基于PS-InSAR技术的地表沉降分析
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摘要
由于传统测量手段对于地表沉降监测不足,PS-InSAR技术具有高空间分辨率和一定程度能克服时间、空间以及大气的影响等优势,因而逐渐成为一种大范围地表沉降监测的主要方法。本文利用PS-InSAR技术,通过SARscape软件对收集到的34幅覆盖日本千叶市地区的ENVISAT ASAR遥感影像进行沉降监测实验。实验结果表明:日本千叶市地区最大累计沉降量为58.965 mm,主要集中在城市地区,并且该地区的沉降和地下矿藏开发有关。
PS-In SAR technology makes up for the shortcomings of differential interferometric synthetic aperture radar( D-In SAR),and gradually becomes one of the main methods for large-scale surface subsidence monitoring. In this paper,we use 34 ENVISAT ASAR images in Chiba,Japan to carry out PS experiment and sedimentation experiment. The results show that the maximum cumulative settlement in Chiba,Japan,is 58.965 mm,mainly in urban areas,where the subsidence is related to the exploitation of underground mineral deposits.
PS-In SAR technology makes up for the shortcomings of differential interferometric synthetic aperture radar( D-In SAR),and gradually becomes one of the main methods for large-scale surface subsidence monitoring. In this paper,we use 34 ENVISAT ASAR images in Chiba,Japan to carry out PS experiment and sedimentation experiment. The results show that the maximum cumulative settlement in Chiba,Japan,is 58.965 mm,mainly in urban areas,where the subsidence is related to the exploitation of underground mineral deposits.
引文
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[2] Kmapes B,Adam N. Velocity field retrieval from long term coherent points in radar interferometric stacks[J]. IEEE,2003(2):941-944.
[3] Hooper A.Persistent seatterer radar interferometry for crustal deformation studies and modeling of volcanie deformation[D]. Stanford:Stanford university,2006.
[4] Hooper,A.,H.Zebker,P.Segall,et all,A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers[J].Geophysical Research Letters,2004,31(23):23 611-23 615.
[5]丁荣荣,徐佳,林晓彬.基于PSInSAR技术的常州地表形变监测研究[J].测绘与空间地理信息,2015,38(2):51-54.
[6]王琪.利用永久散射体雷达干涉技术进行太原市地面沉降监测[J].测绘通报,2014(5):71-75.
[7]王景明,王春梅,刘科.地裂缝及其灾害研究的新进展[J].地球科学进展,2001,16(3):303-313.
[8]陈强,丁晓利,刘国祥. PS-DIn SAR公共主影像的优化选取[J].测绘学报,2007,36(4):395-399.
[9]胡乐银.应用InSAR时序分析方法监测断层活动性研究[D].青岛:山东科技大学,2010.