DAI Keren, XU Qiang, DENG Jin, ZHUO Guanchen, CHEN Youdong, HAN Yakun, LI Zhenhong. Review on Large-Scale Identification of Potential Landslides with InSAR[J]. Geomatics and Information Science of Wuhan University, 2025, 50(8): 1469-1482. DOI: 10.13203/j.whugis20250204
Citation: DAI Keren, XU Qiang, DENG Jin, ZHUO Guanchen, CHEN Youdong, HAN Yakun, LI Zhenhong. Review on Large-Scale Identification of Potential Landslides with InSAR[J]. Geomatics and Information Science of Wuhan University, 2025, 50(8): 1469-1482. DOI: 10.13203/j.whugis20250204

Review on Large-Scale Identification of Potential Landslides with InSAR

  • Landslides are among the most frequent, widespread, and destructive natural disasters globally, posing severe threats to human life, property, and critical infrastructure. In recent years, interferometric synthetic aperture radar (InSAR) has emerged as a key technique for identifying potential landslides by monitoring slope deformation, due to its wide spatial coverage, high spatiotemporal resolution, all-weather capability and non-contact measurement. Thus, the technique has attracted widespread global attention and has seen extensive application. First,this paper systematically reviews the development history and background of large-scale landslide identification using InSAR technology in China. Then,based on analysis of development phases and publication trends, it provides a comprehensive summary of the research progress and application status of InSAR both domestically and internationally. The rapid advancement of this technology on a global scale—particularly in China over the past five years—is highlighted, alongside the observation that the current research focus has shifted from technological breakthroughs to large-scale applications. Finally, the paper concludes with a summary and outlook on future development trends and existing technical challenges of the technology.This study aims to deepen understanding of the development and key challenges of large-scale landslide identification via InSAR, and to offer insights for future research and applications.
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