Using wavelet tools to analyse seasonal variations from InSAR time-series data: a case study of the Huangtupo landslide - Landslides
- ️Singleton, A.
- ️Tue Jun 09 2015
Abstract
Synthetic aperture radar interferometry (InSAR) has proven to be a powerful tool for monitoring landslide movements with a wide spatial and temporal coverage. Interpreting landslide displacement time-series derived from InSAR techniques is a major challenge for understanding relationships between triggering factors and slope displacements. In this study, we propose the use of various wavelet tools, namely, continuous wavelet transform (CWT), cross wavelet transform (XWT) and wavelet coherence (WTC) for interpreting InSAR time-series information for a landslide. CWT enables time-series records to be analysed in time-frequency space, with the aim of identifying localized intermittent periodicities. Similarly, XWT and WTC help identify the common power and relative phase between two time-series records in time-frequency space, respectively. Statistically significant coherence and confidence levels against red noise (also known as brown noise or random walk noise) can be calculated. Taking the Huangtupo landslide (China) as an example, we demonstrate the capabilities of these tools for interpreting InSAR time-series information. The results show the Huangtupo slope is affected by an annual displacement periodicity controlled by rainfall and reservoir water level. Reservoir water level, which is completely regulated by the dam activity, is mainly in ‘anti-phase’ with natural rainfall, due to flood control in the Three Gorges Project. The seasonal displacements of the Huangtupo landslide is found to be ‘in-phase’ with respect to reservoir water level and the rainfall towards the front edge of the slope and to rainfall at the higher rear of the slope away from the reservoir.
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Acknowledgments
R. Tomás was supported by the Generalitat Valenciana fellowship BEST-2011/225 and by the Ministry of Education, Culture and Sport trough the project PRX14/00100. Part of this work is also supported by the Spanish Ministry of Economy and Competitiveness and EU FEDER funds under project TEC2011-28201-C02-02, by the Natural Environmental Research Council (NERC) through the GAS and LICS projects (ref. NE/H001085/1 and NE/K010794/1, respectively) as well as the ESA-MOST DRAGON-3 projects (ref. 10607 and 10665). We thank JPL/Caltech for the use of ROI_PAC, TU-Delft for DORIS and Andy Hooper for StaMPS in our data processing and analysis. The authors also acknowledge A. Grindsted, J.C. Moore and S. Jevrejeva for the MatLab package for CWT, XWT and WTC analysis and two anonymous reviewers and F. Raspini (University of Florence) for their constructive suggestions and comments, which have been carefully incorporated into the revised manuscript.
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Authors and Affiliations
Departamento de Ingeniería Civil, Escuela Politécnica Superior, Universidad de Alicante, P.O. Box 99, 03080, Alicante, Spain
R. Tomás
COMET, School of Civil Engineering and Geosciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK
Z. Li & A. Singleton
Instituto Universitario de Investigación Informática, Universidad de Alicante, P.O. Box 99, 03080, Alicante, Spain
J. M. Lopez-Sanchez
Key Laboratory for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and Geo-Information, College of Information Engineering, Shenzhen University, Shenzhen, 518060, China
P. Liu
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Tomás, R., Li, Z., Lopez-Sanchez, J.M. et al. Using wavelet tools to analyse seasonal variations from InSAR time-series data: a case study of the Huangtupo landslide. Landslides 13, 437–450 (2016). https://doi.org/10.1007/s10346-015-0589-y
Received: 21 November 2014
Accepted: 13 May 2015
Published: 09 June 2015
Issue Date: June 2016
DOI: https://doi.org/10.1007/s10346-015-0589-y