Abstract
This work presents the preliminary results of the exploration of Synthetic Aperture Radar (SAR) data archives of Envisat and TerraSAR-X data with multitemporal interferometric techniques like Persistent Scatterers Interferometry (PSI) and Small Baseline Interferometry (SBAS). The analyses were performed on two test areas located in vicinity of Rożnów reservoir in Southern Poland and Three Gorges area in Hubei province in China. Both areas are very challenging for interferometric techniques due to the very rough topography, sparse urbanization, dense vegetation and forest cover. Therefore big part of the work was devoted to improvements of algorithms and data processing chain.
It was found that the number of detected Persistent Scatterers (PS) could be increased by improvements applied to interferograms generation. In terms of PSI processing a multi criteria Persistent Scatterers Candidates selection method was used. The authors noticed that for such problematic areas it is still possible to successfully detect a number of PS but, the interpretation of the associated deformation is difficult and requires further studies.
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Acknowledgements
The research supported by ESA funded Dragon 3 Project ID: 10606 “Landslide identification, movement monitoring and risk assessment over rugged mountain area using advanced earth observation techniques”, Shuping landslide research was also supported by Chinese International Cooperation Department of the Ministry of Science and Technology; Grant: 2010DFB23380. Polish—China collaboration was supported by Inter-Governmental S&T Cooperation Project of Poland and China (3417, 3528). TerraSAR-X data for Rożnów area were supported by research project number NN526146037 funded by Polish Ministry of Science and Higher Education.
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Perski, Z., Liu, G., Wojciechowski, T., Jinhui, F., Wójcik, A. (2014).
Monitoring the Activity of Landslides in the Coastal Zones of Reservoirs with SAR Interferometry.
In: Sassa, K., Canuti, P., Yin, Y. (eds) Landslide Science for a Safer Geoenvironment. Springer, Cham. https://doi.org/10.1007/978-3-319-05050-8_52
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DOI: https://doi.org/10.1007/978-3-319-05050-8_52
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