Special Issue "Disaster Monitoring Using Remote Sensing"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".

Deadline for manuscript submissions: 30 September 2021.

Special Issue Editors

Prof. Dr. Jinmu Choi
Website
Guest Editor
Department of Geography, Kyung Hee University, Seoul, Korea
Interests: geography; GIS; remote sensing; disaster; environmental information systems
Prof. Dr. Duk-jin Kim
Website
Guest Editor
School of Earth and Environmental Sciences, Seoul National University, Seoul, Korea
Interests: disaster monitoring; deep learning; radar image processing; environmental changes
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Human beings are rapidly developing with the spread of geospatial technology and artificial intelligence, and the world is leading a rich life with the help of technology. War and disease, which, along with its superior technology, have shortened the life span of humankind, continue to diminish. Nevertheless, the size of disasters is growing, causing many casualties and property damage.

Since it is difficult to accurately predict when, where, and how large a disaster occurs, it is an event that has a huge ripple effect on social and economic damage. In particular, natural disasters can be very large in scale, so it is important to quickly detect the scale and progress of disasters through continuous monitoring. For such disaster monitoring, various kinds of satellite-based sensors, high-altitude photos and images of aircraft and drones, MMS (multiple mobile sensors), CCTV (closed-circuit television), etc. can be utilized. In addition, comprehensive situation awareness and decision support for disaster response can be provided by conducting various spatial analysis, including damage estimation, isolation site analysis, and evacuation route analysis, in connection with the recognition of disaster situations from such remote sensing information.

In view of the development and consideration of remote sensing technology, this Special Issue will collect manuscripts on new technologies and solutions to image-based disaster information extraction that help with disaster monitoring and situational awareness. In addition, GIS analysis using remotely sensed information in relation to the recognition of disaster situations is included as a topic of interest.

Prof. Dr. Jinmu Choi
Prof. Dr. Duk-jin Kim
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 papers will be 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 2200 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
  • Disaster monitoring
  • GIS analysis
  • Satellite images
  • CCTV (closed-circuit television)
  • Drones
  • MMS (multiple mobile sensors)

Published Papers

This special issue is now open for submission.
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