融合陆探一号升降轨数据的乌江渡水电站地质灾害识别

doi:10.13474/j.cnki.11-2246.2026.1004

测绘通报 ›› 2026, Vol. 0 ›› Issue (10): 28-33.doi: 10.13474/j.cnki.11-2246.2026.1004

• 滑坡灾害识别 • 上一篇

融合陆探一号升降轨数据的乌江渡水电站地质灾害识别

王腾¹, 崔文刚^1,2, 刘绥华^1,2, 陈涛^1,3, 胡君⁴, 徐翥¹, 王蓉蓉¹

1. 贵州师范大学地理与环境科学学院, 贵州贵阳 550025;
2. 贵州省遥感大数据智能处理与应用全省重点实验室, 贵州贵阳 550025;
3. 贵州省测绘资料档案馆, 贵州贵阳 550004;
4. 贵州省水利水电勘测设计研究院有限公司, 贵州贵阳 550002

收稿日期:2026-01-19 发布日期:2026-11-06
通讯作者: 崔文刚。E-mail:849028074@qq.com
作者简介:王腾(1999—),男,硕士生,主要研究方向为地质灾害监测。E-mail:3168108357@qq.com
基金资助:
贵州省创新平台项目(黔科合平台CXPTXM(2025)002)；贵州省科技计划(黔科合平台ZSYS[2025]014)；国家自然科学基金(42161029)；贵州省科技支撑项目(黔科合支撑[2024]一般138)

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

Wang Teng¹, Cui Wengang^1,2, Liu Suihua^1,2, Chen Tao^1,3, Hu Jun⁴, Xu Zhu¹, Wang Rongrong¹

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

摘要/Abstract

摘要： [目的] 本文旨在解决山地且高植被区域的大型水利水电工程的地质灾害研究相对比较稀少，传统的地质灾害研究方法在该区域内难以实现的问题。[方法] 以乌江渡水电站为例，融合20景升轨和23景降轨的具有强穿透力的L波段陆探一号(LT-1)数据，结合小基线子集干涉合成孔径雷达(SBAS-InSAR)技术实现对该地区地表形变的监测与地质灾害识别，并通过联合光学影像、降雨和地质断层数据进行时序形变特征分析。[结果] 结果表明：①LT-1数据在乌江渡水电站区域内升降轨一共识别到24处地质灾害，其中最大形变区域均被升降轨数据共同识别，分别达到了升轨125.96 mm/a，降轨103.92 mm/a，证明了该方法在山地且高植被区域的大型水利水电工程中的有效性。②联合升降轨数据可以有效克服在该类地区中地形因素和单轨数据带来的局限性，提升识别的准确性。③通过对典型滑坡隐患体的时空演变分析表明，在该研究区内降雨和地质断层是主导地质灾害体形成的主要诱发因素。[结论] 本文方法为山地高植被地区大型水电站库区地质灾害评估和精准防控提供了科学的数据支持。

关键词: 陆探一号, SBAS-InSAR, 乌江渡水电站, 地质灾害

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

中图分类号:

P237

王腾, 崔文刚, 刘绥华, 陈涛, 胡君, 徐翥, 王蓉蓉. 融合陆探一号升降轨数据的乌江渡水电站地质灾害识别[J]. 测绘通报, 2026, 0(10): 28-33.

Wang Teng, Cui Wengang, Liu Suihua, Chen Tao, Hu Jun, Xu Zhu, Wang Rongrong. Fusion of LT-1 ascending and descending orbit data for geohazard identification at Wujiangdu hydropower station[J]. Bulletin of Surveying and Mapping, 2026, 0(10): 28-33.

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链接本文: http://tb.chinasmp.com/CN/10.13474/j.cnki.11-2246.2026.1004

http://tb.chinasmp.com/CN/Y2026/V0/I10/28

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融合陆探一号升降轨数据的乌江渡水电站地质灾害识别

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

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