Abstract
Analysis of the relation between remotely sensed spectral vegetation indices and thermal infrared measurements suggests that presence of vegetation foliage is a primary determinant of observed surface temperature patterns. The form of this relation may be diagnostic of energy balance Bowen ratios and therefore provide an improved means to evaluate land surface evapotranspiration. Observations from the First International Satellite Land Surface Climatology Project Field Experiment conducted in northeastern Kansas, United States in 1987 provide data needed to evaluate this phenomena. Preliminary analysis of NOAA-9 advanced very high resolution radiometer data shows that a strong relation between the spectral vegetation indices and surface temperature is consistently observed. This relation appears to co-vary with surface moisture conditions as expected. However, cloud contamination and view angle effects in the AVHRR data also cause variations in the relation. The potential of combined spectral vegetation indices and surface temperature remotely sensed measurements in surface energy balance analysis appear great. However, the full resources of the of the FIFE experiment will be required to address the cloud cover and view angle effects.
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