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基于InSAR的宁夏黄土丘陵区(西吉县)滑坡隐患早期识别
引用本文:陈思名,霍艾迪,张佳,赵志欣,陈四宾,陈建.基于InSAR的宁夏黄土丘陵区(西吉县)滑坡隐患早期识别[J].科学技术与工程,2022,22(12):4721-4728.
作者姓名:陈思名  霍艾迪  张佳  赵志欣  陈四宾  陈建
作者单位:长安大学 水利与环境学院;宁夏回族自治区国土资源调查监测院
基金项目:国家自然科学基金面上项目(41877232);黄土与第四纪地质国家重点实验室开放基金(SKLLQG1909);宁夏自然科学基金项目资助(2021AAC03429/2021AAC03426)
摘    要:滑坡灾害突发性强,隐蔽性高,传统的排查手段已无法满足新形势下摸清地质灾害风险隐患底数的要求。随着雷达观测数据精度与质量的发展,合成孔径雷达干涉测量(InSAR)成为监测地表变化的有效手段。本研究利用InSAR技术对宁夏黄土丘陵区固原市西吉县进行面状监测,获取了2019年12月25日-2020年1月18日内的形变结果,结合光学遥感影像目视解译对潜在滑坡隐患进行综合遥感识别,共识别出8处隐患点,经实地核查验证,与实际情况吻合。该研究结果表明InSAR技术在该地区具有很好的适用性,可为当地防灾减灾行动提供数据参考,并为黄土丘陵区滑坡隐患早期识别提供方法借鉴。

关 键 词:D-InSAR  宁夏黄土丘陵区  形变监测  滑坡  早期识别
收稿时间:2021/8/12 0:00:00
修稿时间:2022/1/21 0:00:00

The identification of potential landslides in the Loess Hilly Area of Ningxia with InSAR technology
Chen Siming,Huo Aidi,Zhang Ji,Zhao Zhixin,Chen Sibin,Chen Jian.The identification of potential landslides in the Loess Hilly Area of Ningxia with InSAR technology[J].Science Technology and Engineering,2022,22(12):4721-4728.
Authors:Chen Siming  Huo Aidi  Zhang Ji  Zhao Zhixin  Chen Sibin  Chen Jian
Institution:School of water and environmental, Chang''an University
Abstract:Landslide disaster is characterized by strong abruptness and high concealment. The traditional investigation methods cannot meet the requirements of finding out the hidden dangers of geological disasters under the new situation. With the development of the accuracy and quality of radar observation data, Interferometric Synthetic Aperture Radar (InSAR) has become an effective means to monitor surface deformation. In this study, the InSAR technology was used to identify the potential landslide hazards in loess gully hill area of Xiji county, Ningxia, and the deformation results from December 25, 2019 to January 18, 2020 were obtained. Combined with the visual interpretation of optical remote sensing images, the potential landslide hazards are comprehensively identified by remote sensing, and a total of 8 hidden danger points are identified. After field verification, it is consistent with the actual situation. The research results showed that InSAR technology has good applicability in this area, which can provide data reference for local disaster prevention and reduction actions, and provide method reference for early identification of landslide hazards in loess hilly area.
Keywords:D-InSAR  the loess hilly area of Ningxia  deformation monitoring  landslides  early identification
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