Conference Proceedings

Obtaining surface energy fluxes from remotely sensed data

C Savige, AW Western, JP Walker, JD Kalma, AN French, M Abuzar, A Zerger (ed.), RM Argent (ed.)

MODSIM 2005: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: ADVANCES AND APPLICATIONS FOR MANAGEMENT AND DECISION MAKING | MODELLING & SIMULATION SOC AUSTRALIA & NEW ZEALAND INC | Published : 2005

Abstract

Land surface fluxes have been estimated from remotely sensed data at high pixel resolutions (approximately 60 m) with reasonable accuracy when compared to ground measurements (French et al., 2003; Kustas and Norman, 1999). The remote sensing input used to model land surface fluxes may consist of land surface temperature and a vegetation index. Remotely sensed land surface temperature estimates are strongly affected by atmospheric effects and the generally unknown land surface emissivity. These effects mean that land surface temperature estimates can vary by 1-3 degrees. Similarly, the visible and infra-red bands that are used to calculate vegetation indices are affected by the atmosphere and..

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University of Melbourne Researchers