SBAS-InSAR技术与无人机影像融合的滑坡变形监测

doi:10.13474/j.cnki.11-2246.2022.0286

测绘通报 ›› 2022, Vol. 0 ›› Issue (10): 1-6.doi: 10.13474/j.cnki.11-2246.2022.0286

• 滑坡识别与评价 • 下一篇

SBAS-InSAR技术与无人机影像融合的滑坡变形监测

喜文飞^1,2, 赵子龙³, 李国柱³, 周定义⁴, 杨正荣¹

1. 云南师范大学地理学部, 云南昆明 650500;
2. 云南省高校高烈度地震山区交通走廊工程地质病害早期快速判识与防控重点实验室, 云南昆明 650093;
3. 云南海钜地理信息技术有限公司, 云南昆明 650000;
4. 昆明理工大学国土资源工程学院, 云南昆明 650093

收稿日期:2021-11-03 发布日期:2022-11-02
作者简介:喜文飞(1984-)男,博士,副教授,主要研究方向为无人机图像处理、三维模型构建、变形监测。E-mail:xiwenfei911@163.com
基金资助:
云南省科技厅面上项目(202001AT070059);云南省自然科学基金(202101AS070019)

Landslide deformation monitoring based on the SBAS-InSAR technology and UAV image

XI Wenfei^1,2, ZHAO Zilong³, LI Guozhu³, ZHOU Dingyi⁴, YANG Zhengrong¹

1. Faculty of Geography, Yunnan Normal University, Kunming 650500, China;
2. Key Laboratory of Early Rapid Identification, Prevention and Control of Geological Diseases in Traffic Corridor of High Intensity Earthquake Mountainous Area of Yunnan Province, Kunming, 650093, China;
3. Yunnan Haiju Geographic Information Technology Co., Ltd., Kunming 650000, China;
4. Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China

Received:2021-11-03 Published:2022-11-02

摘要/Abstract

摘要： 山体滑坡对人类安全造成严重影响,准确识别滑坡变形对预防滑坡灾害具有重要意义。利用SBAS-InSAR技术可以进行空间连续地表变形监测,但无法精确获取滑坡边界的变化。为了综合监测滑坡,本文首先采用SBAS-InSAR技术与无人机影像结合的滑坡变形监测方法,利用2018年1月1日—2020年12月24日,共计80幅升轨Sentinel-1A SAR影像,进行了VV极化和VH极化数据处理;然后通过SBAS-InSAR技术获取滑坡区地表雷达视线(LOS)方向变形速率,选取了若干变形点进行滑坡体变形时序分析;最后采用无人机获取滑坡影像并提取滑坡边界,分析了滑坡边界的变形。试验结果表明,利用SBAS-InSAR技术获取的滑坡变形和无人机获取的滑坡变形趋势基本吻合,通过该方法可以获取滑坡的综合变形情况,对滑坡活动性的判断具有重要意义。

关键词: 山体滑坡, SBAS-InSAR技术, 变形监测, 无人机

Abstract: Due to the serious impact on human safety from landslide, it is of great significance for preventing landslide disasters to identify the landslide deformation accurately. Spatially continuous surface deformation monitoring can be performed using SBAS-InSAR technology, but the changes in the landslide boundary cannot be accurately obtained. In order to monitor the landslide comprehensively, the study adopts landslide deformation monitoring method combined with SBAS-InSAR technology and UAV image. A total of 80 Sentinel-1A SAR images are used from January 1 January 2018 to 24 December in 2020 for VV polarization and VH polarization data processing. The line of sight (LOS) direction deformation rate of landslide area is obtained by SBAS-InSAR technology, and several deformation points are selected for landslide deformation timing analysis. UAV is used to obtain landslide image and analyze the deformation of landslide boundary. Based on the verification of landslide cases, the experimental results show that the deformation trend of the landslide obtained by SBAS-InSAR technology and the UAV is basically consistent. The comprehensive deformation of landslide can be obtained through this method, which is of great significance for the judgment of landslide activity.

Key words: landslide, SBAS-InSAR technology, deformation monitoring, UAV

中图分类号:

P237

喜文飞, 赵子龙, 李国柱, 周定义, 杨正荣. SBAS-InSAR技术与无人机影像融合的滑坡变形监测[J]. 测绘通报, 2022, 0(10): 1-6.

XI Wenfei, ZHAO Zilong, LI Guozhu, ZHOU Dingyi, YANG Zhengrong. Landslide deformation monitoring based on the SBAS-InSAR technology and UAV image[J]. Bulletin of Surveying and Mapping, 2022, 0(10): 1-6.

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SBAS-InSAR技术与无人机影像融合的滑坡变形监测

Landslide deformation monitoring based on the SBAS-InSAR technology and UAV image

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