An integrated framework for wide-area active landslide detection with InSAR observations and SAR pixel offsets
Citation
Zhang, C., Li, Z., Yu, C., Song, C., Xiao, R., Peng, J. (2022). An integrated framework for wide-area active landslide detection with InSAR observations and SAR pixel offsets. Landslides, 19: 2905-2923. Link to paper
Abstract
The framework addresses several challenges in applying InSAR in the Jinsha River corridor, such as low coherence due to dense vegetation and/or large gradient surface movements, and atmospheric effects due to the spatio-temporal variations of the atmosphere (especially the part due to tropospheric water vapor). The research focuses on the Jinsha River, which flows through one of the most geologically complex regions in western China with extremely high altitudes and capricious climates. Frequent landslides (e.g., the Baige landslides on 11 October and 3 November 2018) occurred along its stretch which posed severe damage to bridges, dams, and roads.