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http://dx.doi.org/10.7848/ksgpc.2013.31.5.375

Time Series Analysis with ALOS PALSAR images and GPS data: Detection of Ground Subsidence in the Mokpo Area using the SBAS Algorithm  

Kim, So-Yeon (Dept. Geoinformation Engineering, Sejong University)
Bae, Tae-Suk (Dept. Geoinformation Engineering, Sejong University)
Kim, Sang-Wan (Dept. Geoinformation Engineering, Sejong University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.31, no.5, 2013 , pp. 375-384 More about this Journal
Abstract
Most of regions within the city of Mokpo, located on the southwest coast of the Korean Peninsula, are subjected to significant subsidence because about 70% of the city is land reclaimed from the sea (Kim et al., 2005). In this study, we aimed to estimate the rate of subsidence over Mokpo by using PALSAR L-band dataset from 2006 to 2010. Time series analysis was performed as well using GPS surveying data from 2010 to 2012. Results from these two independent datasets are then compared and analyzed over the common period of time. GPS data processing provides the results of seasonal variation on the surface, that is, via repeatedly rising and falling in association with the periodic cycle. Therefore, a time series analysis was performed to calculate the rate of ground subsidence. The deformation rates calculated for the same point are 3.89cm/yr and 2.65cm/yr from the GPS data and SAR data, respectively. SAR and GPS data processing results show a very similar pattern in terms of magnitude of annual subsidence. Thus, if the two datasets are integrated together, new modeling on ground subsidence is feasible. Lastly, subsidence was detected in a landfill area in the city of Mokpo, which has been continuously occurring through 2012.
Keywords
SAR (Synthetic Aperture Radar); GPS (Global Positioning System); Ground subsidence; GPS relative positioning; Time series analysis; Mokpo;
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Times Cited By KSCI : 7  (Citation Analysis)
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