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F Casu - One of the best experts on this subject based on the ideXlab platform.
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four dimensional surface evolution of active rifting from spaceborne sar data
Geosphere, 2016Co-Authors: F Casu, Andrea ManconiAbstract:We present a case study for detecting the four-dimensional (4-D) Displacement of rift zones affected by large-magnitude deformation, by using spaceborne synthetic aperture radar (SAR) data. Our method relies on the combination of Displacement Time series generated from pixel offset estimates on the amplitude information of multitemporal SAR images acquired from different orbit passes and with different looking geometries. We successfully applied the technique on advanced SAR (ASAR) Envisat data acquired from ascending and descending orbits over the Afar rift zone (Ethiopia) during the 2006–2010 Time span. Our results demonstrate the effectiveness of the proposed technique to retrieve the full 4-D (i.e., north, east, up, and Time) Displacement field associated with active rifting affected by very large-magnitude deformation.
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joint analysis of Displacement Time series retrieved from sar phase and amplitude impact on the estimation of volcanic source parameters
Geophysical Research Letters, 2012Co-Authors: Andrea Manconi, F CasuAbstract:[1] We study the impact of jointly analyzing the phase and amplitude information of a SAR dataset on the interpretation of the surface Displacement over Time in areas characterized by large dynamics. In particular, we compute the ground Displacement Time series over Fernandina and Sierra Negra calderas (Galapagos islands), by applying the Small BAseline Subset (SBAS) and the Pixel Offset (PO)-SBAS techniques to 25 ENVISAT SAR images acquired between 2003 and 2007, when both volcanoes experienced catastrophic eruptions. By merging the SBAS and PO-SBAS Time series results the spatial density of measurements increased substantially. In addition, the joint analysis of the Time series allows us to better constrain the temporal evolution of the magmatic source volume changes. Our results show that the joint use of the SBAS and PO-SBAS approaches may help for a more correct evaluation of large deformation affecting the Earth's surface caused by eruptions, earthquakes, and landslide phenomena.
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deformation Time series generation in areas characterized by large Displacement dynamics the sar amplitude pixel offset sbas technique
IEEE Transactions on Geoscience and Remote Sensing, 2011Co-Authors: F Casu, Andrea Manconi, Antonio Pepe, R LanariAbstract:We exploit the amplitude information of a sequence of synthetic aperture radar (SAR) images, acquired at different Times, in order to generate Displacement Time-series in areas characterized by large and/or rapid deformation, the size of which is on the order of the image's pixel dimensions. We follow the same rationale of the Small BAseline Subset (SBAS) differential SAR interferometry (DInSAR) approach, by coupling the available SAR images into pairs characterized by a small separation between the acquisition orbits. We exploit the amplitudes of the selected image pairs in order to calculate the relative across-track (range) and along-track (azimuth) pixel-offsets (PO). Finally, we apply the SBAS inversion strategy to retrieve the range and azimuth Displacement Time-series. This approach, referred to as pixel-offset (PO-) SBAS technique, has been applied to a set of 25 ENVISAT SAR observations of the Sierra Negra caldera, Galapagos Islands, spanning the 2003-2007 Time interval. The retrieved deformation Time-series show the capability of the technique to detect and measure the large Displacements affecting the inner part of the caldera that, in correspondence to the October 2005 eruption, reached several meters. Moreover, by comparing the PO-SBAS results to continuous GPS measurements, we estimate that the accuracy of the PO-SBAS Time-series is on the order of 1/30th of a pixel for both range and azimuth directions.
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surface Displacements associated with the l aquila 2009 mw 6 3 earthquake central italy new evidence from sbas dinsar Time series analysis
Geophysical Research Letters, 2010Co-Authors: R Lanari, Andrea Manconi, F Casu, Antonio Pepe, Michele Manunta, Manuela Bonano, M Manzo, P Berardino, Susi Pepe, E SansostiAbstract:[1] We investigate the surface Displacements in the area affected by the April 2009 L'Aquila earthquake (Central Italy) through an advanced DInSAR analysis. In particular, we apply the SBAS approach to retrieve deformation maps and Displacement Time series from ENVISAT data acquired between February 2003 and October 2009 and from COSMO-SkyMed data relevant to the six-month interval following the earthquake. Our analysis shows no evidence of pre-seismic surface deformation at the 35-day temporal sampling of the ENVISAT sensor. On the other hand, by benefiting of the high spatial resolution and temporal sampling of the COSMO-SkyMed satellites, we measure post-seismic Displacements at an unprecedented level of detail for a DInSAR analysis. This allows us to identify three main areas continuing to deform after the earthquake. In addition, our modeling shows that post-seismic Displacements are very likely related to the fault afterslip, since their decay Times are on the order of 101–102 days.
