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 207

Special Issue Editors


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Guest Editor
CEGOT (Centre of Studies on Geography and Spatial Planning), RISCOS, University of Coimbra, 3004-530 Coimbra, Portugal
Interests: natural risks; risk perception; geographical education; sustainability; spatial analysis
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Centro de Estudos de Geografia e Ordenamento do Territóriodisabled, Coimbra, Portugal
Interests: natural risks; risk perception; geographical education; sustainability; spatial analysis

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Guest Editor
CeiiA—Centre of Engineering and Product Development, Lusofona University of Porto, Porto, Portugal
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

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. Water 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 2600 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.

Keywords

  • natural risks
  • risk management
  • remote sensing
  • GIS
  • Artificial Intelligence

Published Papers

There is no accepted submissions to this special issue at this moment.
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