InSAR Techniques for Landslide Study: A Review of Methods, Challenges, and Emerging Trends
Hanlu Zhang, Bowen Liu, Daming Zhu, Zhanfeng Liu, Mengyao Shi · 2026
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Description
Hanlu Zhang and colleagues review in 2026 how radar satellites are used to study landslides, a hazard that strikes under complex terrain and weather and threatens lives, property, and ecosystems. Ground monitoring is slow and weather-bound, while interferometric synthetic aperture radar, shortened to InSAR, measures ground movement precisely over wide areas in all weather. The review traces the development of the technique family for landslide work.
Classical approaches covered include differential InSAR and three refinements that track stable or scattered radar points over time. Newer derivatives are summarized too, along with recent blends of artificial intelligence and multi-source data. The authors weigh the challenges that remain, such as vegetation, steep slopes, and atmosphere noise, and point to emerging trends. For hazard agencies, the survey functions as a map of which radar method fits which landslide problem.
Catalog record
| CREATOR | Hanlu Zhang, Bowen Liu, Daming Zhu, Zhanfeng Liu, Mengyao Shi |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 102139 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |