4D surface kinematics monitoring through terrestrial radar interferometry and image cross-correlation coupling

Abstract

Complex gravitational phenomena can require terrestrial remote sensing solutions for monitoring their possible evolution, especially when in situ installations are not possible. This study merges terrestrial radar interferometry (TRI) and image cross-correlation (ICC) processing, which can detect complementary motion components, to obtain a 3-dimensional system able to measure the actual surface motion field of a pre-defined target. The coupling can be carried out on data acquired from different installations of the devices, and by applying specific transformations of the related coordinate systems. The data georeferencing is a critical issue that affects the correct spatial correspondence of the data and a new approach for georeferencing radar data is proposed. The result is a spatio-temporal (3 + 1-dimensional) high-resolution representation of the surface kinematics. The presented method has been tested for the measurement of the Planpicieux glacier surface kinematics (NW of Italy). The error analysis revealed a millimeter accuracy and precision of the measurement and a georeferencing uncertainty of a few metres.

Image Classification for Automated Image Cross-Correlation Applications in the Geosciences

“…The glacier is characterised by relevant kinematics and dynamics; numerous detachments from the snout have endangered the underlying hamlet of Planpincieux. This glacier has therefore been the subject of various remote sensing surveys in the recent past [15,34,46]. Two different cameras monitor the evolution of the glacier: PPCX1 acquires images of the lower part of the glacier while PPCX2 acquires images of the right lower tongue, the most active part of the glacier.…”

“…The processing chain adopted in this study is based upon the approach presented in Dematteis et al [34], and can be divided into four steps. First, certain image enhancement operations are conducted [12][13][14].…”

An experimental study of the feasibility of phase‐based video magnification for damage detection and localisation in operational deflection shapes

“…Vision-based techniques are also often coupled with other more traditional techniques, especially for the monitoring of the dynamics of vast surfaces such as e.g. landslips or glaciers [25]. In the field of SHM, they have been successfully applied extensively (see, e.g., [26][27][28][29][30][31][32]).…”

Digital Image Correlation (DIC) Analysis of the 3 December 2013 Montescaglioso Landslide (Basilicata, Southern Italy): Results from a Multi-Dataset Investigation

“…The above findings indicate that landslides characterized by fast movements and/or episodic occurrences might be more successfully investigated by employing amplitude-based techniques (such as the DIC) than interferometric-based analyses, because the movement may induce important changes in the surface topography. In fact, when a large ground displacement between two SAR images collected at different times in the same geometry is too large to be measured by interferometry (InSAR), image-based techniques, such as mainly the sub-pixel image-correlation method, can be particularly suitable, complementary and successful [37,[96][97][98][99][100][101][102][103][104][105][106][107][108][109][110][111].…”