How to process precise leveling data to determine subsidence?
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To process precise leveling data for subsidence determination, several steps can be followed. First, preprocess the original data by matching point clouds and segmenting pavement points . Next, interpolate pavement points into a regular grid for easier comparison . Then, smooth the pavement point cloud data using Gaussian kernel convolution to enhance accuracy in comparison . Finally, calculate the height differences to identify subsidence areas and compare them against a threshold value for detection . Additionally, comparing subsidence rates obtained from precise leveling with those from Persistent Scatterer Interferometry (PSI) techniques can provide valuable insights into subsidence patterns in urban areas .
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| Papers (5) | Insight |
|---|---|
| Precise leveling data for subsidence determination involves measuring geodetic-grade bolts on building foundations and comparing them to SAR data processed using a PSI algorithm. | |
| Process precise leveling data by preprocessing, grid interpolation, Gaussian kernel smoothing, and height difference calculation to detect subcentimeter-level subsidence in urban roads using mobile laser scanner data. | |
1 Citations | Precise leveling data for subsidence determination can be processed using techniques like Post Processed Static (PPS) and Precise Point Positioning (PPP) with accuracies around 2 cm. |
12 Citations | Precise leveling data is processed to determine subsidence rates by comparing elevation measurements over time, aiding in identifying areas undergoing land surface deformation, as shown in the study. |
12 Nov 2015 | Process precise leveling data by combining it with PSI results using cokriging technique to quantify subsidence, as done in central Taiwan to monitor land deformation accurately. |
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