Geographic Visualization: Evaluation and Monitoring of Geohazards—3rd Edition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: 20 December 2025 | Viewed by 10
Special Issue Editor
Interests: geographic information system; remote sensing; machine learning; mine reclamation; mineral exploration; hot spot analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are inviting submissions to the Special Issue on Geographic Visualization: Evaluation and Monitoring of Geohazards.
Geohazards (geological hazards), a term that refers to the risk of damage caused by geological processes, include landslides, earthquakes, subsidence, volcanoes, tsunamis, mining hazards, and others. Although geohazards can cause great damage to the natural environment and humans, it is not easy to identify the signs of most geohazards before they occur. Therefore, in order to predict and deal with these geological accidents in advance, it is necessary to monitor changes in the geological environment and evaluate the possibility of their occurrence. Spaceborne, airborne and ground-based sensors can be used for such observations, and the evaluation of hazardous areas on the basis of monitoring data is an important topic of research for this Special Issue. Recently, various data-driven approaches have been used to evaluate geohazards and, depending on the type of geohazard in question, their impact may be local or extensive. Therefore, it is very important to visualize these data effectively, which is why GIS-based geographic visualization and 3D visualization technologies based on virtual reality and augmented reality are also within the scope of this Special Issue.
We invite submissions exploring cutting-edge research and recent advances in the field of geohazards, and both theoretical and experimental studies are welcome, as are comprehensive reviews and survey papers.
This Special Issue will cover a broad spectrum of topics, including (but not limited to) the following:
- Geohazards—landslides, earthquakes, ground subsidence, volcanoes, tsunamis, and mining hazards;
- Monitoring—remote sensing, the Internet of Things (IoT), and ground-based sensors;
- Evaluation—geospatial analysis, machine learning, and numerical analysis;
- Visualization—geographic information systems (GISs), virtual reality (VR), and augmented reality (AR).
Dr. Sung-Min Kim
Guest Editor
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. Applied Sciences 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 2400 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
- geohazards
- landslides
- earthquakes
- ground subsidence
- mining hazards
- geographic information system
- machine learning
- remote sensing
- Internet of Things
- big data
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