Monitoring and Modelling of Geological Disasters Based on InSAR Observations: 3rd Edition
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 1180
Special Issue Editors
Interests: Disaster and infrastructure monitoring; InSAR; point cloud processing; photogrammetry
Special Issues, Collections and Topics in MDPI journals
Interests: InSAR; UAV-InSAR; ground-based radar interferometry; geohazards; infrastructures
Special Issues, Collections and Topics in MDPI journals
Interests: InSAR; Geological disaster; Disaster monitoring
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In our first two Special Issues, opened from 2021 to 2023, we published 28 state-of-the-art research articles covering diverse topics in InSAR and geological disasters (https://www.mdpi.com/journal/remotesensing/special_issues/InSAR_Geological_Disasters; https://www.mdpi.com/journal/remotesensing/special_issues/ES569JPZ29). These excellent reports significantly contribute to further developments in the monitoring and modeling of geological disasters using InSAR techniques. Meanwhile, an increasing number of scholars are expressing their willingness to submit and publish their research output on this topic. Therefore, we are launching a third edition of this Special Issue.
Interferometric synthetic aperture radar (InSAR) has demonstrated its potential in monitoring geological disasters related to subsidence, landslides, earthquakes, and volcanoes. Such monitoring results provide significant information for further physical modeling, driving mechanism interpretation, developments in early warning technology, and the management and formulation of policies by authorities and stakeholders. Recently, more advanced InSAR methods have been developed for geological disaster monitoring and modeling. For instance, the integration of multi-sensor SAR data improves the temporal resolution. Advanced distributed scatterer interferometry algorithms increase the possibility of measuring low-coherent areas. Introducing machine/deep learning improves the quality of phase unwrapping and decreases errors in InSAR processing. Deep neural networks even make it possible to directly invert the geophysical parameters of disasters from SAR interferograms. Uncertainty analysis of InSAR results further increases the readability of monitoring results.
This Special Issue will publish studies covering different applications by InSAR technique, especially the monitoring and modeling of geological disasters. Topics may cover any aspect from ground displacement monitoring to inversion of geophysical parameters. Multi-source data integration (e.g., InSAR, GNSS, and ground sensors), advanced InSAR approaches, geological disaster modeling, and other relevant issues are all welcome. Monitoring results based on InSAR techniques promote the development of remote sensing science and expand the scope of remote sensing technique applications.
Articles may address, but are not limited to, the following topics:
- Multisource monitoring data integration;
- Geohazard detection;
- Disaster catalog compilation;
- Parameter inversion;
- Innovative InSAR applications;
- Advanced InSAR algorithms.
Dr. Chisheng Wang
Dr. Bochen Zhang
Dr. Chuanhua Zhu
Dr. Bin Zhang
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
- InSAR
- geological disaster
- disaster monitoring
- disaster modeling and interpretation
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.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
