Integration of Range Split Spectrum Interferometry and conventional InSAR to monitor large gradient surface displacements

Luo, Haibin Li, Zhenhong Chen, Jiajun Pearson, Christopher Wang, Mingming Lv, Weicai Ding, Haiyong

Integration of Range Split Spectrum Interferometry and conventional InSAR to monitor large gradient surface displacements

Luo, Haibin 1Li, Zhenhong 2Chen, Jiajun 2Pearson, Christopher 2Wang, Mingming 3Lv, Weicai 4Ding, Haiyong1
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作者信息

  • 1. Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Jiangsu, Peoples R China
  • 2. Newcastle Univ, Sch Engn, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
  • 3. Nanjing Kebo Space Informat Technol Co Ltd, Nanjing 210000, Jiangsu, Peoples R China
  • 4. Anhui Univ Sci & Technol, Sch Geomat, Huainan 232001, Peoples R China
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Abstract

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.

Key words

Mining-induced surface displacements/Large gradient displacements/Range Split Spectrum Interferometry/InSAR/Phase unwrapping

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出版年

2019
International journal of applied earth observation and geoinformation

International journal of applied earth observation and geoinformation

SCI
ISSN:0303-2434
被引量4
参考文献量39
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