Remote Sensing Technology in Landslide and Land Subsidence—2nd Edition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 20 July 2025 | Viewed by 710
Special Issue Editors
Interests: landslides; remote sensing; risk management; rock and soil mechanics
Special Issues, Collections and Topics in MDPI journals
Interests: InSAR; geohazards identification and monitoring; Drone modeling; computer vision
Special Issues, Collections and Topics in MDPI journals
Interests: soil mechanics; engineering geology; land subsidence; soil microstructure
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Landslides and land subsidence are common types of geological hazards that cause severe damage to structures, infrastructures, and populations worldwide. In the current context of global climate change and rapid urbanization, their monitoring, mapping, and modeling are increasingly important for designing optimal risk-reduction strategies.
Today, remote sensing data plays a big role in geosciences. With recent advancements in technologies such as unmanned aerial vehicles (UAVs), multi-band high-resolution satellite images, and multi-polarization microwave-based SAR images, the application of Earth observations has become more popular. Multi-platform remote sensing using airborne and space- and ground-based devices equipped with various sensors plays a key role in the assessment and management of landslides and land subsidence by providing cost-effective solutions for risk mitigation.
This Special Issue therefore aims to distribute all novel contributions to and advances in remote sensing applications for landslides and land subsidence. In particular, this Special Issue is dedicated to interferometric synthetic aperture radar (InSAR) approaches and UAV systems for the detection, characterization, and modeling of landslide and land subsidence. Authors are encouraged to submit articles about innovative research or case studies which may include, but are not limited to, the following topics:
- Regional mapping of landslide and land subsidence;
- Detection of earth surface changes;
- Innovative methods to integrate multi-source remote sensing data;
- Remote sensing supports for understanding the disaster mechanisms;
- Modeling of landslide and land subsidence;
- Definition of risk scenarios based on remote sensing monitoring data;
- Development of early-warning systems.
Prof. Dr. Jiewei Zhan
Prof. Dr. Wu Zhu
Prof. Dr. Qing Wang
Guest Editors
Manuscript Submission Information
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Keywords
- remote sensing
- landslide
- land subsidence
- hazard detection
- risk scenarios
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