|Kustas, William - Bill|
Submitted to: IEEE IGARSS Annual Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 5/27/1996
Publication Date: N/A
Interpretive Summary: None
Technical Abstract: We present an operational two-source (soil+vegetation) time-integrated model (TSTIM) for estimating energy fluxes from a vegetated surface given measurements of the time rate of change of radiometric surface temperature (TRAD). This model requires ancillary measurements of wind speed, albedo, vegetation type and cover and initial atmospheric lapse rate. Unlike most algorithms for flux estimation proposed to date, however, this method does not require in situ measurements of air temperature. This is a significant benefit when TRAD is acquired remotely and it is difficult to collocate surface and air temperature measurements. The dependence of apparent radiometric temperature on sensor view angle is taken into account, so off-nadir satellite measurements can be used to drive the model. When applied to surface data collected during the FIFE and Monsoon '90 field experiments, RMS deviations between measurements and model predictions were ecomparable to those achieved by models that do require air temperature as an input, and to measurement errors typical of standard micrometeorological methods for flux estimation.