A least-squared estimator [13, 16] is then applied on each arc of the network to calculate the relative subsidence parameters (i.e., the subsidence rate and DEM error).
We propose a conceptual model that includes three processes acting over contrasting but somewhat overlapping timescales that are inferred to produce the observed subsidence patterns, fracture network, and cooling trends of the 1993 deposit.
In this paper, we focus on analyzing the PSI-retrieved subsidence along road networks.
Therefore, the effective and accurate monitoring of subsidence along road networks is necessary in preventing these negative effects.
After PS detection, all PSs are connected to form a Delaunay triangulation network, which is taken as the subsidence observation network [11, 20].
Open image in new window Fig. 10 Unrestored subsidence patches in GI network.
The results indicate that the high-resolution TSX PSI is capable of providing comprehensive and detailed subsidence information regarding road networks with millimeter-level accuracy.
We select the Xiqing district in Tianjin (China) as the study area to investigate the applicability and potential of the TSX PSI approach in subsidence inversion along road networks.
These findings show a significantly uneven subsidence pattern along the road network.
We propose to apply PSI approach using high-resolution TSX imagery to extract the regional scale subsidence related to the road network.
