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Closed loop brightness temperature data inversion for the retrieval of soil hydraulic properties Marin Dimitrov, Jan Vanderborght, K. Z. Jadoon, Lutz Weihermüller, Mike Schwank and Harry Vereecken  2011 International Geoscience and Remote Sensing Symposium (IGARSS) Vancouver, Canada Soil Moisture Remote Sensing Session
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Radiometer JülBaRa with holding construction in the air. Photo from July 2010
Motivation ,[object Object],[object Object],[object Object]
Measurement campaign Goals ,[object Object],[object Object],[object Object],[object Object],5TE and SDI Sensors  Radiometer JülBaRa
Measurement campaign Measurement setup 1 2 1 2 Measurements plots Ploughed plot  Seedbed plot  Reference plot
Measurement campaign Measurement equipment Used measurement equipment. Pictures from test field Selhausen.
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],L Band Radiometer JülBaRa Holding construction and rotation possibilities of JülBaRa JülBaRa is in permanent use since September 2009
Results Soil moisture Meteorological data and measured soil moisture in 2, 5, 10 and 30 cm depth between 27.09.2009 and 27.10.2009
Results Brightness temperature Measured brightness temperature (horizontal and vertical polarization) at 45° with L-Band Radiometer JülBaRa between 27.09.2009 and 27.10.2009
Results Soil temperature Measured soil surface temperature from 02.10 to 07.10.2009 Photo from 2 October 2009 (12 P.M.) Plot 3 Plot 2 16.6 °C 16.3 °C 15.4 °C Mean skin temperature for the plots
Results Modeling procedure Flow chart diagram of the inverse modeling procedure Inversion for the soil hydraulic parameters, fitting of the brightness temperature  Soil hydraulic parameters: θr, θs, α, n,  Ks   Hydrological simulator Hydrus 1D Meteorological data: Rain and ETo (from Tair, Solar, Wind and Humidity) Simulated moisture  profile Simulated permitivity ( ε )  profile Dielectric mixing model ε Simulated Reflectivity Tb sim. Inversion Objective function:   Φ = Σ (T b sim. -T b meas. )^ 2 RTM Roughness correction   CRTM or Fresnel Tb meas. θ  sim. Global optimization with SCE Effective soil temperature   θ  meas
Results Modeling procedure Unknown hydraulic parameters:  θ r,  θ s, Ks, n and  α Parameter development after 1500 iterations, using Fresnel Θ r [cm^3/cm^3] Θ s [cm^3/cm^3] α  [cm^-1] n [-] Ks [cm/min] MVG θ r cm 3 /cm 3 θ s cm 3 /cm 3 α  1/cm n - K s cm/day l - Laboratory 0.0 0.353 0.004 1.32 0.064 0.5 Inverted 0.03 0.42 0.001 1.60 0.030 0.5
Results Modeling procedure Modeled and measured brightness temperature, modeled and measured soil moisture R^2 = 0.75 One to one line of the brightness temperature
Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Acknowledgments ,[object Object],[object Object],[object Object],[object Object],[object Object],The Research Unit MUSIS gratefully acknowledge the financial support from the Deutsche Forschugsgemeinschaft.
Thank you for your attention! Radiometer field of view from above, July 2010

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Dimitrov_IGARSS.ppt

  • 1. Closed loop brightness temperature data inversion for the retrieval of soil hydraulic properties Marin Dimitrov, Jan Vanderborght, K. Z. Jadoon, Lutz Weihermüller, Mike Schwank and Harry Vereecken 2011 International Geoscience and Remote Sensing Symposium (IGARSS) Vancouver, Canada Soil Moisture Remote Sensing Session
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  • 5. Measurement campaign Measurement setup 1 2 1 2 Measurements plots Ploughed plot Seedbed plot Reference plot
  • 6. Measurement campaign Measurement equipment Used measurement equipment. Pictures from test field Selhausen.
  • 7.
  • 8. Results Soil moisture Meteorological data and measured soil moisture in 2, 5, 10 and 30 cm depth between 27.09.2009 and 27.10.2009
  • 9. Results Brightness temperature Measured brightness temperature (horizontal and vertical polarization) at 45° with L-Band Radiometer JülBaRa between 27.09.2009 and 27.10.2009
  • 10. Results Soil temperature Measured soil surface temperature from 02.10 to 07.10.2009 Photo from 2 October 2009 (12 P.M.) Plot 3 Plot 2 16.6 °C 16.3 °C 15.4 °C Mean skin temperature for the plots
  • 11. Results Modeling procedure Flow chart diagram of the inverse modeling procedure Inversion for the soil hydraulic parameters, fitting of the brightness temperature Soil hydraulic parameters: θr, θs, α, n, Ks Hydrological simulator Hydrus 1D Meteorological data: Rain and ETo (from Tair, Solar, Wind and Humidity) Simulated moisture profile Simulated permitivity ( ε ) profile Dielectric mixing model ε Simulated Reflectivity Tb sim. Inversion Objective function: Φ = Σ (T b sim. -T b meas. )^ 2 RTM Roughness correction CRTM or Fresnel Tb meas. θ sim. Global optimization with SCE Effective soil temperature θ meas
  • 12. Results Modeling procedure Unknown hydraulic parameters: θ r, θ s, Ks, n and α Parameter development after 1500 iterations, using Fresnel Θ r [cm^3/cm^3] Θ s [cm^3/cm^3] α [cm^-1] n [-] Ks [cm/min] MVG θ r cm 3 /cm 3 θ s cm 3 /cm 3 α 1/cm n - K s cm/day l - Laboratory 0.0 0.353 0.004 1.32 0.064 0.5 Inverted 0.03 0.42 0.001 1.60 0.030 0.5
  • 13. Results Modeling procedure Modeled and measured brightness temperature, modeled and measured soil moisture R^2 = 0.75 One to one line of the brightness temperature
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  • 17. Thank you for your attention! Radiometer field of view from above, July 2010