A multi‐source remote sensing technical framework for wide-area landslide detection
- College of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, China (zhenhong.li@chd.edu.cn)
Landslides pose a destructive geohazard to people and infrastructure that results in hundreds of deaths and billions of dollars in damages every year. China is one of the countries worst affected by landslides in the world, and great efforts have been made to detect potential landslides over wide regions. However, a recent government work report shows that 80% of the newly formed landslides occurred outside the areas labelled as potential landslides, and 80% of them occurred in remote rural areas with limited capability of disaster prevention and mitigation. In this presentation, a multi‐source remote sensing technical framework is demonstrated to detect potential landslides over wide regions.
How to cite: Li, Z., Zhang, C., Chen, B., Du, J., Ding, M., Zhu, W., Song, C., Yu, C., Zhan, J., and Peng, J.: A multi‐source remote sensing technical framework for wide-area landslide detection, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-2080, https://doi.org/10.5194/egusphere-egu23-2080, 2023.