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PLMR Calibration Valerio Paruscio Dr Jeff Walker University of Melbourne.

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Presentation on theme: "PLMR Calibration Valerio Paruscio Dr Jeff Walker University of Melbourne."— Presentation transcript:

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 Variables: Moisture Content ( ) %v/%v Vegetation Water Content (0 3)kg/m 2 Soil Temperature ( )K Incidence Angle (0 40) Model Sensitivity Assessment How accurate has the Brightness Temperature measurement to be in order to have a Moisture content error less than 4%?

5 Graphs Tb sensitivity

6 H polarization error (K) V polarization error (K)

7 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 4.7K (Hpol) 2.7K (Vpol) 2.2K (Hpol) 1.3K (Vpol)

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 Pre flight Sky Post flight Sky Post flight Box

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

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

17 Available data for calibration 1.Box pre flight (~300K) 2.Sky pre flight (~5K) 3.Water in flight (~110K) 4.Sky in flight (~5K) 5.Box post flight (~300K) 6.Sky post flight (~5K) actual measured

18 Calibration options 6 points (all) 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 H polV pol

21 Check the 3 pt calibration with in flight sky ponit V polH 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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