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Principal Component Analysis of GPS Height Time Series from 14 Permanent GPS Stations Operated by National Geographic Information Institute  

Kim, Kyeong-Hui (인하대학교 공과대학 지리정보공학과)
Park, Kwan-Dong (인하대학교 공과대학 지리정보공학과)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.28, no.3, 2010 , pp. 361-367 More about this Journal
Abstract
We produced continuous vertical time series of 14 permanent GPS stations operated by National Geographic Information Institute by processing about five years of data. Then we computed the height velocities by using a linear regression fitting of those time series, and did principal component analysis to understand the overall characteristics of the series. The prominent signal obtained as the first mode of PCA results showed an average of 4.2 mm/yr vertical velocity. The values of the first mode eigenvectors were consistent at all sites. Thus, we concluded that all the 14 stations are uplifting nearly at the same velocity for the test period. Then changes of precision before and after removing the first mode signal from the 14 height time series were analyzed. As a result, the precision improved 34.8% on average.
Keywords
Principal Component Analysis; PCA; GPS; Precision; Time Series;
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Times Cited By KSCI : 1  (Citation Analysis)
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