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surface deformation of long valley caldera and mono basin california investigated with the sbas insar approach
Remote Sensing of Environment, 2007Co-Authors: Pietro Tizzani, F Casu, M Manzo, P Berardino, P Euillades, G P Ricciardi, G Zeni, R LanariAbstract:Abstract We investigate the surface deformation of the eastern California area that includes Long Valley caldera and Mono Basin. We apply the SAR Interferometry (InSAR) algorithm referred to as Small BAseline Subset (SBAS) approach that allows us to generate mean deformation velocity maps and Displacement Time series for the investigated area. The results presented in this work represent an advancement of previous InSAR studies of the area that are mostly focused on the deformation affecting the caldera. In particular, the proposed analysis is based on 21 SAR data acquired by the ERS-1/2 sensors during the 1992–2000 Time interval, and demonstrates the capability of the SBAS procedure to identify and analyze Displacement patterns at different spatial scales for the overall area spanning approximately 5000 km2. Two previously unreported localized deformation effects have been detected at Paoha Island, located within the Mono Lake, and in the McGee Creek area within the Sierra Nevada mountains, a zone to the south of the Long Valley caldera. In addition a spatially extended uplift effect, which strongly affects the caldera, has been identified and analyzed in detail. The InSAR results clearly show that the Displacement phenomena affecting the Long Valley caldera have a maximum in correspondence of the resurgent dome and are characterized by the sequence of three different effects: a 1992–1997 uplift background, a 1997–1998 unrest phenomenon and a 1998–2000 subsidence phase. Moreover, the analysis of the retrieved Displacement Time series allows us to map the extent of the zone with a temporal deformation behavior highly correlated with the detected three-phases deformation pattern: background uplift-unrest-subsidence. We show that the mapped area clearly extends outside the northern part of the caldera slopes; accordingly, we suggest that future inversion models take this new evidence into account. The final discussion is dedicated to a comparison between the retrieved InSAR measurements and a set of GPS and leveling data, confirming the validity of the results achieved through the SBAS-InSAR analysis.
Andrea Manconi - One of the best experts on this subject based on the ideXlab platform.
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four dimensional surface evolution of active rifting from spaceborne sar data
Geosphere, 2016Co-Authors: F Casu, Andrea ManconiAbstract:We present a case study for detecting the four-dimensional (4-D) Displacement of rift zones affected by large-magnitude deformation, by using spaceborne synthetic aperture radar (SAR) data. Our method relies on the combination of Displacement Time series generated from pixel offset estimates on the amplitude information of multitemporal SAR images acquired from different orbit passes and with different looking geometries. We successfully applied the technique on advanced SAR (ASAR) Envisat data acquired from ascending and descending orbits over the Afar rift zone (Ethiopia) during the 2006–2010 Time span. Our results demonstrate the effectiveness of the proposed technique to retrieve the full 4-D (i.e., north, east, up, and Time) Displacement field associated with active rifting affected by very large-magnitude deformation.
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joint analysis of Displacement Time series retrieved from sar phase and amplitude impact on the estimation of volcanic source parameters
Geophysical Research Letters, 2012Co-Authors: Andrea Manconi, F CasuAbstract:[1] We study the impact of jointly analyzing the phase and amplitude information of a SAR dataset on the interpretation of the surface Displacement over Time in areas characterized by large dynamics. In particular, we compute the ground Displacement Time series over Fernandina and Sierra Negra calderas (Galapagos islands), by applying the Small BAseline Subset (SBAS) and the Pixel Offset (PO)-SBAS techniques to 25 ENVISAT SAR images acquired between 2003 and 2007, when both volcanoes experienced catastrophic eruptions. By merging the SBAS and PO-SBAS Time series results the spatial density of measurements increased substantially. In addition, the joint analysis of the Time series allows us to better constrain the temporal evolution of the magmatic source volume changes. Our results show that the joint use of the SBAS and PO-SBAS approaches may help for a more correct evaluation of large deformation affecting the Earth's surface caused by eruptions, earthquakes, and landslide phenomena.
