一种多源地面沉降监测数据融合方法及其应用  

A multi-source land subsidence monitoring data fusion method and its application

作　　者：高建东[1,2] 王勇 安江雷[1,2] 姜俊狄 GAO Jiandong;WANG Yong;AN Jianglei;JIANG Jundi(Jiangsu Provincial Surveying&Mapping Engineering Institude,Nanjing 210013,China;Key Laboratory for Land Satellite Remote Sensing Application of Ministry of Natural Resources,Nanjing 210013,China;Research Center of GNSS,Wuhan University,Wuhan 430079,China;School of Earth Sciences and Engineering,Hohai University,Nanjing 211100,China)

机构地区：[1]江苏省测绘工程院,江苏南京210013 [2]自然资源部国土卫星遥感应用重点实验室,江苏南京210013 [3]武汉大学卫星导航技术研究中心,湖北武汉430079 [4]河海大学地球科学与工程学院,江苏南京211100

出　　处：《测绘通报》2023年第10期158-162,172,共6页Bulletin of Surveying and Mapping

基　　金：江苏省自然资源科技项目(2021039)。

摘　　要：本文利用精密水准、GNSS和时序InSAR 3种技术手段开展多源地面沉降监测数据融合研究。首先统一3种监测手段的时空基准,然后采用Bland-Altman方法分析监测结果一致性,并采用曲面拟合方法建立监测数据间的模型关系,得到综合精密水准、GNSS和时序InSAR优势的面状监测结果。研究结果表明:研究区主要沉降区域位于沛县安国镇、龙固镇、朱寨镇、大屯街道及丰县分凤城街道,矿产资源开采是导致区域沉降的主要因素。监测周期内的最大沉降速率为29.8 mm/a,地面沉降速率超过10 mm/a的沉降区面积为2 018.8 km~2,占总面积的61.9%。In this paper,the fusion of multi-source ground subsidence monitoring data is carried out by using three technical means:precision level,GNSS and time-series InSAR.Firstly,the spatial and temporal references of the three monitoring means are unified,then the Bland-Altman method is used to analyze the consistency of monitoring results,and the model relationship among monitoring data is established by the surface fitting method,and the surface monitoring results that integrated the advantages of precision level,GNSS and time-series InSAR are obtained.The results show that the main subsidence areas in the study area are located in Anguo town,Longgu town,Zhuzhai town,Datun street and Fengxian Sub-Fengcheng street of Pei county,and mineral resource exploitation is the main factor leading to regional subsidence.The maximum subsidence rate during the monitoring cycle is 29.8 mm/a,and the subsidence area with ground subsidence rate over 10 mm/a is 2 018.8 km~2,accounting for 61.9% of the total area.

关 键 词：地面沉降监测 时序InSAR GNSS 水准测量 数据融合 

分 类 号：P22[天文地球—大地测量学与测量工程]