首页|联合PS/DS InSAR监测三河市及交通线路形变

联合PS/DS InSAR监测三河市及交通线路形变

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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.
Land subsidence and transportation routes deformation monitoring in Sanhe City based on joint PS/DS InSAR
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.

Sanhe Cityland subsidencetransportation infrastructure deformationInSARC band

吕潇然、方昊然、罗桂纯、郑立夫

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北京市地震局,北京 100080

中国水利水电科学研究院,北京 100038

三河市 地面沉降 交通基础设施形变 InSAR C波段

2024

测绘科学
中国测绘科学研究院

测绘科学

CSTPCD北大核心
影响因子:0.774
ISSN:1009-2307
年,卷(期):2024.49(7)