摘要
针对宁夏南部黄土地区地形起伏差异巨大,地质灾害频发,传统监测方法空间尺度覆盖有限、点位稀疏等缺陷,该文使用小基线集技术(SBAS-InSAR)方法对宁夏固原市Radarsat-2降轨和Sentinel-1升降轨数据进行处理。基于影像像素距离向长度与实地像素距离比值求得合成孔径雷达(SAR)数据源的几何畸变值,再根据几何畸变值定权估计滑坡三维形变速率。结果表明:由几何畸变定权估计滑坡三维形变速率,与单位权定权方法相比两处滑坡最大残差值分别从1.259、1.774 cm/a减小到0.737、1.262 cm/a,整体形变速率求解精度提升2 mm/a。该研究可以为地形起伏较大地区的三维形变速率求解提供参考。
In view of the limited spatial scale coverage and sparse points of traditional monitoring methods,becoming an important means for early identification and monitoring of potential geological hazards in the southern loess region of Ningxia,where the terrain varies greatly,and geological disasters occur frequently,the small baseline subset interferometric synthetic aperture rader(SBAS-InSAR)method was used to process the descending track data of Radarsat-2 and the ascending and descending track data of Sentinel-1 in Guyuan City of Ningxia in this paper.The geometric distortion values of synthetic aperture radar(SAR)data sources were obtained based on the ratio of the image pixel distance length to the actual ground pixel distance,and then the landslide three-dimensional deformation rate was estimated according to the geometric distortion values.The results showed that the three-dimensional deformation rate of landslides was estimated by geometric distortion weighting.Compared with the unit weighting method,the maximum residual value of the two landslides was reduced from 1.259 and 1.774 cm/a to 0.737 and 1.262 cm/a respectively;the overall deformation coordinate axis accuracy was improved by 2 mm/a.This research could provide a reference for solving the three-dimensional deformation rate in areas with large terrain fluctuations.
作者
王崇
童立强
吴振宇
王正阳
彭云
陈雪
朱家辉
胡成磊
穆传周
WANG Chong;TONG Liqiang;WU Zhenyu;WANG Zhengyang;PENG Yun;CHEN Xue;ZHU Jiahui;HU Chenglei;MU Chuanzhou(China University of Geosciences(Beijing),Beijing 100083,China;China Natural Resources Aerial Geophysical Remote Sensing Center,Beijing 100083,China;Ningxia Hui Autonomous Region Remote Sensing Investigation Institute,Yinchuan 750002,China;PowerChina Zhongnan Survey,Design and Research Institute Co.,Ltd.,Changsha 410014,China;Ministry of Natural Resources of the People's Republic of China,Beijing 100812,China)
出处
《测绘科学》
CSCD
北大核心
2024年第2期76-88,共13页
Science of Surveying and Mapping
基金
宁夏回族自治区科技攻关计划项目(2021BEG03118)。
