Toggle Main Menu Toggle Search

Open Access padlockePrints

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

Lookup NU author(s): Dr Haibin Luo, Professor Zhenhong Li, Jiajun Chen, Dr Christopher Pearson

Downloads


Licence

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


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.


Publication metadata

Author(s): Luo H, Li Z, Chen J, Pearson C, Wang M, Lv W, Ding H

Publication type: Article

Publication status: Published

Journal: International Journal of Applied Earth Observations and Geoinformation

Year: 2018

Volume: 74

Pages: 130-137

Print publication date: 01/02/2019

Online publication date: 18/09/2018

Acceptance date: 04/09/2018

Date deposited: 08/09/2018

ISSN (print): 1569-8432

ISSN (electronic): 1872-826X

Publisher: Elsevier BV

URL: https://doi.org/10.1016/j.jag.2018.09.004

DOI: 10.1016/j.jag.2018.09.004


Altmetrics

Altmetrics provided by Altmetric


Actions

Find at Newcastle University icon    Link to this publication


Share