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deformation Time series generation in areas characterized by large Displacement dynamics the sar amplitude pixel offset sbas technique
IEEE Transactions on Geoscience and Remote Sensing, 2011Co-Authors: F Casu, Andrea Manconi, Antonio Pepe, R LanariAbstract:We exploit the amplitude information of a sequence of synthetic aperture radar (SAR) images, acquired at different Times, in order to generate Displacement Time-series in areas characterized by large and/or rapid deformation, the size of which is on the order of the image's pixel dimensions. We follow the same rationale of the Small BAseline Subset (SBAS) differential SAR interferometry (DInSAR) approach, by coupling the available SAR images into pairs characterized by a small separation between the acquisition orbits. We exploit the amplitudes of the selected image pairs in order to calculate the relative across-track (range) and along-track (azimuth) pixel-offsets (PO). Finally, we apply the SBAS inversion strategy to retrieve the range and azimuth Displacement Time-series. This approach, referred to as pixel-offset (PO-) SBAS technique, has been applied to a set of 25 ENVISAT SAR observations of the Sierra Negra caldera, Galapagos Islands, spanning the 2003-2007 Time interval. The retrieved deformation Time-series show the capability of the technique to detect and measure the large Displacements affecting the inner part of the caldera that, in correspondence to the October 2005 eruption, reached several meters. Moreover, by comparing the PO-SBAS results to continuous GPS measurements, we estimate that the accuracy of the PO-SBAS Time-series is on the order of 1/30th of a pixel for both range and azimuth directions.
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surface Displacements associated with the l aquila 2009 mw 6 3 earthquake central italy new evidence from sbas dinsar Time series analysis
Geophysical Research Letters, 2010Co-Authors: R Lanari, Andrea Manconi, F Casu, Antonio Pepe, Michele Manunta, Manuela Bonano, M Manzo, P Berardino, Susi Pepe, E SansostiAbstract:[1] We investigate the surface Displacements in the area affected by the April 2009 L'Aquila earthquake (Central Italy) through an advanced DInSAR analysis. In particular, we apply the SBAS approach to retrieve deformation maps and Displacement Time series from ENVISAT data acquired between February 2003 and October 2009 and from COSMO-SkyMed data relevant to the six-month interval following the earthquake. Our analysis shows no evidence of pre-seismic surface deformation at the 35-day temporal sampling of the ENVISAT sensor. On the other hand, by benefiting of the high spatial resolution and temporal sampling of the COSMO-SkyMed satellites, we measure post-seismic Displacements at an unprecedented level of detail for a DInSAR analysis. This allows us to identify three main areas continuing to deform after the earthquake. In addition, our modeling shows that post-seismic Displacements are very likely related to the fault afterslip, since their decay Times are on the order of 101–102 days.
R Lanari - One of the best experts on this subject based on the ideXlab platform.
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unsupervised parallel sbas dinsar chain for massive and systematic sentinel 1 data processing
International Geoscience and Remote Sensing Symposium, 2016Co-Authors: Michele Manunta, R Lanari, Manuela Bonano, Sabatino Buonanno, Francesco Casu, C De Luca, Adele Fusco, M Manzo, Chandrakanta Ojha, Antonio PepeAbstract:In this work we present an efficient interferometric processing chain, based on the advanced DInSAR algorithm referred to as Parallel Small BAseline Subset (P-SBAS), for the generation of Sentinel-1A (S1A) Interferometric Wide Swath deformation Time-series, which is able to exploit distributed computing architectures. The presented S1A P-SBAS processing chain has been successfully implemented within the ESA Geohazard Exploitation Platform to provide an on-demand automatic service for the unsupervised generation of P-SBAS Displacement Time-series. To give an idea of the effectiveness of the presented S1A processing chain, as a preliminary result we show a 12-days interferometric analysis at continental scale, carried out by exploiting 150 S1A interferometric pairs acquired over Europe for an overall covered area of about 7,500,000 km2.
