Articles | Volume 26, issue 4
https://doi.org/10.5194/nhess-26-1913-2026
https://doi.org/10.5194/nhess-26-1913-2026
Research article
 | 
27 Apr 2026
Research article |  | 27 Apr 2026

Early identification of reservoir-bank landslides in deeply incised mountain canyon areas with interferometric baseline optimization

Wenfei Xi, Wenyu Hong, Zhiquan Yang, Guangcai Huang, Junqi Guo, Kunwu Yang, and Tingting Jin

Cited articles

Cai, J., Ming, D., and Zhao, W.: Integrated remote sensing-based hazard identification and disaster-causmechanisms of landslides in Zayu County, Remote Sens. Nat. Resour., 36, 128–136, 2024. 
Chen, Y., Sun, Q., and Hu, J.: Quantitatively estimating of InSAR decorrelation based on Landsat-derived NDVI, Remote Sens., 13, 2440, https://doi.org/10.3390/rs13132440, 2021. 
Dai, H., Zhang, H., Dai, H., Wang, C., Tang, W., Zou, L., and Tang, Y.: Landslide identification and gradation method based on statistical analysis and spatial cluster analysis, Remote Sens., 14, 4504, https://doi.org/10.3390/rs14184504, 2022. 
Dun, J., Feng, W., Yi, X., Zhang, G., and Wu, M.: Early InSAR identification of active Landslide before impoundment in BaiHeTan Reservoir area – A case study of HULUKOU town XiangBiling section, J. Eng. Geol., 31, 479–492, https://doi.org/10.13544/j.cnki.jeg.2022-0016, 2023. 
Fan, R., Liao, J., Gao, S., and Zeng, Q.: Comparison Research of High Coherent Target Selection Based on In SARTime Series Analysis, J. Geo-Inf. Sci., 18, 805–814, 2016. 
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Short summary
This study proposes a vegetation-adaptive coherence threshold method to reduce vegetation-induced decorrelation in small baseline subset interferometric synthetic aperture radar (SBAS‑InSAR) landslide monitoring. By integrating vegetation coverage and the fifth-generation ECMWF atmospheric reanalysis (ERA5)-based atmospheric correction, the method improves deformation accuracy and phase unwrapping. Results show a 29.1 % gain in precision and 22 % more landslide detection.
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