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September 10, 2025Remote SensingOpen Access

Identifying Deformation Drivers in Dam Segments Using Combined X- and C-Band PS Time Series

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Authors

JZJonas ZiemerJJJannik JänichenGSGideon Stein

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Overview

Observational analysis identifies deformation drivers in dam segments using enhanced time series data, suggesting implications for monitoring strategies.

Key Points

  • Monitoring identified temperature as the main long-term driver impacting dam deformations over five years.
  • Combining TerraSAR-X and Sentinel-1 data improved monitoring capabilities, enhancing detection of deformation effects.
  • The study utilized persistent scatterer interferometry and demonstrated good agreement with traditional measurement methods.
  • Integrating multiple datasets benefits monitoring frameworks, especially where few persistent scatterer points can be identified.

Cite This Study

Ziemer et al. (2025) studied this question.

synapsesocial.com/papers/68c1ad6a54b1d3bfb60e5f4bhttps://doi.org/10.3390/rs17152629
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  1. 1Advancing dam monitoring: integrating MT-InSAR and in situ data for the analysis and prediction of dam deformations2026
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  4. 4Time Series Analysis of GNSS, InSAR, and Robotic Total Station Measurements for Monitoring Vertical Displacements of the Dniester HPP Dam (Ukraine)2025
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