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http://dx.doi.org/10.22640/lxsiri.2018.48.2.137

Comparison of SqueeSAR Analysis Method And Level Surveying for Subsidence Monitoring at Landfill Site  

Kim, Dal-Joo (Department of Urban Construction Engineering, College of Urban Sciences, Incheon National University)
Lee, Yong-Chang (Department of Urban Construction Engineering, College of Urban Sciences, Incheon National University)
Publication Information
Journal of Cadastre & Land InformatiX / v.48, no.2, 2018 , pp. 137-151 More about this Journal
Abstract
Recently, National interest has been rising due to earthquakes in Gyeongju and Pohang, disasters caused by landslides, landslides, and sinkholes around construction sites, and damage caused by disasters. SAR is able to detect ground displacement in mm for wide area, collect data through satellite, predict timeliness of crustal change by time series analysis, and reduce disaster and disaster damage. The purpose of this study is to investigate the latest SAR interference analysis technique (SqueeSAR analysis technique) of Sentinel-1A satellite (SAR sensor) of European ESA for about 3 years by selecting the 1st landfill site in the metropolitan area in Incheon, The settlement amount was calculated in a time series. Especially, in order to examine the accuracy of the subsidence and subsidence tendency by the SqueeSAR analysis method, the ground level survey was compared and analyzed for the first time in Korea. Also, the tendency of the subsidence trend was predicted by analyzing the time series and correlation trend of the subsidence for three years. Through this study, it is expected that disaster prevention and disaster prevention such as sinkhole and landslide can be utilized from time series monitoring of crustal variation of the land.
Keywords
SAR; Monitoring; Subsidence; Landfill site; Sinkhole; Landside;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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