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http://dx.doi.org/10.7780/kjrs.2018.34.1.7

Using a Refined SBAS Algorithm to Determine Surface Deformation in the Long Valley Caldera and Its Surroundings from 2003-2010  

Lee, Won-Jin (Earthquake and Volcano Research Division, Korea Meteorological Administration)
Lu, Zhong (Roy M. Huffington Department of Earth Sciences, Southern Methodist University)
Jung, Hyung-Sup (Department of Geoinfomatics, The University of Seoul)
Park, Sun-Cheon (Earthquake and Volcano Research Division, Korea Meteorological Administration)
Lee, Duk Kee (Earthquake and Volcano Research Division, Korea Meteorological Administration)
Publication Information
Korean Journal of Remote Sensing / v.34, no.1, 2018 , pp. 101-115 More about this Journal
Abstract
The Long Valley area and its surroundings are part of a major volcano system where inflation occurred in the resurgent dome in the 1990s. We used ENVISAT data to monitor surface deformation of the Long Valley area and its surroundings after the inflation, from 2003-2010. To retrieve the time series of the deformation, we applied the refined Small BAseline Subset (SBAS) algorithm which is improved using an iterative approach to minimize unwrapping error. Moreover, ascending and descending data were used to decompose the horizontal and vertical deformation in detail. To confirm refined SBAS results, we used GPS dataset. The InSAR errors are estimated as ${\pm}1.0mm/yr$ and ${\pm}0.8mm/yr$ from ascending and descending tracks, respectively. Compare to the previous study of 1990s over the Long Valley and its surroundings, Paoha Island and CASA geothermal area still subside. The deformation pattern in the Long Valley area during the study period (2003-2010) went through both subsidence (2003-2007) and slow uplift(2007-2010) episodes. Our research also shows no deformation signal near McGee Creek. Our study provided a better understanding of the surface changes of the indicators in the 1990s and 2000s.
Keywords
InSAR; Small BAseline Subset algorithm (SBAS); Long Valley;
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