Monitoring dam structural health from space: Insights from novel InSAR techniques and multi-parametric modeling applied to the Pertusillo dam Basilicata,Italy |
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Affiliation: | 1. Roy M. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, TX 75275, United States;2. Department of Geological and Mining Engineering and Sciences, Michigan Technological University, Houghton, MI 49931, United States;1. GFZ German Research Centre for Geosciences, Department of Geodesy, Section of Remote Sensing, 14473 Potsdam, Germany;2. Institute for Photogrammetry and GeoInformation, Leibniz Universität Hannover, 30167 Hannover, Germany;3. Norwegian University of Science and Technology, Department of Civil and Environmental Engineering, 7491 Trondheim, Norway;4. Forest, Range and Watershed Management (FRWM) Organization, 1955756114 Tehran, Iran;5. National Cartographic Centre of Iran (NCC), Tehran, Iran |
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Abstract: | The availability of new constellations of synthetic aperture radar (SAR) sensors is leading to important advances in infrastructure monitoring. These constellations offer the advantage of reduced revisit times, providing low-latency data that enable analysis that can identify infrastructure instability and dynamic deformation processes.In this paper we use COSMO-SkyMed (CSK) and TerraSAR-X (TSX) data to monitor seasonal induced deformation at the Pertusillo dam (Basilicata, Italy) using multi-temporal SAR data analysis. We analyzed 198 images spanning 2010–2015 using a coherent and incoherent PS approach to merge COSMO-SkyMed adjacent tracks and TerraSAR-X acquisitions, respectively. We used hydrostatic-seasonal-temporal (HST) and hydrostatic-temperature-temporal (HTT) models to interpret the non-linear deformation at the dam wall using ground measurements together with SAR time-series analysis. Different look geometries allowed us to characterize the horizontal deformation field typically observed at dams. Within the limits of our models and the SAR acquisition sampling we found that most of the deformation at the Pertusillo dam can be explained by taking into account only thermal seasonal dilation and hydrostatic pressure. The different models show slightly different results when interpreting the aging term at the dam wall. The results highlight how short-revisit SAR satellites in combination with models widely used in the literature for interpreting pendulum and GPS data can be used for supporting structural health monitoring and provide valuable information to ground users directly involved in field measurements. |
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Keywords: | Time-series analysis Dam HST and HTT model SAR Interferometry |
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