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PLMR Calibration

PLMR Calibration. Valerio Paruscio Dr Jeff Walker University of Melbourne. Outline. Admissible error in brightness temperature measurement Available data for calibration Calibration options and recommendation. Model Sensitivity Assessment

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PLMR Calibration

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  1. PLMR Calibration Valerio Paruscio Dr Jeff Walker University of Melbourne

  2. Outline • Admissible error in brightness temperature measurement • Available data for calibration • Calibration options and recommendation

  3. Model Sensitivity Assessment How accurate has the Brightness Temperature measurement to be in order to have a Moisture content error less than 4%? • Hypothesis: • Roughness = 0.2 • SS Albedo = 0.05 • Soil Type = Silt clay loam

  4. Model Sensitivity Assessment How accurate has the Brightness Temperature measurement to be in order to have a Moisture content error less than 4%? • Variables: • Moisture Content (0.05-0.4) %v/%v • Vegetation Water Content (03)kg/m2 • Soil Temperature (280315)K • Incidence Angle (040)

  5. Graphs Tb sensitivity

  6. 2.2 1.3 H polarization error (K) V polarization error (K)

  7. 4.7K (Hpol) 2.2K (Hpol) 2.7K (Vpol) 1.3K (Vpol) Critical scenarios • High value of Vegetation Water Content • High Incidence Angle • Dry Soil • Max Tb error permitted = Most common scenarios • Low value of Vegetation Water Content • Max Tb error permitted = Commonly Tb error up to 8K can be tolerated

  8. Available data for calibration • Box pre and post flight (~300K) actual measured

  9. Available data for calibration • Box pre and post flight (~300K) • Sky pre and post flight (~5K) actual measured

  10. Box and Sky Brightness Temperature Pre flight Box Post flight Box Pre flight Sky Post flight Sky

  11. Available data for calibration • Box pre and post flight (~300K) • Sky pre and post flight (~5K) • Water in flight (~110K) actual measured

  12. Temperature and Conductivity spatial series

  13. Temperature and Conductivity time series

  14. Transect–Buoy data comparision

  15. Thermal Infrared data over the lake Week 1 Week 2 Week 3 Week 4 Mon Tue Wed Thu Fri

  16. actual Available data for calibration • Box pre and post flight (~300K) • Sky pre and post flight (~5K) • Water in flight (~110K) • Sky in flight (~5K) measured

  17. Available data for calibration • Box pre flight (~300K) • Sky pre flight (~5K) • Water in flight (~110K) • Sky in flight (~5K) • Box post flight (~300K) • Sky post flight (~5K) actual measured

  18. 6 points (all) Calibration options • 4 points/2 points (box & sky from the ground) • 3 points (box and water)

  19. Calibration lines (6 beams, 2 polarizations)

  20. Check the 4 pt calibration with water ponit V pol H pol

  21. Check the 3 pt calibration with in flight sky ponit V pol H pol

  22. Variation in Tb measurement passing from the 4 points cal to the 3 points cal

  23. Time series of slope & offset (4 pts) • From 4 pt

  24. Variation in Tb measurement passing from the 4 points cal to the 2 points cal

  25. Error using a unique 4 pt calibration instead of a daily one

  26. Conclusion • Recommendation this campaign V pol  4 pt daily H pol  4 pt daily (or unique) next campaign V pol  4 pt daily, 3 pt(?) H pol  4 pt/2 pt daily (or unique)

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