using insar to study aquifer properties in the los angeles basin
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Using InSAR to study aquifer properties in the Los Angeles Basin. Piyush Agram Mark Simons. Synthetic Aperture Radar (SAR). Satellite or airplane based active imaging system. Typical satellite system. 100 km x 100 km at a resolution of 25m. O rbit repeat time of 1 month.

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Presentation Transcript
synthetic aperture radar sar
Synthetic Aperture Radar (SAR)
  • Satellite or airplane based active imaging system.
  • Typical satellite system.
    • 100 km x 100 km at a resolution of 25m.
    • Orbit repeat time of 1 month.
  • Can image through clouds and without sunlight.
sar image characteristics
SAR Image characteristics
  • SAR Image
  • Monochromatic
  • Amplitude and phase information
  • Optical Image
  • Multi-chromatic
  • Amplitude information only
interferometric sar
Interferometric SAR

Phase change can be related to deformation

large deformation events
Large deformation events

Fialko et al. (2001), Hector Mine EQ

  • Deformation typically much larger than noise sources
  • Atmospheric contributions - few mm to few cm
  • Orbital errors introduce long wavelength features
for sensitive measurements
For sensitive measurements
  • Time-series InSAR
    • Combine multiple observations
    • Atmospheric signal is uncorrelated over time
    • Orbital errors are random in time

IFG

span

T0

T1

T2

T3

Tn

data set over los angeles
Data set over Los Angeles
  • 18 years of SAR data
  • European Remote-Sensing Satellite (ERS)
    • 105 SAR images combined into 523 interferograms
    • Aug 1992 to Mar 2007
  • Environmental satellite (Envisat)
    • 60 SAR images combined into 358 interferograms
    • Sep 2003 to Sep 2010
  • Almost monthly observations
average los velocity
Average LOS velocity

Pomona, CA

Ground water pumping

Santa Fe Springs, CA

Oil wells

San Jacinto Fault, Tectonic signal

decoupling the seasonal signal
Decoupling the seasonal signal

Long term deformation

Observed deformation time-series

Seasonal signal

  • 18 years of data allows us to decouple the seasonal signal
  • Monthly data increases the reliability of our seasonal estimates
  • We estimate the average seasonal cycle over 18 years
seasonal amplitude
Seasonal Amplitude

Watson et al., (2002)

InSAR time-series

SOPAC GPS

seasonal phase
Seasonal phase

Reference

Sharp phase boundaries

  • Barriers are clearly identified.
  • Lines up with known faults.
phase delay in detail
Phase delay in detail

Phase in days and * marks maximum seasonal amplitude location

  • Time lag in days with greater detail
  • Within aquifer, phase can vary by as much as 15-20 days
relating to hydraulic head
Relating to hydraulic head
  • Use equations from Jess’ thesis
  • Derive seasonal amplitude bounds she did in her thesis?
  • How can we better use the time-delay/ phase information?
  • What other properties would audience be interested in ?
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