Natural Hazard Assessments through Soft Computing methods and GIS-based modeling

Dear Colleagues,

The overall goal of the special issue “Natural Hazard Assessments through Soft Computing methods and GIS-based modeling” is to provide a forum for advancing the successful implementation of Soft Computing methods and Geographic Information Systems, for the assessment of Natural Hazards. Natural Hazards, which include earthquakes, floods, landslides, volcanic eruptions and wildfires, appear as a result of the progressive or extreme evolution of climatic, tectonic and geomorphological processes but also the impact of human activities.

Soft Computing methods, which include methods that are based on the concept of fuzzy and neuro-fuzzy logic, decision tree models, artificial neural networks, deep learning and evolutionary algorithms, are utilized as promising tools to analyze the spatial and temporal occurrence of Natural Hazards. Soft Computing methods are characterized by their ability to produce knowledge and discover hidden and unknown patterns and trends from large databases, whereas Geographic Information Systems (GIS) appears as significant technology equipped with tools for data manipulation and advanced modeling.

This Special Issue aims to provide an outlet for peer-reviewed publications, that implement state-of-the-art methods and techniques incorporating Soft Computing methods and GIS to map, monitor, predict, and assess Natural Hazards. This special issue aims to cover, without being limited to, the following areas: (a) Evaluating of loss and damages after earthquakes, floods, landslides and wildfires, (b) monitoring, mapping and assessing landslides, floods and wildfires.

Dr. Paraskevas Tsangaratos
Dr. Ioanna Ilia
Mr. Haoyuan Hong
Guest Editors

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