Advances in Remote Sensing Technology for Ground Deformation
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: 15 April 2026 | Viewed by 86
Special Issue Editor
Interests: geodesy; geophysics; GIS and digital simulation; remote sensing; seismology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
(1) Introduction, including scientific background and highlighting the importance of this research area.
Remote sensing provides an efficient, wide-area, and non-contact means to monitor ground deformation caused by natural or anthropogenic processes such as earthquakes, landslides, volcanic activity, land subsidence, and mining. Techniques like Interferometric Synthetic Aperture Radar (InSAR) allow for the detection of ground displacement with centimeter- to millimeter-scale accuracy by comparing radar images acquired at different times. Optical and LiDAR data further support the mapping of surface changes, fault ruptures, or slope instabilities through 3D modeling and time-series analysis. Satellite missions such as Sentinel-1, ALOS-2, and TerraSAR-X enable continuous, global deformation monitoring, while UAV-based and ground-based sensors provide detailed local observations.
(2) Aim of the Special Issue and how the subject relates to the journal scope.
Integration of GNSS, InSAR, and optical data improves spatial and temporal resolution, offering insights into deformation mechanisms and hazard assessment. These methods are critical for early warning, infrastructure protection, and geohazard management. By combining remote sensing with machine learning and cloud processing, it is now possible to automate deformation detection and forecast trends over large regions. Overall, remote sensing has revolutionized geoscience monitoring by providing a cost-effective, repeatable, and scalable approach to understanding Earth’s dynamic surface processes.
(3) Suggested themes and article types for submissions.
- Special processes to handle the remote sensing data for ground deformation;
- Combine multi-source remote sensing data to analyze information about ground deformation;
- New technologies to reveal high accuracy or resolution for ground deformation via remote sensing;
- AI approaches to improve efficiency for ground deformation detecting via remote sensing;
- Articles about theorical development, case studies or technical improvement regarding to this topic are welcome.
Prof. Dr. Teng-To Yu
Guest Editor
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 250 words) can be sent to the Editorial Office for assessment.
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
- InSAR
- LiDAR
- ground deformation
- GNSS
- GBSAR
- DTM
- AI
- UAV
- photogrammetry
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