Nowadays a wealth of information is available from different space geodetic techniques to address different study areas in the fields of geodesy and geophysics. The GNSS and InSAR techniques play a key role in the determination of crustal deformation with high precision and resolution which is a fundamental contribution towards the interpretation of geodynamic processes at different spatial and temporal scales. Dense GNSS networks allow determining the total water vapor content of the atmosphere thus contributing to short-term weather forecast. InSAR determined atmospheric artifacts can be compared with the GNSS estimates aiming at a higher coherence between the two techniques. The integration of GNSS and INSAR into a multi-technique approach for monitoring the Earth system will significantly contribute to the detection and understanding of both natural and anthropogenic fingerprints in climate variability and changes. GNSS coordinate time series often suffer from undesired signals of different nature which may impair the reliable estimation of the long-period trend and that should be therefore corrected in the original data series. We have adapted the STARS methodology, first proposed by Rodionov (2004), to the detection of discontinuities in the GPS time series of EUREF stations located in and around the city of Bologna in Italy. Jumps were identified due to changes in the reference system, to the magnitude 5.9 earthquake that on May 20th 2012 struck a vast area of the Po Plain, to increasing multipath effects in conjunction with the year 2000 solar maximum, to local water table variations and to instrumentation maintenance/changes. After correcting the GPS time series for the identified jumps, over the time period 2010-2011, comparisons were performed for the up and east coordinates with the results derived from a PS-InSAR analysis of COSMO SkyMed images made available by the Italian Space Agency (ASI). Differential tropospheric delays derived by both the GPS and PS-InSAR analysis were also compared.
Study of GPS and InSAR time series for detecting and understanding crustal deformation and atmospheric signals
PRATI, CLAUDIO MARIA;
2013-01-01
Abstract
Nowadays a wealth of information is available from different space geodetic techniques to address different study areas in the fields of geodesy and geophysics. The GNSS and InSAR techniques play a key role in the determination of crustal deformation with high precision and resolution which is a fundamental contribution towards the interpretation of geodynamic processes at different spatial and temporal scales. Dense GNSS networks allow determining the total water vapor content of the atmosphere thus contributing to short-term weather forecast. InSAR determined atmospheric artifacts can be compared with the GNSS estimates aiming at a higher coherence between the two techniques. The integration of GNSS and INSAR into a multi-technique approach for monitoring the Earth system will significantly contribute to the detection and understanding of both natural and anthropogenic fingerprints in climate variability and changes. GNSS coordinate time series often suffer from undesired signals of different nature which may impair the reliable estimation of the long-period trend and that should be therefore corrected in the original data series. We have adapted the STARS methodology, first proposed by Rodionov (2004), to the detection of discontinuities in the GPS time series of EUREF stations located in and around the city of Bologna in Italy. Jumps were identified due to changes in the reference system, to the magnitude 5.9 earthquake that on May 20th 2012 struck a vast area of the Po Plain, to increasing multipath effects in conjunction with the year 2000 solar maximum, to local water table variations and to instrumentation maintenance/changes. After correcting the GPS time series for the identified jumps, over the time period 2010-2011, comparisons were performed for the up and east coordinates with the results derived from a PS-InSAR analysis of COSMO SkyMed images made available by the Italian Space Agency (ASI). Differential tropospheric delays derived by both the GPS and PS-InSAR analysis were also compared.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
