基于SBAS-InSAR的鄂尔多斯地台管道沿线地质灾害识别与监测

doi:10.13474/j.cnki.11-2246.2024.0711

测绘通报 ›› 2024, Vol. 0 ›› Issue (7): 60-64.doi: 10.13474/j.cnki.11-2246.2024.0711

基于SBAS-InSAR的鄂尔多斯地台管道沿线地质灾害识别与监测

黄曦涛¹, 胡智峰², 乔培³, 张瑜⁴, 王馨爽⁵

1. 咸阳师范学院地理与环境学院, 陕西咸阳 712000;
2. 中煤航测遥感集团有限公司, 陕西西安 710199;
3. 浙江金投数字产业发展有限公司, 浙江杭州 310016;
4. 陕西测绘地理信息局, 陕西西安 710054;
5. 自然资源部陕西基础地理信息中心, 陕西西安 710054

收稿日期:2024-03-07 发布日期:2024-08-02
通讯作者: 胡智峰。E-mail:7981550@qq.com
作者简介:黄曦涛(1981—),男,博士,高级工程师,主要从事测绘地理信息相关教学、技术研发及应用工作。E-mail:huangxitao_81@126.com
基金资助:
国家自然科学基金(61901471)

Geological disaster identification and monitoring along the Ordos platform pipeline based on SBAS-InSAR

HUANG Xitao¹, HU Zhifeng², QIAO Pei³, ZHANG Yu⁴, WANG Xinshuang⁵

1. School of Geography and Environment, Xianyang Normal University, Xianyang 712000, China;
2. China Coal Geophysical Engineering Aerial Survey and Remote Sensing Group Co., Ltd., Xi'an 710199, China;
3. Zhejiang Jintou Digital Industry Development Co., Ltd., Hangzhou 310016, China;
4. Shaanxi Bureau of Surveying, Mapping and Geoinformation, Xi'an 710054, China;
5. Shaanxi Basic Geographic Information Center, Ministry of Natural Resources, Xi'an 710054, China

Received:2024-03-07 Published:2024-08-02

摘要/Abstract

摘要： 鄂尔多斯地台地质环境脆弱,滑坡、崩塌、泥石流等地质灾害频发,对人类的生产生活和经济建设构成严重威胁。本文基于2021年1月至2022年8月鄂尔多斯地台局部区域76景Sentinel-1影像,利用SBAS-InSAR和CR-InSAR技术,通过形变时序信息分析研究区地表异常形变趋势并验证其精度,并结合高分二号遥感影像解译识别的地质灾害隐患点进行野外验证,对两处确定的典型灾害隐患点进行综合分析。结果表明,该技术能够获取毫米级精度的地表形变结果,根据《地质灾害InSAR监测技术指南》(T/CAGHP 013—2018),精度从Ⅱ级提升至Ⅰ级;研究区83%的区域在监测期间形变速率为-20～20 mm/a,处于稳定状态,剩余17%的区域则存在灾害隐患;共解译41处地质灾害隐患点,经野外查证,准确率为73.2%;确定地质灾害隐患点30处,其中滑坡灾害21处、崩塌灾害4处、不稳定斜坡5处;典型滑坡灾害隐患点位存在明显异常形变信息,形变速率为-21～21 mm/a,单点最大累计形变量为-25～25 mm;形变受气候、地形、人为活动影响大,有较高风险隐患,加强人工巡视、加大监测力度与频率,对早期地质灾害识别保证工程建设等具有重要意义。

关键词: InSAR, 地质灾害识别, 地表形变监测, 鄂尔多斯地台

Abstract: The geological environment of Ordos platform is fragile, and geological disasters such as landslide, collapse and debris flow occur frequently, which pose a serious threat to people's production and life and economic construction. Based on 76 Sentinel-1 images of a local area of the Ordos platform from January 2021 to August 2022, combined with SBAS-InSAR and CR-InSAR technologies, this study analyzes the abnormal surface deformation trends in the study area through time series deformation information and verifies the accuracy. By integrating the interpretation of geological hazard points from GF-2 satellite remote sensing images and conducting field validations, a comprehensive analysis is performed on two identified typical hazard points. The results show that this technology can achieve millimeter-level accuracy in surface deformation. According to the 《Geological Disaster InSAR Monitoring Technology Guide》(T/CAGHP 013—2018), the accuracy has been upgraded from Level II to Level I. During the monitoring period, 83% of the study area's deformation rate was within -20 to 20 mm/a, indicating a stable state, while the remaining 17% had potential hazards. A total of 41 geological hazard points were interpreted, and with field verification, the accuracy rate was 73.2%. Thirty geological hazard points were identified, including 21 landslide hazards, 4 collapse hazards, and 5 unstable slopes. Two typical landslide hazard points showed significant abnormal deformation, with deformation rates ranging from -21 to 21 mm/a and maximum cumulative deformation per point from -25 to 25 mm. These areas are significantly affected by climate, topography, and human activities, posing high-risk hazards. It is essential to strengthen manual inspections, increase monitoring efforts and frequency, and early identification of geological disasters to ensure the safety of engineering construction and other works.

Key words: InSAR, geological disaster identification, surface deformation monitoring, Ordos platform

中图分类号:

P237

黄曦涛, 胡智峰, 乔培, 张瑜, 王馨爽. 基于SBAS-InSAR的鄂尔多斯地台管道沿线地质灾害识别与监测[J]. 测绘通报, 2024, 0(7): 60-64.

HUANG Xitao, HU Zhifeng, QIAO Pei, ZHANG Yu, WANG Xinshuang. Geological disaster identification and monitoring along the Ordos platform pipeline based on SBAS-InSAR[J]. Bulletin of Surveying and Mapping, 2024, 0(7): 60-64.

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基于SBAS-InSAR的鄂尔多斯地台管道沿线地质灾害识别与监测

Geological disaster identification and monitoring along the Ordos platform pipeline based on SBAS-InSAR

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