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Rockfall Hazard Analysis Using Remote Sensing Techniques (Second Edition)

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

Deadline for manuscript submissions: 30 September 2024 | Viewed by 230

Special Issue Editors

School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China
Interests: intelligent representation and calculation of geological information; geological environment monitoring and evaluation; geospatial information
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State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China
Interests: InSAR; optical remote sensing; landslide detection and monitoring
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School of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China
Interests: SAR; InSAR; land subsidence; landslides; glacier movement; collapse
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Department of Technology of Computers and Communications, University of Extremadura, 10003 Caceres, Spain
Interests: hyperspectral imaging; parallel computing; remote sensing; geoscience; GPU
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Special Issue Information

Dear Colleagues,

Rockfall is one of the most dangerous and harmful phenomena in mountainous and hilly areas. Such incidents can cause huge losses of people, property, and infrastructure. Therefore, appropriate rockfall hazard analysis methods are needed to save lives and provide guidance for regional development. The development of remote sensing has seen this technology become an important technical means, and it has been popularly used in numerous studies. Unmanned aerial vehicle (UAV) photogrammetry and 3D laser scanning have been successively applied to the early identification of rockfall hazards, and multi-temporal imagery data acquired by optical satellites and aircrafts are used to identify potential rockfall source areas.

This Special Issue aims to cover studies exploring different means of remote sensing data acquired by various platforms or sensors in rockfall hazard analysis.

This Special Issue aims to publish high-quality research papers, as well as salient and informative review articles addressing emerging trends in remote sensing-based rockfall hazard analysis.  Original contributions in relevant areas, that are not currently under review in a journal or a conference, are welcome. We look forward to receiving your contributions.

Dr. Tao Chen
Prof. Dr. Weile Li
Prof. Dr. Chaoying Zhao
Prof. Dr. Antonio J. Plaza
Prof. Dr. Chong Xu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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.


  • remote sensing-based rockfall mapping and measurement
  • remote sensing-based methods for rockfall hazard analysis
  • rockfall-triggering factors
  • parameters for rockfall analysis
  • detection and characterization of rockfall
  • landslides
  • rockfall monitoring
  • optical/multispectral/hyperspectral image processing
  • unmanned aerial system (UAS)

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Published Papers

This special issue is now open for submission.
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