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Soil Temperature Retrieval Using Multi-Sensor Data Paul O'Neill, Remy Dehaan EH Graham Centre and Charles Sturt University Jeff Walker University of Melbourne.

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Presentation on theme: "Soil Temperature Retrieval Using Multi-Sensor Data Paul O'Neill, Remy Dehaan EH Graham Centre and Charles Sturt University Jeff Walker University of Melbourne."— Presentation transcript:

1 Soil Temperature Retrieval Using Multi-Sensor Data Paul O'Neill, Remy Dehaan EH Graham Centre and Charles Sturt University Jeff Walker University of Melbourne Iain Hume EH Graham Centre and NSW DPI

2 T B = e T eff emissivity, related to 0-5 cm soil moisture effective temperature, related to 0-5 cm temperature, moisture and temperature profiles

3 S2 - Bare Soil 1 cm skin 2.5 cm 5 cm

4 S1 Dryland WheatS2 Bare Soil S3 Irrigated WheatS4 Irrigated Lucern

5 Maggioni et al. 2006 - NAFE 05

6 native grasses wheat

7 irrigated lucern

8 use PLMR observations and ancillary data to model soil/canopy temperatures as function of time-of-day, TIR brightness temperature and vegetation properties HydraProbe moisture data L-band brightness temperature soil texture surface roughness vegetation water content vegetation indices

9 surface energy balance models composite vegetation/soil temperature forward modelling of visible, infrared and microwave radiative transfer

10

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