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:: Volume 11, Issue 4 (6-2022) ::
JGST 2022, 11(4): 83-96 Back to browse issues page
Monitoring the earth-fill dams displacement by using the time series radar data (Case study: Mamlu dam)
E. Ali Asl Khiabani *, M. J. Valadan Zoej, Y. Maghsoudi
Abstract:   (508 Views)
With increasing the number of large engineering structures in cities, experts are looking for a good solution for monitoring these structures to avoid great financial and human damages. From the past, leveling and ground surveying were carried out to measure the deformation of structures and ground displacements along the vertical direction; but these measurements are time-consuming and costly. Also, the using of precision instruments and deformation sensors are not suitable because of their high cost, time-consuming and complexity.
Due to the ability of Radar images and Radar interferometry techniques in the field of monitoring the ground displacement, in this research, we are looking for evaluating the potential of this method for monitoring the dam deformation and displacements. To achieve this goal, we used two sets of radar data which are CosmoSkyMed-X and Sentinel-1A.  
In the time series processing of these images, the PSI method was selected then the star graph and Deloney triangulation were used. In the next step, we used both linear and nonparametric models for displacement estimation. The results were evaluated by applying two different displacement models and finally, the model with higher temporal coherence was selected as the appropriate model and the other model was discarded. In processing the Mamlu dam images, the appropriate model for monitoring the displacements with S-1A Radar data was the nonparametric model and for CSK data was linear model.
Due to the lack of ground data collection from Mamlu dam in the same period of time with radar data, to evaluate the accuracy and proof the obtained results, the results of two radar data sets (CSK and S-1A) were compared with each other and a very high agreement was observed between the results of these data sets that the amount of RMSE calculated for ASC data of these two sensors is equal to 0.7703 mm and for DSC data was calculated 0.9551 mm, which is a very high consistency of the results, which can be a reason for the accuracy of the extracted results.
Article number: 7
Keywords: Radar interferometry, Persistent scatterer technique, Earth-fill dam, CosmoSkyMed-X images, Sentinel-1A images
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Type of Study: Research | Subject: Photo&RS
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Ali Asl Khiabani E, Valadan Zoej M J, Maghsoudi Y. Monitoring the earth-fill dams displacement by using the time series radar data (Case study: Mamlu dam). JGST 2022; 11 (4) :83-96
URL: http://jgst.issge.ir/article-1-969-en.html

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Volume 11, Issue 4 (6-2022) Back to browse issues page
نشریه علمی علوم و فنون نقشه برداری Journal of Geomatics Science and Technology