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by Scott Hensley, Thierry Michel, Shadi Oveisgharan, Bruce Chapman, Jakob Van Zyl, Ron Muellerschoen, Ziad S. Haddad, Tom Jackson and Iliana Mladenova July 26, 2011 IGARSS 2011 Vancouver, Canada EFFECT OF SOIL MOISTURE ON POLARIMETRIC-INTERFEROMETRIC REPEAT PASS OBSERVATIONS BY UAVSAR DURING 2010 CANADIAN SOIL MOISTURE CAMPAIGN Copyright 2011 California Institute of Technology, All Rights Reserved Red=Jet Propulsion Laboratory, California Institute of Technology Green=United States Department of Agriculture
UAVSAR ,[object Object],[object Object],[object Object],[object Object],Parameter Value Frequency L-Band  1217.5 to 1297.5 MHz Bandwidth 80 MHz Resolution 1.67 m Range, 0.8 m Azimuth Polarization Full Quad-Polarization ADC Bits 2,4,6,8,10 & 12 bit selectable BFPQ, 180Mhz Waveform Nominal Chirp/Arbitrary Waveform Antenna Aperture 0.5 m range/1.5 azimuth (electrical) Azimuth Steering Greater than ±20°  (±45° goal) Transmit Power > 3.1 kW Polarization Isolation <-25 dB  (<-30 dB goal) Swath Width > 23 km
California San Joaquin Valley ,[object Object],[object Object]
Large Rodents? ,[object Object],[object Object]
Vegetation Growth ,[object Object],[object Object],[object Object],[object Object]
Canex Experiment Site •  Repeat-pass UAVSAR interferometric data was collected collected for seven days (DOYs: 153, 156, 157, 160, 164, 165, 166) at a heading of 242° that covered many of the in situ measurement sites.
Ground Truth ,[object Object],[object Object],[object Object],[object Object],•  Measured soil moisture for the 59 sites plotted versus DOY. •  Overall variation of the soil moisture measurements is about 15%, however for an individual field the temporal variation was typically much less, around 5-6%.
Polarimetric Imagery
Data Masks
Backscatter/Average Soil Moisture Time Series •  Average soil moisture for all fields contained within the SAR image versus day-of-year and SAR average backscatter in all fields (sans masked points) versus day-of-year. •  In a mean sense backscatter follows soil moisture as expected.
Backscatter Sensitivity •  Average backscatter in fields after masked points removed versus incidence angle. •  Average backscatter in fields after masked points removed versus soil moisture.
Backscatter Trends vs Soil Moisture/Incidence Angle •  Average backscatter in fields for HH, VV and HV as a function of soil moisture grouped by incidence angle. •  Incidence angle variation dominates but observable trends remain after grouping.  N=  i ≤38° M=38°≤  i <50° F=  i ≥50°
Soil Moisture Inversion from Backscatter •  Sample inversions of soil moisture from polarimetric backscatter measurements using the Dubois and Van Zyl algorithms. •  Both algorithms are extracting the mean level correctly, however both have trouble for low soil moisture values. •  Dubois algorithm follows trend somewhat better.
Interferometric Measurements Reference Pass Wettest Day Wettest Day Pre/Post Rain Event Spans Rain Event I jk  = Interferograms Generated Entire Image Pass Number DOY 1 153 2 156 3 157 4 160 5 164 6 165 7 166 ,[object Object],[object Object],[object Object]
HH Correlation Images  t=-12 days I 61  t = -9 days I 62  t = -8 days I 63  t= -5 days I 64  t = -1 days I 65  t = +1 days I 67 Correlation
VV Correlation  t=-12 days I 61  t = -9 days I 62  t = -8 days I 63  t = -5 days I 64  t = -1 days I 65  t = +1 days I 67 Correlation
E5 Site Photos June 1 June 2 June 6 June 9 June 13 Photos Courtesy of Brenda Toth
K5 Site Photos June 2 June 6 June 5 June 13 Photos Courtesy of Brenda Toth
E3 Site Photos June 5 June 6 June 9 June 13 Photos Courtesy of Brenda Toth
J5 Photos June 2 June 5 June 6 June 7 June 14 June 13 Photos Courtesy of Brenda Toth
HH Interferograms  t=-12 days I 61  t = -9 days I 62  t = -8 days I 63  t = -5 days I 64  t = -1 days I 65  t = +1 days I 67
VV Interferograms  t=-12 days I 61  t = -9 days I 62  t = -8 days I 63  t = -5 days I 64  t = -1 days I 65  t = +1 days I 67
HH/VV Differential Interferograms  t=-12 days I 61  t = -9 days I 62  t = -8 days I 63  t = -5 days I 64  t = -1 days I 65  t = +1 days I 67
Complex Dielectric Model versus Soil Moisture •  Large difference in imaginary part of dielectric constants predicted by two models. •  Oh model seems to match phase measurements better and was used in generating comparisons of polarimetric/interferometric Kenaston data to models.
VV Polarimetric Phase vs Soil Moisture/Incidence Angle
VV Polarimetric Phase Model Comparisons •  Comparison of Oh and SPM models of VV polarimetric phase with field measurements after data making for all dates and fields within our repeat-line Kenaston pass.  •  Much better agreement with Oh model and measurements than SPM model.
Oh Model VV Phase vs Measurements  •  Oh model VV polarimetric phase versus and measured VV polarimetric phase plotted versus incidence angle. •  There is good agreement with the trend except at high incidence angles and there is a slight bias of about 5°. •  Predicted spread from soil moisture is much less in predicted phase than in observed phase (about a factor of 2). •  Scatter plot of measured VV polarimetric phase versus Oh model polarimetric phase.  •  Models agree reasonably well expect at high incidence angles (greater than 60°).
