测绘通报 ›› 2025, Vol. 0 ›› Issue (7): 40-45.doi: 10.13474/j.cnki.11-2246.2025.0707

• 学术研究 • 上一篇    下一篇

兰坪县InSAR形变监测与滑坡灾害早期识别

李若凡1, 李勇发1,2, 左小清1,2, 黄成3, 邢明泽1, 李永宁1, 张荐铭1, 石超1, 顾晓娜1   

  1. 1. 昆明理工大学国土资源工程学院, 云南 昆明 650093;
    2. 云南省自然资源智能监测与时空大数据 治理重点实验室, 云南 昆明 650218;
    3. 云南省地质环境监测院, 云南 昆明 650216
  • 收稿日期:2024-12-30 发布日期:2025-08-02
  • 通讯作者: 李勇发。E-mail:yfli@kust.edu.cn
  • 作者简介:李若凡(1999—),女,硕士生,研究方向为合成孔径雷达干涉测量。E-mail:541022139@qq.com
  • 基金资助:
    国家自然科学基金(42471483;42161067;42361054);部省合作试点项目(2023ZRBSHZ048);云南省基础研究计划(202501AT070310;202401AU070173);云南省教育厅科学基金(2024J0067);昆明理工大学人才培养基金(KKZ3202421128)

InSAR deformation monitoring and early identification of landslide disasters in Lanping county

LI Ruofan1, LI Yongfa1,2, ZUO Xiaoqing1,2, HUANG Cheng3, XING Mingze1, LI Yongning1, ZHANG Jianming1, SHI Chao1, GU Xiaona1   

  1. 1. College of Land and Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China;
    2. Yunnan Key Laboratory of Intelligent Monitoring and Spatiotemporal Big Data Governance of Natural Resources Monitoring, Kunming 650218, China;
    3. Yunnan Geological Environment Monitoring Institute, Kunming 650216, China
  • Received:2024-12-30 Published:2025-08-02

摘要: 针对兰坪县地质灾害易发、频发,而传统方法难以实现广域滑坡早期识别的问题,本文采用SBAS-InSAR技术对兰坪县开展了滑坡的早期识别与分析研究。首先,针对兰坪县高山峡谷区SAR影像几何畸变影响严重的问题,利用R指数法提取该地区几何畸变区域,以确保InSAR形变结果的准确性和可靠性;然后,利用SBAS-InSAR技术获取兰坪县2021年1月—2023年12月的地表形变信息,并结合光学影像对兰坪县滑坡灾害进行识别;最后,选取典型滑坡灾害点进行时空演化特征分析。研究结果表明,本文方法能有效提高高山峡谷区滑坡灾害识别的准确性,兰坪县共探测到42个形变区,主要分布在澜沧江流域两侧,研究成果可为兰坪县地质灾害防治工作提供科学依据。

关键词: SBAS-InSAR技术, 兰坪县, 高山峡谷区, 几何畸变, 滑坡灾害

Abstract: In response to the frequent occurrence of geological disasters in Lanping county,traditional methods are difficult to achieve early identification of landslides in a wide area.This article uses SBAS InSAR technology to conduct early identification and analysis research on landslides in Lanping county.Firstly,in response to the serious problem of geometric distortion in SAR images in the high mountain canyon area of Lanping county,the R index method is used to extract the geometric distortion area in the area to ensure the accuracy and reliability of InSAR deformation results.Secondly,SBAS InSAR technology is used to obtain surface deformation information of Lanping county from January 2021 to December 2023,and optical images are combined to identify landslide disasters in Lanping county.Finally,select typical landslide disaster points for spatiotemporal evolution feature analysis.The research results show that the method proposed in this article can effectively improve the accuracy of landslide hazard identification in high mountain and canyon areas.A total of 42 deformation areas have been detected in Lanping county,mainly distributed on both sides of the Lancang River basin.The research results can provide scientific basis for geological hazard prevention and control work in Lanping county.

Key words: SBAS InSAR technology, Lanping county, high mountain canyon areas, geometric distortions, landslide disaster

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