Abstract
This paper reviews existing remote sensing methods of road damage detection and demonstrates the possibility of using DInSAR (Differential Interferometry SAR) method to identify endangered road sections. In this study two radar images collected by Sentinel-1 satellite have been used. Images were acquired with 24 days interval in 2015. The analysis allowed to estimate the scale of the post-mining deformation that occurred in Upper Silesia and to indicate areas where road infrastructure is particularly vulnerable to damage.
Highlights
One of the biggest challenges in road infrastructure management is early detection of its damages and taking actions to reduce repairing costs
Mining damage caused by mining operations conducted under the Karb district in Bytom has been registered for many years
Perhaps if the monitoring of the stability of this area was carried out earlier, the decision to build a restaurant in this place would not have been made and the DK88 and DK94 routes would be planned in a different way to avoid its destruction
Summary
One of the biggest challenges in road infrastructure management is early detection of its damages and taking actions to reduce repairing costs. Many studies shows that early detection of damages increase the road quality life and reduce the total maintenance cost. In the paper [1] authors described destructive effects of subsidence in case of linear, large infrastructure objects (like railway and highway). Authors presented parameters responsible for horizontal deformation, inclination and curvature as a reason of problems with infrastructure and even its destruction. Vertical dislocations may cause serious damage in the form of additional compression, tensile, torsional stress, etc. This can significantly limit or even prevent from use of communication routes subjected to such processes.
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