Abstract
Single-pair differential synthetic aperture radar interferometry (DInSAR) as well as more advanced methods, such as persistent scatterer interferometry (PSI), allow vertical displacements to be detected at the sub-centimeter level. Since 2014 free SAR data—Sentinel-1—have been collected systematically under the COPERNICUS program at a high temporal resolution and with global coverage. Such an open-access policy greatly helps build a wide user-community and develop diverse SAR-based applications. In this study conventional single-pair DInSAR and the PSI techniques were employed to monitor the vertical displacements of the newly constructed D8 highway, more specifically the part passing through the České Středohoří Mountains, where, during highway construction, a massive landslide occurred in June 2013. For both DInSAR and PSI, free Sentinel-1 radar data were used; moreover, the conventional single-pair DInSAR workflow was processed using freely available SNAP software. Results from the radar interferometry were validated using in situ techniques, such as geodetic measurements, 3D inclinometers, and laser scanning. Both approaches proved their ability to achieve reliable results in detecting vertical displacement “hotspots”. Additionally, in terms of absolute values, the PSI interferometry corresponds very well with the in situ measurements. This study also shows that open-source solutions (free data and SW) provided under the COPERNICUS program bring a great potential for monitoring vertical displacements.
Highlights
Landslides are prominent geohazards affecting the natural environment, and human settlements and infrastructure
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Summary
Landslides are prominent geohazards affecting the natural environment, and human settlements and infrastructure. Detection and continuous monitoring of landslide-prone areas is, crucial for its prevention and prediction [1,2]. Such monitoring is usually focused on continuous surface deformation and displacement detection which serve as indicators of a possible sudden slip with further damages. In the last decade modern remote sensing data and methods (e.g., synthetic aperture radar: SAR) have been used more and more often as new means to detect landslide-prone areas before a disaster happens and, to monitor vertical displacements in case the disaster has already happened [3,4,5,6,7]. Due to its ability to identify deformations from millimeters to centimeters, DinSAR is a suitable method for monitoring slow-moving landslides
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