时序InSAR多源数据地面沉降监测研究  

Surface Subsidence Monitoring Based on Time-series InSAR Multisource Data

作　　者：刘平利[1,2] 乔天荣 张鸿祥[1,2] 王传先 于雷[1,2] 王景道 LIU Pingli

机构地区：[1]河南省地质调查院,河南郑州450001 [2]河南省城市地质工程技术研究中心,河南郑州450001 [3]河南省地质科学研究所,河南郑州450001

出　　处：《地理空间信息》2021年第12期31-32,49,I0001,共4页Geospatial Information

基　　金：河南省重大科技专项项目(182300410106)。

摘　　要：随着遥感技术的发展,基于时间序列的合成孔径雷达干涉测量(时序InSAR)技术凭借全天时不接触、不易受环境影响、监测效率高等优势,极其适用于对大面积地面进行微小形变应用。通过对时序InSAR多源数据的研究,选取合理的数据源和数据处理方法进一步提高监测精度。Surface subsidence is mainly caused by the characteristics of regional geological and geomorphic structure and the unreasonable and uncontrolled exploitation of resources and engineering economic activities such as reconstruction and construction in the process of human development, which seriously affects and threatens the safety of cities. With the development of remote sensing technology, time-series synthetic aperture radar interferometry(InSAR) technology is extremely suitable for the application of small deformation of large area ground due to its advantages of non-contact, no environmental impact and high monitoring efficiency. Through the study of time-series InSAR multi-source data, we selected the reasonable data sources and data processing methods to further improve the monitoring accuracy.

关 键 词：时序InSAR 地面沉降 多源数据 数据处理 空间分析 

分 类 号：P237[天文地球—摄影测量与遥感]