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    Solaro_IGARSS_2011.ppt Solaro_IGARSS_2011.ppt Presentation Transcript

    • SBAS-DInSAR time series in the last eighteen years at Mt. Etna volcano (Italy)
      • G. SOLARO 1 , F. CASU 1 , L. PAGLIA 1 , A. PEPE 1 , S. PEPE 1 , E. SANSOSTI 1 , P. TIZZANI 1 , R. LANARI 1
      • 1. IREA – CNR, Naples (Italy)
    • Summary We investigate deformation phenomena affecting Mt. Etna by exploiting the Small BAseline Subset (SBAS) technique that permits to produce mean deformation maps and time series relevant to large areas obtained by using relatively low resolution DInSAR interferograms . We present first preliminary COSMO-SkyMed results (2009-2010 time interval) in term of spatial and temporal deformation . W e benefit from the availability of ERS-ENVISAT multi-orbit (ascending and descending) data in order to discriminate the vertical and East-West components of the volcano edifice displacements and generate the relevant time series.
    • SBAS-DInSAR algorithm: key aspects To produce deformation times-series from a SAR dataset, the SBAS approach:
      • properly “links” the interferometric SAR data subset (if present) separated by large baselines (the SVD method is applied).
      • exploits interferograms characterized by a “small baseline” in order to mitigate decorrelation phenomena;
      • “ merging” SAR data acquired by different sensors with the same illumination geometry, as for the case of ERS-1/2 and ENVISAT IS2 .
      • Achieved accuracies:
      • ≈ 1 - 2 mm/year on the mean deformation velocity
      • ≈ 5 - 10 mm on the single displacement
      ERS ERS ERS ERS ERS ENVISAT ENVISAT
    • Two scale SBAS approach Multi-look Interferogram Low resolution detects the ground deformation ,particularly those related to volcanoes Low Spatial resolution processing Resolution 100x100m Single-look Interferogram Resolution 5x20m Full resolution is useful to detect and follow the deformation of localized structures Full Spatial resolution processing
    • Multi-sensor SBAS analysis
      • The SBAS approach :
      • allows us to exploit SAR data acquired by different sensors with the same illumination geometry, as for the case of ERS-1/2 and ENVISAT IS2;
      • avoids the use of cross-sensor interferograms ;
      • combines the ERS-ERS and ENVISAT-ENVISAT interferograms by applying the basic rationale of the technique .
      Subset 2 (ENVISAT) Time Perpendicular Baseline Subset 1 (ERS)
    • 1992-2000 Vertical/East-West ERS mean velocities for Etna Vertical East-West [mm/yr] > 15 <-15 Down Up [mm/yr] > 20 <-20 West East Lundgren et al. 2004, GRL
    • 3 radial Rift zones STRUCTURE OF ETNA Pernicana + Ragalna: boundaries of collapsing sector
    • ERS - ENVISAT data set
      • Sensors: ERS - ENVISAT
      • 120 descending orbit
      • 88 ERS, 37 ENV
      • 347 Interferograms
      • 139 ascending orbit
      • 94 ERS, 53 ENV
      • 372 Interferograms
      • Time span:
      • 1994-2008
    • 1992- 2006 Vertical/East-West ERS - ENVISAT mean velocities for Etna Vertical East-West Neri et al. 2009, GRL [mm/yr] > 15 <-15 Down Up [mm/yr] > 20 <-20 West East
    • We use two different strategies analysis Cumulative displacements and deformation time series analysis 2000-2003 time interval = non-linear deformation 1994-2000 and 2003-2008 time interval = linear trend of deformation deformation velocity analysis Our goal is to provide an interplay between surface volcano deformation and volcanic activity
    • Etna SAR Velocity maps We analysed the 1994-2000 and 2003-2008 time interval because of their linear behaviour of deformation trend
    • Eastern flank velocity profiles analysis There is a general correspondence between the discontinuities in velocity and active faults confirming that the known faults are active during 1994-2008
    • Eastern flank histograms velocity analysis Sectors 2,6,7 and 8 show narrower histograms with a clear peak indicating a homogeneous ew velocity and a rigid behaviour of that block
    • Weastern flank velocity profiles analysis This flank conists of three main blocks
    • Weastern flank histograms velocity analysis Sectors 9 and 10 are in part kinematically distinct both moving toward west
    • Deformation between 2000-2003 (1)
    • Deformation between 2000-2003 (2)
    • The peripheral uplifted areas from 1994 to 2008 Points moving synchronously (similar time series) with the uplifting area at the southern basal anticline (point 1)
    •  
    • Three main processes affecting the observed volcano deformation Solaro et al. (2010) Journal of Geophysical Research vol. 115, B10405, 2010.
    • COSMO-SkyMed results Mean deformation velocity map Orbit:descending Band X (  = 3.1 cm) Resolution: 25x25m Time interval: July 2009 – December 2010 Mean velocity [cm/yr] > 5 <-5 COSMO-SkyMed: 8 days ENVISAT: 35 days
    • COSMO-SkyMed results Mean deformation velocity map Orbit:descending Band X (  = 3.1 cm) Resolution: 25x25m Time interval: July 2009 – December 2010 Mean velocity [cm/yr] > 5 <-5 Pernicana Fault
    • Direzione di vista Direzione di volo Atmospheric noise 30/03/2010 - 07/04/2010; spatial baseline : 133 m M=3.6 eqk occurred on April 3rd 2010
    • COSMO-SkyMed – ENVISAT comparison Mean velocity [cm/yr] > 5 <-5
    • COSMO-SkyMed – ENVISAT comparison Mean velocity [cm/yr] > 1.5 <-1.5
    • COSMO-SkyMed – ENVISAT comparison COSMO-SkyMed ENVISAT Revisiting time: 8 days Period: July 2009 – December 2010 Band X (  = 3.1 cm) Resolution: 25 x 25 meters Revisiting time : 35 days Period: 1992 – 2010 Band C (  = 5.6 cm) Resolution: 90 x 90 meters
    • Confronto COSMO-SkyMed - ENVISAT: Etna Revisiting time: 35 days Period: 1992 – 2010 Band C (  = 5.6 cm) Resolution: 90 x 90 meters COSMO-SkyMed ENVISAT Revisiting time: 8 days Period: July 2009 – December 2010 Band X (  = 3.1 cm) Resolution: 25 x 25 metri
    • COSMO-SkyMed – ENVISAT comparison COSMO-SkyMed ENVISAT M=3.6 eqk occurred on April 3rd 2010
    • CSK notes It is clearly visible how the 8 (and 4)-days COSMO-SkyMed repeat pass permits to better detect and model the ongoing deformation with respect to the 35-days ENVISAT data. Indeed, for instance, we can appreciate the jump due to the M=3.6 April 3 rd , 2010 earthquake It is evident the increased spatial density of the COSMO-SkyMed measurements with respect to the ENVISAT ones Using of X-band data sensor for volcano monitoring and Civil Protection purposes
    • THANKS!!