Interferometric Correlation Versus   m v •  Average HH and VV correlation over the  in situ  measurement sites versus change in soil moisture. •  Note, the correlation tends to decrease more for larger changes in soil moisture indicating soil moisture is effecting the interferometric measurement.
Interferometric Phase Comparisons •  Differential HH and VV interferometric phase plotted versus Oh model predictions for all the ground truth sites and interferometric combinations.  •  Measured interferometric phase versus model predictions as a function of incidence angle and as a scatter plot. •  Although the order of magnitude is similar actual phase measurements are larger than model predicts.
Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object]

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IGARSS_July2011_CANEX_SH.ppt

  • 1. by Scott Hensley, Thierry Michel, Shadi Oveisgharan, Bruce Chapman, Jakob Van Zyl, Ron Muellerschoen, Ziad S. Haddad, Tom Jackson and Iliana Mladenova July 26, 2011 IGARSS 2011 Vancouver, Canada EFFECT OF SOIL MOISTURE ON POLARIMETRIC-INTERFEROMETRIC REPEAT PASS OBSERVATIONS BY UAVSAR DURING 2010 CANADIAN SOIL MOISTURE CAMPAIGN Copyright 2011 California Institute of Technology, All Rights Reserved Red=Jet Propulsion Laboratory, California Institute of Technology Green=United States Department of Agriculture
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. Canex Experiment Site • Repeat-pass UAVSAR interferometric data was collected collected for seven days (DOYs: 153, 156, 157, 160, 164, 165, 166) at a heading of 242° that covered many of the in situ measurement sites.
  • 7.
  • 10. Backscatter/Average Soil Moisture Time Series • Average soil moisture for all fields contained within the SAR image versus day-of-year and SAR average backscatter in all fields (sans masked points) versus day-of-year. • In a mean sense backscatter follows soil moisture as expected.
  • 11. Backscatter Sensitivity • Average backscatter in fields after masked points removed versus incidence angle. • Average backscatter in fields after masked points removed versus soil moisture.
  • 12. Backscatter Trends vs Soil Moisture/Incidence Angle • Average backscatter in fields for HH, VV and HV as a function of soil moisture grouped by incidence angle. • Incidence angle variation dominates but observable trends remain after grouping. N=  i ≤38° M=38°≤  i <50° F=  i ≥50°
  • 13. Soil Moisture Inversion from Backscatter • Sample inversions of soil moisture from polarimetric backscatter measurements using the Dubois and Van Zyl algorithms. • Both algorithms are extracting the mean level correctly, however both have trouble for low soil moisture values. • Dubois algorithm follows trend somewhat better.
  • 14.
  • 15. HH Correlation Images  t=-12 days I 61  t = -9 days I 62  t = -8 days I 63  t= -5 days I 64  t = -1 days I 65  t = +1 days I 67 Correlation
  • 16. VV Correlation  t=-12 days I 61  t = -9 days I 62  t = -8 days I 63  t = -5 days I 64  t = -1 days I 65  t = +1 days I 67 Correlation
  • 17. E5 Site Photos June 1 June 2 June 6 June 9 June 13 Photos Courtesy of Brenda Toth
  • 18. K5 Site Photos June 2 June 6 June 5 June 13 Photos Courtesy of Brenda Toth
  • 19. E3 Site Photos June 5 June 6 June 9 June 13 Photos Courtesy of Brenda Toth
  • 20. J5 Photos June 2 June 5 June 6 June 7 June 14 June 13 Photos Courtesy of Brenda Toth
  • 21. HH Interferograms  t=-12 days I 61  t = -9 days I 62  t = -8 days I 63  t = -5 days I 64  t = -1 days I 65  t = +1 days I 67
  • 22. VV Interferograms  t=-12 days I 61  t = -9 days I 62  t = -8 days I 63  t = -5 days I 64  t = -1 days I 65  t = +1 days I 67
  • 23. HH/VV Differential Interferograms  t=-12 days I 61  t = -9 days I 62  t = -8 days I 63  t = -5 days I 64  t = -1 days I 65  t = +1 days I 67
  • 24. Complex Dielectric Model versus Soil Moisture • Large difference in imaginary part of dielectric constants predicted by two models. • Oh model seems to match phase measurements better and was used in generating comparisons of polarimetric/interferometric Kenaston data to models.
  • 25. VV Polarimetric Phase vs Soil Moisture/Incidence Angle
  • 26. VV Polarimetric Phase Model Comparisons • Comparison of Oh and SPM models of VV polarimetric phase with field measurements after data making for all dates and fields within our repeat-line Kenaston pass. • Much better agreement with Oh model and measurements than SPM model.
  • 27. Oh Model VV Phase vs Measurements • Oh model VV polarimetric phase versus and measured VV polarimetric phase plotted versus incidence angle. • There is good agreement with the trend except at high incidence angles and there is a slight bias of about 5°. • Predicted spread from soil moisture is much less in predicted phase than in observed phase (about a factor of 2). • Scatter plot of measured VV polarimetric phase versus Oh model polarimetric phase. • Models agree reasonably well expect at high incidence angles (greater than 60°).
  • 28. Interferometric Correlation Versus  m v • Average HH and VV correlation over the in situ measurement sites versus change in soil moisture. • Note, the correlation tends to decrease more for larger changes in soil moisture indicating soil moisture is effecting the interferometric measurement.
  • 29. Interferometric Phase Comparisons • Differential HH and VV interferometric phase plotted versus Oh model predictions for all the ground truth sites and interferometric combinations. • Measured interferometric phase versus model predictions as a function of incidence angle and as a scatter plot. • Although the order of magnitude is similar actual phase measurements are larger than model predicts.
  • 30.