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deformation Time series generation in areas characterized by large Displacement dynamics the sar amplitude pixel offset sbas technique
IEEE Transactions on Geoscience and Remote Sensing, 2011Co-Authors: F Casu, Andrea Manconi, Antonio Pepe, R LanariAbstract:We exploit the amplitude information of a sequence of synthetic aperture radar (SAR) images, acquired at different Times, in order to generate Displacement Time-series in areas characterized by large and/or rapid deformation, the size of which is on the order of the image's pixel dimensions. We follow the same rationale of the Small BAseline Subset (SBAS) differential SAR interferometry (DInSAR) approach, by coupling the available SAR images into pairs characterized by a small separation between the acquisition orbits. We exploit the amplitudes of the selected image pairs in order to calculate the relative across-track (range) and along-track (azimuth) pixel-offsets (PO). Finally, we apply the SBAS inversion strategy to retrieve the range and azimuth Displacement Time-series. This approach, referred to as pixel-offset (PO-) SBAS technique, has been applied to a set of 25 ENVISAT SAR observations of the Sierra Negra caldera, Galapagos Islands, spanning the 2003-2007 Time interval. The retrieved deformation Time-series show the capability of the technique to detect and measure the large Displacements affecting the inner part of the caldera that, in correspondence to the October 2005 eruption, reached several meters. Moreover, by comparing the PO-SBAS results to continuous GPS measurements, we estimate that the accuracy of the PO-SBAS Time-series is on the order of 1/30th of a pixel for both range and azimuth directions.
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surface Displacements associated with the l aquila 2009 mw 6 3 earthquake central italy new evidence from sbas dinsar Time series analysis
Geophysical Research Letters, 2010Co-Authors: R Lanari, Andrea Manconi, F Casu, Antonio Pepe, Michele Manunta, Manuela Bonano, M Manzo, P Berardino, Susi Pepe, E SansostiAbstract:[1] We investigate the surface Displacements in the area affected by the April 2009 L'Aquila earthquake (Central Italy) through an advanced DInSAR analysis. In particular, we apply the SBAS approach to retrieve deformation maps and Displacement Time series from ENVISAT data acquired between February 2003 and October 2009 and from COSMO-SkyMed data relevant to the six-month interval following the earthquake. Our analysis shows no evidence of pre-seismic surface deformation at the 35-day temporal sampling of the ENVISAT sensor. On the other hand, by benefiting of the high spatial resolution and temporal sampling of the COSMO-SkyMed satellites, we measure post-seismic Displacements at an unprecedented level of detail for a DInSAR analysis. This allows us to identify three main areas continuing to deform after the earthquake. In addition, our modeling shows that post-seismic Displacements are very likely related to the fault afterslip, since their decay Times are on the order of 101–102 days.
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surface deformation of long valley caldera and mono basin california investigated with the sbas insar approach
Remote Sensing of Environment, 2007Co-Authors: Pietro Tizzani, F Casu, M Manzo, P Berardino, P Euillades, G P Ricciardi, G Zeni, R LanariAbstract:Abstract We investigate the surface deformation of the eastern California area that includes Long Valley caldera and Mono Basin. We apply the SAR Interferometry (InSAR) algorithm referred to as Small BAseline Subset (SBAS) approach that allows us to generate mean deformation velocity maps and Displacement Time series for the investigated area. The results presented in this work represent an advancement of previous InSAR studies of the area that are mostly focused on the deformation affecting the caldera. In particular, the proposed analysis is based on 21 SAR data acquired by the ERS-1/2 sensors during the 1992–2000 Time interval, and demonstrates the capability of the SBAS procedure to identify and analyze Displacement patterns at different spatial scales for the overall area spanning approximately 5000 km2. Two previously unreported localized deformation effects have been detected at Paoha Island, located within the Mono Lake, and in the McGee Creek area within the Sierra Nevada mountains, a zone to the south of the Long Valley caldera. In addition a spatially extended uplift effect, which strongly affects the caldera, has been identified and analyzed in detail. The InSAR results clearly show that the Displacement phenomena affecting the Long Valley caldera have a maximum in correspondence of the resurgent dome and are characterized by the sequence of three different effects: a 1992–1997 uplift background, a 1997–1998 unrest phenomenon and a 1998–2000 subsidence phase. Moreover, the analysis of the retrieved Displacement Time series allows us to map the extent of the zone with a temporal deformation behavior highly correlated with the detected three-phases deformation pattern: background uplift-unrest-subsidence. We show that the mapped area clearly extends outside the northern part of the caldera slopes; accordingly, we suggest that future inversion models take this new evidence into account. The final discussion is dedicated to a comparison between the retrieved InSAR measurements and a set of GPS and leveling data, confirming the validity of the results achieved through the SBAS-InSAR analysis.
Roland Burgmann - One of the best experts on this subject based on the ideXlab platform.
