soil temperature retrieval using multi-sensor data paul o'neill, remy dehaan eh graham centre...

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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 Iain Hume EH Graham Centre and NSW DPI

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Page 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

Soil Temperature Retrieval Using Multi-Sensor Data

Paul O'Neill, Remy DehaanEH Graham Centre and Charles Sturt University

Jeff WalkerUniversity of Melbourne

Iain HumeEH Graham Centre and NSW DPI

Page 2: Soil Temperature Retrieval Using Multi-Sensor Data Paul O'Neill, Remy Dehaan EH Graham Centre and Charles Sturt University Jeff Walker University of Melbourne

TB = e T

eff

emissivity, related to 0-5

cm soil moisture

effective temperature,

related to 0-5 cm temperature, moisture and temperature

profiles

Page 3: Soil Temperature Retrieval Using Multi-Sensor Data Paul O'Neill, Remy Dehaan EH Graham Centre and Charles Sturt University Jeff Walker University of Melbourne

S2 - Bare Soil

1 cmskin 2.5 cm

5 cm

Page 4: Soil Temperature Retrieval Using Multi-Sensor Data Paul O'Neill, Remy Dehaan EH Graham Centre and Charles Sturt University Jeff Walker University of Melbourne

S1 Dryland Wheat S2 Bare Soil

S3 Irrigated Wheat S4 Irrigated Lucern

Page 5: Soil Temperature Retrieval Using Multi-Sensor Data Paul O'Neill, Remy Dehaan EH Graham Centre and Charles Sturt University Jeff Walker University of Melbourne

Maggioni et al. 2006 - NAFE 05

Page 6: Soil Temperature Retrieval Using Multi-Sensor Data Paul O'Neill, Remy Dehaan EH Graham Centre and Charles Sturt University Jeff Walker University of Melbourne

Maggioni et al. 2006 - NAFE 05

native grasses

wheat

Page 7: Soil Temperature Retrieval Using Multi-Sensor Data Paul O'Neill, Remy Dehaan EH Graham Centre and Charles Sturt University Jeff Walker University of Melbourne

irrigated lucern

Page 8: Soil Temperature Retrieval Using Multi-Sensor Data Paul O'Neill, Remy Dehaan EH Graham Centre and Charles Sturt University Jeff Walker University of Melbourne

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 dataL-band brightness temperature

soil texturesurface roughness

vegetation water contentvegetation indices

Page 9: Soil Temperature Retrieval Using Multi-Sensor Data Paul O'Neill, Remy Dehaan EH Graham Centre and Charles Sturt University Jeff Walker University of Melbourne

surface energy balance models

composite vegetation/soil temperature

forward modelling of visible, infrared and microwave radiative transfer

Page 10: Soil Temperature Retrieval Using Multi-Sensor Data Paul O'Neill, Remy Dehaan EH Graham Centre and Charles Sturt University Jeff Walker University of Melbourne