Analysis of embankments on the AVE railway in Santaella (Córdoba)

The following figure shows the average strain rates in what is called LOS (satellite line of sight) in upward and downward geometry for the analyzed period (in this case from January 2018 to December 2022).

The InSAR point cloud location, colored by the mean strain rate in the satellite's line of sight, shown in upward (left) and downward (right) geometry.
Location of the InSAR point cloud colored by the mean strain rate in the satellite line of sight in upward (left) and downward (right) geometry.

In satellite geometry we can already identify the most active areas of the slope, we observe areas that behave differently in upward geometry than in downward geometry, which surely indicates, as we will see later, movements in planimetry.

The time series of deformation in specific areas of the slope show the time evolution of deformation in upward LOS and downward LOS. We see in which periods the deformation accelerates or slows down in satellite geometry.

Slope Analysis on the AVE Railway in Santaella, Córdoba (Spain)
Location of the InSAR point cloud colored by the mean strain rate in LOS upward and detail of strain evolution (2018-2022) in upward (blue lines) and downward (red lines). The lighter band around each date shows the standard deviation of deformation at each date of the points included in the analyzed polygon.

Even so, it is complicated to analyze in depth the behavior of these slopes on axes where we are not used to.

From the movements in satellite geometry (ascending and descending), we estimate using Detektia decomposition tools, the time series of vertical deformation and East-West planimetry.

The following image shows the InSAR point cloud colored with the mean strain rate but now in vertical and planimetry, axes that we understand much better.

The location of the InSAR point cloud, colored by the mean strain rate over the analyzed period, on the vertical axis and in East-West planimetry.
Location of the InSAR point cloud colored by the mean strain rate in the analyzed period on the vertical axis and in East-West planimetry.

As before, we can analyze the evolution of deformation, this time vertically and planimetrically, in some specific areas of the slope.

Analysis of Slopes on the AVE Railway in Santaella (Córdoba)
Location of the InSAR point cloud colored by the mean strain rate in East-West planimetry and detail of strain evolution (2018-2022) in East-West (blue lines) and vertical (red lines) planimetry. The lighter band around each date shows the standard deviation of deformation at each date of the points included in the analyzed polygon.

The decomposition of movements facilitates the interpretation of the slope behavior. The area above in the previous figure (slope located east of the track) has movement both in planimetry and vertically (settlement) with the movement in planimetry being much more pronounced.

The area below in the previous figure (slope located to the West of the track) has hardly any movement in the vertical axis but a clear displacement to the East (more than 2 cm of average accumulated displacement in the analyzed period).

Detektia tools have allowed grouping points with similar behavior both in vertical and planimetry.

The following image shows the result of the grouping, we can see how each of the clusters behaves and where they are located in space. This tool allows us to differentiate very quickly and visually the most active areas of the slope.

Analysis of Slopes on the AVE Railway in Santaella (Córdoba)

This work shows the enormous volume of valuable information on the behavior of linear infrastructures that InSAR technology is capable of generating.

This technology makes it possible to monitor tens of kilometers of linear infrastructure (including slopes and hillsides) at once, with a very positive impact on their management and preventive maintenance.

At Detektia we help you to continuously monitor embankments or other infrastructures. InSAR technology allows us to identify early any deformation in the ground surface.


Detektia Earth Surface Monitoring
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