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insar Time series analysis of l band wide swath sar data acquired by alos 2
IEEE Transactions on Geoscience and Remote Sensing, 2018Co-Authors: Cunren Liang, Zhen Liu, Eric J Fielding, Roland BurgmannAbstract:Operating at L-band (~24 cm wavelength) in wide-swath modes is one of the characteristics of the new and next generation satellite synthetic aperture radar (SAR) missions. After 3 years of operation, the Japan Aerospace Exploration Agency Advanced Land Observing Satellite-2 (ALOS-2) satellite has acquired a wealth of L-band wide-swath SAR data over many areas using its ScanSAR mode. We present interferometry SAR (InSAR) Time series analysis results from ALOS-2 ScanSAR data. We analyze the possible error sources in the InSAR and correct them if possible. We present different Time series analysis results including azimuth frequency modulation rate error, line of sight (LOS) ionospheric phase, azimuth shift caused by the ionosphere, and LOS Displacement processed using both full-aperture and burst-by -burst workflows. The final InSAR LOS Displacement Time series result reveals both large-scale tectonic and small-scale anthropogenic deformation components. The results demonstrate the potential for measuring continental or even global-scale tectonic deformation and illustrate the promise of upcoming L-band wide-swath SAR missions, such as the NASA-ISRO SAR mission.
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steady state laboratory flow laws alone fail to explain postseismic observations
Earth and Planetary Science Letters, 2010Co-Authors: Andrew M Freed, T A Herring, Roland BurgmannAbstract:Abstract We test whether laboratory derived steady-state flow laws for wet olivine can be used to explain postseismic relaxation in the upper mantle following the 1999 Hector Mine earthquake. This is accomplished using rate changes in GPS observed Displacement Time-series at far-field stations as constraints on the parameters associated with laboratory derived temperature- and stress-dependent flow laws for diffusion and dislocation creep of olivine. We primarily concentrate on the influences of temperature, grain size, and background strain rate to explain observed fast early Displacement rates that slow rapidly in the 7 years of postseismic observations. We find that a reasonable fit to the observed Time-series cannot be achieved by any combination of flow law parameters and plausible assumptions for the tectonic environment of the mantle beneath the Mojave Desert. We conclude that postseismic relaxation within the mantle following the Hector Mine earthquake likely includes an initial transient weakening phase, suggesting that steady-state flow laws by themselves are insufficient to characterize the flow of mantle rocks when stress conditions evolve.
Antonio Pepe - One of the best experts on this subject based on the ideXlab platform.
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long term flood hazard modeling for coastal areas using insar measurements and a hydrodynamic model the case study of lingang new city shanghai
Journal of Hydrology, 2019Co-Authors: Jie Yin, Qing Zhao, Ning Lin, Julia Kubanek, Min Liu, Antonio PepeAbstract:Abstract In this paper, we study long-term coastal flood risk of Lingang New City, Shanghai, considering 100- and 1000-year coastal flood return periods, local seal-level rise projections, and long-term ground subsidence projections. TanDEM-X satellite data acquired in 2012 were used to generate a high-resolution topography map, and multi-sensor InSAR Displacement Time-series were used to obtain ground deformation rates between 2007 and 2017. Both data sets were then used to project ground deformation rates for the 2030s and 2050s. A 2-D flood inundation model (FloodMap-Inertial) was employed to predict coastal flood inundation for both scenarios. The results suggest that the sea-level rise, along with land subsidence, could result in minor but non-linear impacts on coastal inundation over Time. The flood risk will primarily be determined by future exposure and vulnerability of population and property in the floodplain. Although the flood risk estimates show some uncertainties, particularly for long-term predictions, the methodology presented here could be applied to other coastal areas where sea level rise and land subsidence are evolving in the context of climate change and urbanization.
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the use of c x band Time gapped sar data and geotechnical models for the study of shanghai s ocean reclaimed lands through the sbas dinsar technique
Remote Sensing, 2016Co-Authors: Antonio Pepe, Qing Zhao, M Bonano, Tianliang Yang, Hanmei WangAbstract:In this work, we investigate the temporal evolution of ground deformation affecting the ocean-reclaimed lands of the Shanghai (China) megacity, from 2007 to 2016, by applying the Differential Synthetic Aperture Radar Interferometry (DInSAR) technique known as the Small BAseline Subset (SBAS) algorithm. For the analysis, we exploited two sets of non-Time-overlapped synthetic aperture radar (SAR) data, acquired from 2007 to 2010, by the ASAR/ENVISAT (C-band) instrument, and from 2014 to 2016 by the X-band COSMO-SkyMed (CSK) sensors. The long Time gap (of about three years) existing between the available C- and X-band datasets made the generation of unique Displacement Time-series more difficult. Nonetheless, this problem was successfully solved by benefiting from knowledge of Time-dependent geotechnical models, which describe the temporal evolution of the expected deformation affecting Shanghai’s ocean-reclaimed platforms. The combined ENVISAT/CSK (vertical) deformation Time-series were analyzed to gain insight into the future evolution of Displacement signals within the investigated area. As an outcome, we find that ocean-reclaimed lands in Shanghai experienced, between 2007 and 2016, average cumulative (vertical) Displacements extending down to 25 cenTimeters.
