Application of Remote Sensing, GIS and Artificial Intelligence in Natural Risks Management
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "New Sensors, New Technologies and Machine Learning in Water Sciences".
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 284
Special Issue Editors
Interests: natural risks; risk perception; geographical education; sustainability; spatial analysis
Special Issues, Collections and Topics in MDPI journals
Interests: natural risks; risk perception; geographical education; sustainability; spatial analysis
Special Issue Information
Dear Colleagues,
Interest in the study of risks has increased mainly since the second half of the 1950s, partly due to the increase in disasters, but also thanks to the higher economic and social costs generated not only by human and economic losses, but also by the recovery and reconstruction of affected areas. Considering that global environmental projections suggest that climate and hydrological systems will be subject to major changes in the coming decades, there is an urgent need to implement programs aimed at more effective prevention measures in the management of natural hazards.
Remote sensing, GIS, and artificial intelligence appear to be very effective in preventing, mitigating, and managing risks.
In this Special Issue, we seek contributions concerning, but not limited to, applications of remote sensing, GIS, and artificial intelligence data/techniques, possibly combined with other approaches, to better monitor, understand, and manage physical processes responsible for a range of natural hazards. Especially manuscripts using new techniques, methodologies, and innovative results are welcome
Dr. Bruno Martins
Dr. Adélia N. Nunes
Dr. Paulo Figueiredo
Guest Editors
Manuscript Submission Information
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Keywords
- natural risks
- risk management
- remote sensing
- GIS
- Artificial Intelligence
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