Remote Sensing Technology in Landslide and Land Subsidence
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 20 June 2024 | Viewed by 8276
Special Issue Editors
Interests: landslides; remote sensing; risk management; rock and soil mechanics
Interests: soil mechanics; engineering geology; land subsidence; soil microstructure
Interests: multi-temporal InSAR; remote sensing; ground-based real-time monitoring system; ionospheric parameters estimation
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Special Issue Information
Dear Colleagues,
Landslides and land subsidence are common types of geological hazards that cause severe damages 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 play 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 landslide and land subsidence by providing cost-effective solutions for risk mitigation.
This Special Issue therefore aims to distribute all novel contributions on 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 UAVs 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.
Dr. Jiewei Zhan
Prof. Dr. Qing Wang
Prof. Dr. Wu Zhu
Guest Editors
Manuscript Submission Information
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Keywords
- remote sensing
- landslide
- land subsidence
- hazard detection
- risk scenarios