improved our capability to forecast, model, and monitor natural hazards. The convergence of these cutting-edge technologies has ushered in a new era of innovation, resulting in remarkable progress in addressing the unpredictable forces of nature. This Special Issue focuses on the development of novel approaches and innovations, with AI serving as the backbone in conjunction with remote sensing (RS) technologies. We encourage contributions focusing on developing AI algorithms, exploring novel approaches, and integrating trending AI with geospatial techniques.

Natural hazards, such as earthquakes, floods, bushfires, and cyclones, pose serious threats to human lives and the environment. Predicting these events has been challenging and complex. Machine learning algorithms play a crucial role in scrutinizing vast datasets from multiple sources, including airborne and spaceborne satellites, as well as drones. AI-based models enable real-time predictions, early warnings, and the identification of vulnerable areas. Remote sensing is an indispensable tool for studying the Earth's surface and environment. The integration of AI algorithms into remote sensing information empowers researchers, scientists, and disaster management agencies in pattern recognition and identifying elusive correlations.

This Special Issue aims to publish studies covering the prediction, prevention, and understanding of natural hazards in urban areas. More specifically, the main goal of this Special Issue is to explore new deep/machine learning models for predicting and monitoring natural hazards in urban areas that pose threats to both population and infrastructure.

We highly welcome multiscale and multidisciplinary articles focusing on all aspects of natural hazard monitoring, mapping, and modeling, including comprehensive assessment and evaluation of meteorological, geological, hydrological, and extraterrestrial hazards along with their respective solutions and recommendations. This Special Issue may cover, but is not limited to, the following areas:

• AI-based image processing;
• GeoAI on classification and prediction;
• AI in earthquake hazard mapping and early warning;
• AI-aided spatial data and model integration;
• Novel AI algorithm development;
• Integrating AI in various applications of Google Earth Engine;
• Vulnerability and risk prediction using AI algorithms;
• ML-based damage detection;
• Spatial modeling in landslide and flood detection;
• Coastline hazard prediction using AI;
• AI-based bushfire monitoring and mapping;
• Cyclone monitoring using AI technologies.

Dr. Ratiranjan Jena
Prof. Dr. Rami Issa Al-Ruzouq
Dr. Abolfazl Abdollahi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• artificial intelligence
• natural disasters
• image processing
• mapping