Application of Remote Sensing Approaches in Geohazard Risk
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Earth Observation for Emergency Management".
Deadline for manuscript submissions: 26 May 2024 | Viewed by 724
Special Issue Editors
Interests: landslide risk analysis; InSAR; Artificial Intelligence; landslide early earning and prediction
Interests: landslide motoring and early warning; landslide risk analysis; reservoir landslide
Interests: landslide; subsidence; risk analysis; monitoring; InSAR
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Under the influence of global climate change, rapid urban expansion, and drastic human activities, geological hazards, including landslides, debris flow, and subsidence, occur frequently every year around the world. Numerous geological disasters pose a great threat to human life and property safety, especially in less developed regions. Carrying out the risk study of geological disasters is considered as an effective method to reduce the losses.
Accurate observation of the geohazard phenomena from initiation to failure is the premise for risk analysis and prediction. Traditional ground-based monitoring techniques can directly observe various phenomena of geological hazards, but the high cost and sparse spatial distribution limit their application on the regional scale and in fine evaluations. In recent years, remote sensing methods, such as radar interferometry, UAVs, LiDAR, etc., have been widely used. These advanced approaches make significant contributions to various steps of geological disaster risk prevention, including detection, monitoring, and early warning.
The purpose of this Special Issue is to publish studies covering various applications of remote sensing in risk prevention for geohazards. We invite authors to submit research papers and technical notes on topics including but not limited to the following:
- Advanced remote sensing methods for geohazard observation;
- Detection and monitoring of geological hazards;
- Multi-scale risk analysis and mapping.
Dr. Chao Zhou
Prof. Dr. Kunlong Yin
Dr. Federico Raspini
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
- satellite-, UAV-, and ground-based remote sensing approaches
- landslides, debris flow, rockfall, subsidence, etc.
- susceptibility and hazard mapping
- geohazard detection, monitoring, and early warning
- risk analysis and prediction
- mechanisms of geohazard
- Artificial Intelligence
