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TitleSeasonal tropospheric oscillations observed in InSAR time series
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AuthorSamsonov, S V; Trishchenko, A; Tiampo, K F; González, P J; Fernández, J; Zhang, Y
SourceGeomatics Canada, Scientific Presentation 4, 2015, 1 sheet, https://doi.org/10.4095/296137 (Open Access)
Image
Year2015
PublisherNatural Resources Canada
Documentserial
Lang.English
Mediaon-line; digital
File formatpdf
AreaNaples Bay; Campi Flegrei; Mount Vesuvius; Italy
Lat/Long WENS 14.3333 14.5000 40.8167 40.7333
Subjectsgeophysics; structural geology; deformation; volcanoes; remote sensing; radar imagery; radar methods; troposphere; InSAR
Illustrationslocation maps; plots; tables
ProgramMethodology, Remote Sensing Science
Released2015 03 31
AbstractApplying the Multidimensional Small Baseline Subset Interferometric Synthetic Aperture Radar (MSBAS InSAR) algorithm to 250 ENVISAT and RADARSAT-2 SAR images spanning 2003-2013 we computed time series of ground deformation over Naples Bay Area in Italy. Two active volcanoes, Vesuvius and Campi Flegrei, are located in this area in close proximity to a densely populated city of Naples. For the first time with a remarkable clarity in the vertical component of time series we observed elevation dependent seasonal oscillations with an amplitude of up to 1.5 cm, substantially larger than the longterm annual deformation rate. Analysis, utilizing ground weather station and radiosonde data, linked observed oscillations with seasonal fluctuations of water vapor, air pressure and temperature in a lower troposphere. Atmospherically corrected time series confirmed continuing subsidence at Vesuvius previously observed by GPS and levelling techniques. Developed methodology demonstrated that for spatially localized studies the Atmospheric Path Delay (APD) can be successfully modeled as an elevation dependent seasonally oscillating signal.
Summary(Plain Language Summary, not published)
In this poster we present a new methodology that improves the precision of the ground deformation measurements calculated from radar imagery by about a factor of two. We used historic radar data acquired since 2003 over a region in Italy that is suitable for such studies. Analyses, utilizing surface weather and radiosonde data, linked the observed signal with seasonal fluctuations of water vapour, air pressure and temperature in a lower troposphere. The proposed correction is in a good agreement with observed results.
GEOSCAN ID296137