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TitleRemoval of systematic seasonal atmospheric signal from interferometric synthetic aperture radar ground deformation time series
AuthorSamsonov, S VORCID logo; Trishchenko, A PORCID logo; Tiampo, K; Gonzalez, P J; Zhang, YORCID logo; Fernández, J
SourceGeophysical Research Letters vol. 41, issue 17, 2014 p. 6123-6130, Open Access logo Open Access
Alt SeriesEarth Sciences Sector, Contribution Series 20140298
Mediapaper; on-line; digital
File formatpdf
AreaNaples; Italy
Lat/Long WENS 14.0000 14.5000 40.9167 40.7500
Subjectsgeophysics; remote sensing; radar imagery; deformation; subsidence; RADARSAT-2; Envisat
Illustrationslocation maps; tables; plots
ProgramRemote Sensing Science
Released2014 09 10
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 and with a remarkable clarity we observed a decade long elevation-dependent seasonal oscillations of the vertical deformation component with amplitude of up to 1.5 cm. This is substantially larger than the long-term annual deformation rate (<0.6 cm/year). Analysis, utilizing surface weather and radiosonde data, linked observed oscillations with seasonal fluctuations of water vapour, air pressure and temperature in a lower troposphere. The modelled corrections are in good agreement with observed results, the mean, absolute and RMS differences are 0.014cm, 0.073cm, 0.087cm, correspondingly. Atmospherically corrected time series confirmed continuing subsidence at Vesuvius previously observed by GPS and levelling techniques.
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.

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