Theme 3. Landslides
Subtheme 3.11: Sensing technologies for landslide monitoring toward early warning
Session Convener:
Tetsuya Kogure, Disaster Prevention Research Institute, Kyoto University, Japan, Email: [email protected]
Session Coordinator: Ashis Acharya, Shimane University, Japan, Email: [email protected] or [email protected]
Session Description
Sensing technologies are crucial for monitoring changes in parameters related to slope stability across multiple scales. Ultimately, these technologies are expected to function as early warning systems, detecting the onset of slope deformation, predicting landslide occurrences, and helping to prevent or mitigate landslide disasters.
Session Aim
This session seeks to foster collaboration and knowledge exchange on diverse aspects of sensing technologies for landslide monitoring. Our goal is to advance the development of sophisticated early warning systems. We will also explore methodologies for enhancing the reliability of these systems through the integration of various technologies.
We welcome contributions covering:
We’re especially interested in submissions focused on monitoring techniques such as deformation, strain, stress, and temperature measurements in soil, rocks, and infrastructure. We also encourage numerical approaches that utilize monitoring data for dynamic spatio-temporal modeling of landslides. Innovative applications of technologies like satellite-based remote sensing, ground-based monitoring (e.g., seismic arrays, optical fibers), LiDAR, and UAV-based surveys will receive particular attention. Papers that effectively integrate these monitoring results into broader, systemic early warning systems are highly encouraged.