测绘通报 ›› 2022, Vol. 0 ›› Issue (6): 104-107.doi: 10.13474/j.cnki.11-2246.2022.0180.

• 技术交流 • 上一篇    下一篇

黄河流域宁夏(西吉县)段滑坡灾害的InSAR识别及成因分析

许广河, 何小锋, 王国瑞, 扈志勇, 程霞, 李小琼   

  1. 宁夏回族自治区国土资源调查监测院, 宁夏 银川 750001
  • 收稿日期:2021-07-16 修回日期:2022-04-28 发布日期:2022-06-30
  • 通讯作者: 何小锋。E-mail:307414180@qq.com
  • 作者简介:许广河(1973-),男,高级工程师,研究方向为灾害监测。E-mail:3203553237@qq.com
  • 基金资助:
    宁夏回族自治区自然科学基金(2021AAC03426;2021AAC03429)

InSAR identification and cause analysis of landslide disaster in Ningxia (Xiji county) section of the Yellow River basin

XU Guanghe, HE Xiaofeng, WANG Guorui, HU Zhiyong, CHENG Xia, LI Xiaoqiong   

  1. NingXia Survey and Monitor Institute of Land and Resources, Yinchuan 750001, China
  • Received:2021-07-16 Revised:2022-04-28 Published:2022-06-30

摘要: 针对大范围滑坡危险,本文以黄河流域宁夏(西吉县)段为研究区,采用永久散射体InSAR (PS-InSAR)技术对覆盖该区域的18景Sentinel-1A卫星影像数据进行处理,获取了研究区2019年10月—2021年3月雷达视线向形变场,分析了研究区内形变特征。将InSAR监测结果与实地勘察结果进行比较,验证了PS-InSAR方法的有效性。结合历史资料、实地考察对研究结果进行了验证分析,结果表明PS-InSAR识别的滑坡变形区与近几年降水多、诱发老滑坡复活有关。

关键词: 黄河流域, 滑坡灾害, 合成孔径雷达, Sentinel-1, 全球定位系统

Abstract: In view of the large-scale landslide risk, taking Ningxia (Xiji county) section of the Yellow River basin as the study area, this paper uses the permanent scatterer InSAR(PS-InSAR) technology to process the 18 Sentinel-1A satellite image data covering the area, obtains the radar line of sight deformation field in the study area from October 2019 to March 2021, and analyzes the deformation characteristics in the study area. The InSAR monitoring results are compared with the field survey results to verify the effectiveness of PS-InSAR method. The results show that the landslide deformation area identified by PS-InSAR may be related to the revival of old landslides induced by more precipitation in recent years.

Key words: Yellow River basin, landslide disaster, SAR, Sentinel-1, GPS

中图分类号: