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Applications of UAV Based on Artificial Intelligence in Natural Disaster Management and Relief

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Earth Observation for Emergency Management".

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 296

Special Issue Editors


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Guest Editor
Machine Perception Research Laboratory (MPLab), Institute for Computer Science and Control (SZTAKI), Eötvös Loránd Research Network (ELKH), Kende u. 13-17, H-1111 Budapest, Hungary
Interests: computer vision; remote sensing; electrical engineering; artificial intelligence; machine learning

E-Mail Website
Guest Editor
Machine Perception Research Laboratory (MPLab), Institute for Computer Science and Control (SZTAKI), Eötvös Loránd Research Network (ELKH), Kende u. 13-17, H-1111 Budapest, Hungary
Interests: spatial AI; understanding of semantic scenes and their applications for mobile robots
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
National Institute for Land and Infrastructure Management (NILIM), Ministry of Land, Infrastructure, Transport and Tourism (MLIT), Tsukuba 305-0804, Japan
Interests: remote sensing applications; disasters; resilient infrastructure management; digital infrastructure; big data; cloud computing; 3D data processing; 3D-GIS; BIM

Special Issue Information

Dear Colleagues,

In recent years, natural disasters, i.e., hydro-geo-meteorological hazards and risks, have been frequently experienced by both developing and developed countries. Global climate change is leading to an increasing number of unexpected natural disasters, such as earthquakes, floods, landslides, volcanoes, and forest fires. In natural disasters, society infrastructures (buildings, roads, bridges) often collapse or become seriously damaged, usually rendering previously existing evacuation and/or escape routes unusable. Meanwhile, natural forces (wind, heavy rainfall, waves, seismic shocks, etc.) continue to damage disaster-affected areas following the main event(s), as people or groups of people try to reach shelters. Therefore, research on new technologies, algorithms, and methods is needed to improve immediate intervention to reduce or prevent further casualties, as well as to reduce the socio-economic impact of disasters.

This Special Issue (SI) aims to explore the latest developments in unmanned aerial vehicle (UAV)-based exploration, the fusion of information with satellite-based remote sensing, 3D modeling of terrestrial objects, active tracking of humans and vehicles for a better understanding of the environmental conditions and their changes over a disaster area, and the challenges of finding and communicating the best routes for efficient and safe evacuation.

This SI welcomes regular research and review papers addressing different aspects of novel (improved) methods, approaches, or algorithms of UAV-assisted remote sensing, sensor design and calibration, artificial intelligence techniques, and AI-based systems, and their applications in the geosciences, environmental sciences, ecology, and civil engineering in the event of a natural disaster, management, and relief operations.

The topics of interest for this Special Issue include, but are not limited to:

  • UAV-assisted remote sensing;
  • UAV platforms and sensors;
  • UAV-based applications;
  • 3D geometric reconstruction;
  • Lidar and laser scanning;
  • Image processing and pattern recognition;
  • Multispectral and hyperspectral remote sensing;
  • Change detection;
  • Data fusion and data assimilation;
  • Remote sensing applications;
  • Natural disaster risk management and relief.

Prof. Dr. Tamás Szirányi
Dr. András Majdik
Dr. Young-Joo Kwak
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.

Dr. Andras Majdik
Prof. Dr. Tamás Szirányi
Dr. Young-Joo Kwak
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.

Keywords

  • remote sensing
  • UAV imaging
  • satellite imaging
  • infrastructure damage detection
  • degree of danger of collapse
  • rescue plan

Published Papers

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