Bulletin of Surveying and Mapping ›› 2026, Vol. 0 ›› Issue (10): 28-33.doi: 10.13474/j.cnki.11-2246.2026.1004

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Fusion of LT-1 ascending and descending orbit data for geohazard identification at Wujiangdu hydropower station

Wang Teng1, Cui Wengang1,2, Liu Suihua1,2, Chen Tao1,3, Hu Jun4, Xu Zhu1, Wang Rongrong1   

  1. 1. School of Geography and Environmental Science, Guizhou Normal University, Guiyang 550025, China;
    2. Guizhou Provincial Key Laboratory of Intelligent Processing and Application of Remote Sensing Big Data, Guiyang 550025, China;
    3. Guizhou Provincial Archives of Surveying and Mapping Data, Guiyang 550004, China;
    4. Guizhou Water Conservancy and Hydropower Survey, Design and Research Institute Co., Ltd., Guiyang 550002, China
  • Received:2026-01-19 Published:2026-11-06

Abstract: [Purposes] Research on geological hazards in large-scale water conservancy and hydropower projects located in mountainous and highly vegetated areas remains relatively scarce,and traditional geological hazard investigation methods are difficult to implement in such regions. [Methods] This study takes the Wujiangdu hydropower station as a case study,and combines 20 ascending orbit scenes and 23 descending orbit scenes of L-band Lutan-1 (LT-1)data with strong penetration capability with the SBAS-InSAR technique to monitor surface deformation and identify geological hazards in this inland area.In addition,spatiotemporal deformation characteristic analysis is conducted by integrating optical imagery,rainfall data,and geological fault data. [Findings] The results show that:①A total of 24 geological hazards were identified in the Wujiangdu Hydropower Station area using the ascending and descending orbit data of Lutan-1.Among these hazards,the largest deformation zones were jointly detected by both orbit datasets,with deformation rates reaching 125.96 mm/a for the ascending orbit and 103.92 mm/a for the descending orbit,which verifies the effectiveness of the proposed method for large-scale water conservancy and hydropower projects in mountainous and highly vegetated areas.②The combination of ascending and descending orbit data can effectively overcome the limitations caused by topographic factors and single-orbit datasets in such regions,thereby improving the accuracy of geological hazard identification.③The spatiotemporal evolution analysis of typical potential landslide bodies indicates that rainfall and geological faults are the dominant inducing factors for the formation of geological hazards in the study area. [Conclusions] This method provides scientific data support for geological hazard assessment and precise prevention and control in reservoir areas of large hydropower stations in mountainous regions with high vegetation.

Key words: LT-1, SBAS-InSAR, Wujiangdu hydropower station, geohazards

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