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Time-series InSAR with DESDynI:Lessons from ALOS PALSAR,[object Object],Piyush Agrama, Mark Simonsa,[object Object],and Howard Zebkerb,[object Object],aSeismological Laboratory, California Institute of Technology,[object Object],bDepts of EE and Geophysics, Stanford University,[object Object]
Motivation,[object Object],InSAR time-series techniques crucial for many of  DESDynI’s stated objectives - Geohazards, Hydrology and subsurface reservoirs,[object Object],Why ALOS PALSAR?,[object Object],L-band mission similar to DESDynI.,[object Object],Lifetime similar to DESDynI.,[object Object],ALOS PALSAR products – a good proxy for DESDynI products.,[object Object]
Overview,[object Object],Noise levels at L-band vs C-band.,[object Object],Topography related artifacts,[object Object],PS-InSAR at L-band,[object Object],Novel time-series techniques: MInTS.,[object Object]
Comparison of Noise Levels,[object Object],Typical resolution of interest – 100m x 100m.,[object Object],Analysis of filtered interferograms with shortest time span.,[object Object],ERS vs ALOS PALSAR.,[object Object],Experiments conducted over the San Francisco Bay Area.,[object Object]
L-band 46 day correlation similar to C-band at 1 day,[object Object],ERS Looks = 80. ALOS Looks = 336.,[object Object],Factor of 2 gain.,[object Object],Factor of 2 observed in InSAR data.,[object Object],L-band Decorrelation at 45 days ~ C-band decorrelation at 1 day,[object Object],Areal coverage similar.,[object Object],ALOS coherence threshold = 0.7 .,[object Object],ERS coherence threshold = 0.7.,[object Object]
L-band 46 day correlation 2x C-band at 35 days,[object Object],[object Object], ALOS Looks = 336.,[object Object],[object Object]
Factor of 2 gain in phase noise due to coherence threshold.
Temporal decorrelation at L-band is significantly lower.Areal coverage similar.,[object Object],ALOS coherence threshold = 0.7 .,[object Object],ERS coherence threshold = 0.4.,[object Object]
L-band vs C-band,[object Object],Temporal correlation,[object Object],Phase noise  (mm),[object Object],C-band,[object Object],     L-band,[object Object],        L-band,[object Object],C-band,[object Object],[object Object]
 Other noise sources  - atmosphere etc. are assumed to be on the same order at both C and L bands,[object Object]
ALOS and topo-related errors,[object Object],Parkfield, CA,[object Object],Due to orbit drift, correlation between Bperp and temporal baseline is 0.7.,[object Object],DEM error cannot be distinguished easily from deformation features (SBAS).,[object Object]
PS-InSAR at L-band with ALOS,[object Object],Not as straight-forward as at C-band due to sensor management.,[object Object],ALOS PALSAR – Need to combine different imaging modes.,[object Object],Different noise characteristics of FBD and FBS modes. ,[object Object],Need appropriate weighting of the modes when selecting PS.,[object Object],Does work: example over Long Valley Caldera, CA.,[object Object]
Long Valley Caldera,[object Object],PS pixel mask for ALOS PALSAR,[object Object],C-band image from Hooper et al (2004),[object Object],23 ALOS PALSAR images with baselines < 4 Km.,[object Object],PS density is similar to C-band.,[object Object],Fine tuning needed for handling different modes.,[object Object],Velocities heavily contaminated by topo-related errors.,[object Object]
Implications for DESDynI,[object Object],Plan no systematic relationship between temporal and spatial baselines.,[object Object],L-band allows us to implement simple SBAS/ linear inversion approach more reliably due to better coverage.,[object Object],Other topo-related errors - like tropospheric delay - at same level as ALOS PALSAR.,[object Object],Traditional time-series approaches like SBAS and PS-InSAR should work better for DESDynI than ALOS.,[object Object]
Novel time-series techniques will improve over current methods,[object Object],In many situations, deformation estimates at 500m x 500m suffices to model geophysical phenomenon.,[object Object],Can exploit the spatially correlated nature of deformation at these spatial scales.,[object Object],Can decompose the data into independent components at various spatial scales- e.g, wavelets.,[object Object],Multiscale InSAR time-series (MInTS) developed by Hetland and Simons.,[object Object]
Multiscale InSAR Time Series (MInTS),[object Object],Create Interferograms ,[object Object],Unwrapped phase,[object Object],Coherence,[object Object],Time-series products,[object Object],Reconstruct data using inverted coefficients ,[object Object],Create data mask for each IFG and interpolate holes,[object Object],Compute wavelet coefficients and Weights for each IFG,[object Object],Invert wavelet coefficients using temporal model (similar to GPS)  ,[object Object]

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IGARSS_DesDyni_ALOS_dft2.pptx

  • 1.
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  • 7. Factor of 2 gain in phase noise due to coherence threshold.
  • 8.
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  • 16.
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  • 18. Same stack of 84 IFGs used for SBAS and MInTS.
  • 19.
  • 20. Better orbital control and plan significantly decreases uncertainties in deformation estimates due to topo-related errors.
  • 21. Uncertainty in deformation time-series will match current C-band products but yield much greater spatial coverage.
  • 22. Novel time-series techniques like MInTS can significantly improve deformation estimates over regions where traditional techniques like SBAS and PS fail.