Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography (한국측량학회지)

Korean Society of Surveying, Geodesy, Photogrammetry and Cartography (한국측량학회)
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Time Series Analysis with ALOS PALSAR images and GPS data: Detection of Ground Subsidence in the Mokpo Area using the SBAS Algorithm

ALOS PALSAR 영상과 GPS를 이용한 시계열 분석: SBAS 알고리즘을 적용한 목포시 일원의 지반침하 연구

  • Kim, So-Yeon (Dept. Geoinformation Engineering, Sejong University) ;
  • Bae, Tae-Suk (Dept. Geoinformation Engineering, Sejong University) ;
  • Kim, Sang-Wan (Dept. Geoinformation Engineering, Sejong University)
  • Received : 2013.07.15
  • Accepted : 2013.10.29
  • Published : 2013.10.31
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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.

연안 도시인 목포는 시 면적의 약 70%가 바다를 매립하여 이루어진 도시로(Kim et al., 2005) 매립에 의한 지반침하 현상이 지속적으로 보고되고 있다. 본 연구에서는 ALOS PALSAR L-band 위성에서 얻어진 영상을 이용하여 2006년부터 2010년까지 목포시 일원에서 발생한 지반침하를 관측하였고, 2010년부터 2012년까지 획득된 GPS 현장 자료의 시계열 분석을 통해 지반침하의 양상을 비교, 분석하였다. GPS 자료처리 결과 일정한 주기를 가지고 지표의 상승과 하강이 반복되는 양상이 나타났다. 따라서 이를 제외한 정확한 지반침하량만을 계산하기 위해서 시계열 분석을 수행하였다. 분석결과 GPS 자료로부터 계산된 지반침하 속도는 3.89cm/yr이고, 같은 지점에서 SAR 영상으로부터 관측된 지반침하 속도는 2.65cm/yr로 관측되었다. SAR와 GPS 자료처리 결과가 매우 유사하게 나타났으며 이를 바탕으로 두 자료를 통합하여 새로운 지반침하 모델링이 가능함을 시사한다. 또한 지반침하가 관측된 곳은 간척지에 해당하며, 2012년까지 지반침하가 지속적으로 발생했음을 확인하였다.

Keywords

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