摘要
针对河北省三河市缺少充足地表相干点及道路形变研究的现状,利用2021年10月—2023年10月Sentinel-1升轨影像,联合DS/PS的时序InSAR技术,计算河北省三河市地表形变场,提取三河市道路和铁路两类交通基础设施的形变特征,定量论证联合DS/PS方法的C波段SAR数据在交通基础设施形变监测上的能力。研究结果表明:三河市地表呈现一个大沉降漏斗及多个小沉降漏斗的空间分布模式。最大的沉降漏斗位于燕郊地区,呈“X”型展布,最大沉降速率为39 mm/a,沉降速率表现为先缓慢后增大的趋势。同时,三河市高速公路、一级公路、二级公路、三级公路、其他公路和铁路交通基础设施的形变呈不均匀分布,形变路段主要发生在燕郊地区。联合DS/PS得到的相干点密度约为仅使用PS得到的相干点密度的5~12倍,并且有超过80%道路段的相干点密度满足高覆盖等级,联合DS/PS的时序InSAR算法很大程度上提高了C波段SAR数据在交通基础设施形变监测上的能力。
Considering the few studies focusing on the road deformation of Sanhe city and lack of plenty of coherent scatterers in Sanhe city,the total of 60 Sentienl-1 images ranging from October 2021 to October 2023 and the multi-temporal InSAR joined DS and PS were used to calculate the surface deformation field of Sanhe city.Then the deformation along two kinds of transportation infrastructure(roads and railways)are extracted.Finally,the ability of C-band SAR data based on the DS/PS to monitor the transportation infrastructure deformation are quantitatively demonstrated.The results are:the spatial pattern of surface subsidence in Sanhe shows a large subsidence funnel combined with several small subsidence funnels.The largest subsidence funnel,presenting a“X”distribution,is located at Yanjiao area with the maximum subsidence velocity of 39 mm/a.Besides that,the subsidence velocity of Yanjiao has a trend of first slow and then increasing.The spatial pattern of deformation along the expressways,first-class roads,second-class roads,third-class roads,other roads,and the railways is uneven,with the deformed road segments mainly located at Yanjiao area.The coherent scatterers density by joining the DS and PS is 5-12 times than that of only using PS.Meanwhile,the percentage of road segments whose coherent scatterers density meet the high coverage level is more than 80%.Therefore,the multi-temporal InSAR joined DS and PS greatly improves the ability of C-band SAR data to monitor the transportation infrastructure deformation.
作者
吕潇然
方昊然
罗桂纯
郑立夫
LYU Xiaoran;FANG Haoran;LUO Guichun;ZHENG Lifu(Beijing EarthquakeAgency,Beijing 100080,China;China Institute of Water Resources and Hydropower Research,Beijing 100038,China)
出处
《测绘科学》
CSCD
北大核心
2024年第7期195-208,共14页
Science of Surveying and Mapping
作者简介
吕潇然(1993-),女,河北邯郸人,工程师,博士,主要研究方向为时序InSAR算法及其在震后形变机制、地质灾害的应用。E-mail:lvxr@radi.ac.cn;通信作者:方昊然,工程师,E-mail:fanghr@iwhr.com。
