气候变化领域集成服务门户(CCPortal): Integration of Range Split Spectrum Interferometry and conventional InSAR to monitor large gradient surface displacements

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DOI	10.1016/j.jag.2018.09.004
	Integration of Range Split Spectrum Interferometry and conventional InSAR to monitor large gradient surface displacements
	Luo H.; Li Z.; Chen J.; Pearson C.; Wang M.; Lv W.; Ding H.
发表日期	2019
ISSN	15698432
起始页码	130
结束页码	137
卷号	74
英文摘要	Incorrect unwrapping of dense interferometric fringes caused by large gradient displacements make it difficult to measure mining subsidence using conventional Interferometric Synthetic Aperture Radar (InSAR). This paper presents a Range Split Spectrum Interferometry assisted Phase Unwrapping (R-SSIaPU) method for the first time. The R-SSIaPU method takes advantage of (i) the capability of Range Split Spectrum Interferometry of measuring surface displacements with large spatial gradients, and (ii) the capability of conventional InSAR of being sensitive to surface displacements with limited spatial gradients. Both simulated and real experiments show that the R-SSIaPU method can monitor large gradient mining-induced surface movements with high precision. In the case of the Tangjiahui mine, the R-SSIaPU method agreed with GPS with differences of approximately 4.2 cm, whilst conventional InSAR deviated from GPS with differences of nearly 1 m. The R-SSIaPU method makes phase unwrapping less challenge, especially in the cases with large surface displacements. In addition to mining subsidence, it is believed that the R-SSIaPU method can be used to monitor surface displacements caused by landslides, earthquakes, volcanic eruptions, and glacier movements. © 2018 Elsevier B.V.
英文关键词	InSAR; Large gradient displacements; Mining-induced surface displacements; Phase unwrapping; Range Split Spectrum Interferometry
语种	英语
scopus关键词	displacement; interferometry; mining; monitoring; signal processing; subsidence; synthetic aperture radar; China
来源期刊	International Journal of Applied Earth Observation and Geoinformation
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156558
作者单位	School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, China; School of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom; Nanjing Kebo Space Information Technology Co., Ltd., Nanjing, 210000, China; School of Geomatics, Anhui University of Science and Technology, Huainan, 232001, China
推荐引用方式 GB/T 7714	Luo H.,Li Z.,Chen J.,et al. Integration of Range Split Spectrum Interferometry and conventional InSAR to monitor large gradient surface displacements[J],2019,74.
APA	Luo H..,Li Z..,Chen J..,Pearson C..,Wang M..,...&Ding H..(2019).Integration of Range Split Spectrum Interferometry and conventional InSAR to monitor large gradient surface displacements.International Journal of Applied Earth Observation and Geoinformation,74.
MLA	Luo H.,et al."Integration of Range Split Spectrum Interferometry and conventional InSAR to monitor large gradient surface displacements".International Journal of Applied Earth Observation and Geoinformation 74(2019).