This study aims at evaluating regional distribution and diurnal variation of surface sensible and latent heat fluxes over vegetation using limited number of satellite IR images, meteorological data, and a numerical heat budget simulation together. Data used in this study are as follows: NOAA-AVHRR thermal IR image for retrieving surface temperature, surface and upper meteorological data, time series of solar radiation, and leaf area index for determining surface aerodynamic conditions. To evaluate sensible heat flux, retrieving the surface effective temperature of sensible heat flux is required. This temperature is different from IR temperature in general, even an original IR temperatures is atmospherically corrected and a correction of emissivity is performed.

Date Published: 8 February 2001
PDF: 9 pages
Proc. SPIE 4151, Hyperspectral Remote Sensing of the Land and Atmosphere, (8 February 2001); doi: 10.1117/12.417020

Published in SPIE Proceedings Vol. 4151:
Hyperspectral Remote Sensing of the Land and Atmosphere
William L. Smith; Yoshifumi Yasuoka, Editor(s)