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unsupervised parallel sbas dinsar chain for massive and systematic sentinel 1 data processing
International Geoscience and Remote Sensing Symposium, 2016Co-Authors: Michele Manunta, R Lanari, Manuela Bonano, Sabatino Buonanno, Francesco Casu, C De Luca, Adele Fusco, M Manzo, Chandrakanta Ojha, Antonio PepeAbstract:In this work we present an efficient interferometric processing chain, based on the advanced DInSAR algorithm referred to as Parallel Small BAseline Subset (P-SBAS), for the generation of Sentinel-1A (S1A) Interferometric Wide Swath deformation Time-series, which is able to exploit distributed computing architectures. The presented S1A P-SBAS processing chain has been successfully implemented within the ESA Geohazard Exploitation Platform to provide an on-demand automatic service for the unsupervised generation of P-SBAS Displacement Time-series. To give an idea of the effectiveness of the presented S1A processing chain, as a preliminary result we show a 12-days interferometric analysis at continental scale, carried out by exploiting 150 S1A interferometric pairs acquired over Europe for an overall covered area of about 7,500,000 km2.
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deformation Time series generation in areas characterized by large Displacement dynamics the sar amplitude pixel offset sbas technique
IEEE Transactions on Geoscience and Remote Sensing, 2011Co-Authors: F Casu, Andrea Manconi, Antonio Pepe, R LanariAbstract:We exploit the amplitude information of a sequence of synthetic aperture radar (SAR) images, acquired at different Times, in order to generate Displacement Time-series in areas characterized by large and/or rapid deformation, the size of which is on the order of the image's pixel dimensions. We follow the same rationale of the Small BAseline Subset (SBAS) differential SAR interferometry (DInSAR) approach, by coupling the available SAR images into pairs characterized by a small separation between the acquisition orbits. We exploit the amplitudes of the selected image pairs in order to calculate the relative across-track (range) and along-track (azimuth) pixel-offsets (PO). Finally, we apply the SBAS inversion strategy to retrieve the range and azimuth Displacement Time-series. This approach, referred to as pixel-offset (PO-) SBAS technique, has been applied to a set of 25 ENVISAT SAR observations of the Sierra Negra caldera, Galapagos Islands, spanning the 2003-2007 Time interval. The retrieved deformation Time-series show the capability of the technique to detect and measure the large Displacements affecting the inner part of the caldera that, in correspondence to the October 2005 eruption, reached several meters. Moreover, by comparing the PO-SBAS results to continuous GPS measurements, we estimate that the accuracy of the PO-SBAS Time-series is on the order of 1/30th of a pixel for both range and azimuth directions.
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surface Displacements associated with the l aquila 2009 mw 6 3 earthquake central italy new evidence from sbas dinsar Time series analysis
Geophysical Research Letters, 2010Co-Authors: R Lanari, Andrea Manconi, F Casu, Antonio Pepe, Michele Manunta, Manuela Bonano, M Manzo, P Berardino, Susi Pepe, E SansostiAbstract:[1] We investigate the surface Displacements in the area affected by the April 2009 L'Aquila earthquake (Central Italy) through an advanced DInSAR analysis. In particular, we apply the SBAS approach to retrieve deformation maps and Displacement Time series from ENVISAT data acquired between February 2003 and October 2009 and from COSMO-SkyMed data relevant to the six-month interval following the earthquake. Our analysis shows no evidence of pre-seismic surface deformation at the 35-day temporal sampling of the ENVISAT sensor. On the other hand, by benefiting of the high spatial resolution and temporal sampling of the COSMO-SkyMed satellites, we measure post-seismic Displacements at an unprecedented level of detail for a DInSAR analysis. This allows us to identify three main areas continuing to deform after the earthquake. In addition, our modeling shows that post-seismic Displacements are very likely related to the fault afterslip, since their decay Times are on the order of 101–102 days.