Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
8.3
4.2
Journals
Remote Sensing
Special Issues
Rockfall Hazard Analysis Using Remote Sensing Techniques (Second Edition)
remotesensing-logo
Submit to Remote Sensing Review for Remote Sensing Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

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: closed (25 March 2025) | Viewed by 2984

Special Issue Editors

Dr. Tao Chen

E-Mail Website
Guest Editor
School of Geophysics and Spatial Information, China University of Geosciences, Wuhan 430074, China
Interests: remote sensing information models; geohazard prediction; ecological environment monitoring; multimodal data fusion
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Weile Li

E-Mail Website
Guest Editor
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
Interests: landslide detection; landslide monitoring and early warning; InSAR
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Chaoying Zhao

E-Mail Website
Guest Editor
School of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China
Interests: SAR; InSAR; land subsidence; landslides; glacier movement; collapse
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Antonio J. Plaza

E-Mail Website
Guest Editor
Department of Technology of Computers and Communications, University of Extremadura, 10003 Caceres, Spain
Interests: hyperspectral imaging; parallel computing; remote sensing; geoscience; GPU
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Chong Xu

E-Mail Website
Guest Editor
National Institute of Natural Hazards, Ministry of Emergency Management of China, Bejing 100085, China
Interests: landslides; GIS; remote sensing; natural hazards
Special Issues, Collections and Topics in MDPI journals

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 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-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
  • SAR/LiDAR
  • unmanned aerial system (UAS)

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Related Special Issue

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

18 pages, 5084 KiB  
Article
Activation of Ms 6.9 Milin Earthquake on Sedongpu Disaster Chain, China with Multi-Temporal Optical Images
by Yubin Xin, Chaoying Zhao, Bin Li, Xiaojie Liu, Yang Gao and Jianqi Lou
Remote Sens. 2024, 16(21), 4003; https://doi.org/10.3390/rs16214003 - 28 Oct 2024
Viewed by 966
Abstract
In recent years, disaster chains caused by glacier movements have occurred frequently in the lower Yarlung Tsangpo River in southwest China. However, it is still unclear whether earthquakes significantly contribute to glacier movements and disaster chains. In addition, it is difficult to measure [...] Read more.
In recent years, disaster chains caused by glacier movements have occurred frequently in the lower Yarlung Tsangpo River in southwest China. However, it is still unclear whether earthquakes significantly contribute to glacier movements and disaster chains. In addition, it is difficult to measure the high-frequency and large gradient displacement time series with optical remote sensing images due to cloud coverage. To this end, we take the Sedongpu disaster chain as an example, where the Milin earthquake, with an epicenter 11 km away, occurred on 18 November 2017. Firstly, to deal with the cloud coverage problem for single optical remote sensing analysis, we employed multiple platform optical images and conducted a cross-platform correlation technique to invert the two-dimensional displacement rate and the cumulative displacement time series of the Sedongpu glacier. To reveal the correlation between earthquakes and disaster chains, we divided the optical images into three classes according to the Milin earthquake event. Lastly, to increase the accuracy and reliability, we propose two strategies for displacement monitoring, that is, a four-quadrant block registration strategy and a multi-window fusion strategy. Results show that the RMSE reduction percentage of the proposed registration method reaches 80%, and the fusion method can retrieve the large magnitude displacements and complete displacement field. Secondly, the Milin earthquake accelerated the Sedongpu glacier movement, where the pre-seismic velocities were less than 0.5 m/day, the co-seismic velocities increased to 1 to 6 m/day, and the post-seismic velocities decreased to 0.5 to 3 m/day. Lastly, the earthquake had a triggering effect around 33 days on the Sedongpu disaster chain event on 21 December 2017. The failure pattern can be summarized as ice and rock collapse in the source area, large magnitude glacier displacement in the moraine area, and a large volume of sediment in the deposition area, causing a river blockage. Full article
(This article belongs to the Special Issue Rockfall Hazard Analysis Using Remote Sensing Techniques (Second Edition))
►▼ Show Figures

Figure 1

19 pages, 59559 KiB  
Article
Characteristics of Rock Avalanche Deposit in Wangjiapo, Ludian Based on UAV Aerial Image Recognition
by Zhenhua Han, Luqing Zhang, Jian Zhou, Song Wang, Juanjuan Sun, Ruirui Li and Fuyou Huang
Remote Sens. 2024, 16(20), 3786; https://doi.org/10.3390/rs16203786 - 11 Oct 2024
Viewed by 1137
Abstract
Rock avalanche disasters in alpine and gorge regions are frequent and large in scale and cause severe damage. The movement of a rock avalanche is complex and has not been fully studied. The deposits of a rock avalanche can provide valuable insights into [...] Read more.
Rock avalanche disasters in alpine and gorge regions are frequent and large in scale and cause severe damage. The movement of a rock avalanche is complex and has not been fully studied. The deposits of a rock avalanche can provide valuable insights into its movement process, which is crucial in understanding the rock fragmentation mechanism and predicting disaster-affected areas. Taking the Wangjiapo rock avalanche in Yunnan Province of China as an example, the size, shape and distribution characteristics of the deposit were analyzed based on field surveys, unmanned aerial vehicle (UAV) photography and image recognition technology. Initially, 3062 deposited rock blocks were manually measured in the field. Subsequently, the Particles/Pores and Cracks Analysis System (PCAS) was employed to identify 11,357 rock blocks with an area greater than 0.1 m2 from UAV orthophotos. By comparing the characteristics of the rock blocks obtained through image recognition and manual measurement, the statistical analysis of UAV aerial imagery combined with PACS proved feasible in studying the Wangjiapo rock avalanche. The results showed that the rock block movement was accompanied by fragmentation and sorting processes; furthermore, the roundness increased with the migration distance. Small blocks were more prevalent at the foot of the slope, while irregularly shaped, large blocks dominated in source areas. The movement of huge blocks was characterized by significant potential energy-driven features and inertia advantages, allowing them to travel farther than smaller blocks, and they tended to be concentrated in the central area of the deposit. Additionally, affected by the cementation degree of breccia and the topography, the blocks in the eastern and western deposit areas exhibited different fragmentation and deposition characteristics. Full article
(This article belongs to the Special Issue Rockfall Hazard Analysis Using Remote Sensing Techniques (Second Edition))
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop