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Proceedings Paper

Mapping sensible and latent heat fluxes in arid areas using optical imagery
Author(s): Jan M. H. Hendrickx; Sung-ho Hong
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Paper Abstract

Accurate information on the distribution of sensible and latent heat fluxes is critical for evaluation of background characteristics. Since these fluxes are subject to rapid changes in time and space, it is nearly impossible to determine their spatial and temporal distributions over large areas from ground measurements alone. Therefore, prediction from remote sensing data is very attractive as it enables large area coverage and a high repetition rate. In this study, the Surface Energy Balance Algorithm for Land (SEBAL) is selected to estimate sensible and latent heat fluxes at 30 m resolution in the riparian areas of the Middle Rio Grande Basin (New Mexico), San Pedro River (Arizona) and Owens Valley (California). The objective is to compare SEBAL fluxes derived from LandSat TM images with those measured on the ground with eddy covariance towers. The comparison in arid heterogeneous riparian areas in the southwestern United States clearly demonstrates that SEBAL can be applied for mapping sensible and latent heat fluxes at high spatial resolutions.

Paper Details

Date Published: 25 May 2005
PDF: 9 pages
Proc. SPIE 5811, Targets and Backgrounds XI: Characterization and Representation, (25 May 2005); doi: 10.1117/12.603361
Show Author Affiliations
Jan M. H. Hendrickx, New Mexico Tech (United States)
Sung-ho Hong, New Mexico Tech (United States)

Published in SPIE Proceedings Vol. 5811:
Targets and Backgrounds XI: Characterization and Representation
Wendell R. Watkins; Dieter Clement; William R. Reynolds, Editor(s)

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