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Remote Sensing for Rock Slope and Rockfall Analysis II

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

Deadline for manuscript submissions: 20 June 2024 | Viewed by 270

Special Issue Editors

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Guest Editor
Department of Engineering Geology and Hydrogeology, RWTH Aachen University, 52064 Aachen, Germany
Interests: rock slope stability; remote sensing; numerical modeling; rock mechanics; geotechnics

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Guest Editor
Department of Civil, Chemical, Environmental, and Material Engineering, Alma Mater Studiorum—University of Bologna, 40136 Bologna, Italy
Interests: landslides; rock mass characterization remote sensing; numerical modelling
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Special Issue Information

Dear Colleagues,

Rock slope instability is a major and widespread phenomenon that can represent significant hazards, especially in areas characterized by high and steep natural or engineered slopes. As a consequence, depending on magnitude, size and velocity, slope failure and rockfall events can cause severe damage, injuries, and casualties. As such, effective mitigation measures are essential to control their effect. Over the last two decades, with the advent of more sophisticated remote sensing and numerical modelling techniques, the approach to rock slope investigation and monitoring has changed substantially. Remote sensing techniques such as LiDAR, radar, and photogrammetry in rock slope analysis have allowed for the rapid and safe acquisition of a huge amount of high-quality information to be used for slope analyses and monitoring. Such techniques represent valuable tools in rock mechanics. However, it is important to highlight that the use of these data both in conventional and more sophisticated numerical analyses can be complex. In this context, this Special Issue will present novel contributions including original research, case studies, and new approaches in rock slope and rockfall analysis and monitoring that take advantage of remote sensing techniques. This will also comprise the use of recent statistical and geotechnical methods, such as a discrete fracture network and advanced rock laboratory testing, that are able to improve understanding surrounding rock behavior.

Therefore, contributions related to the following topic will be welcome:

  • The integration of different remote sensing techniques for rock slope and rockfall analyses;
  • Rock mass characterization;
  • Rock slope stability assessment;
  • Back analysis;
  • Rockfall intensity, velocity, and probability assessment;
  • Rockfall hazard and risk assessment;
  • Rockfall mitigation measures design;
  • Rock slope and rockfall monitoring;
  • Early warning systems and evacuation planning;
  • Numerical modelling.

Dr. Mirko Francioni
Dr. Pooya Hamdi
Dr. Davide Donati
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.

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