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Proceedings Paper

Algorithms for estimating surface temperature from ATSR-2 data
Author(s): Jose Antonio Sobrino; S. Reillo; S. Laporta; Juan Cuenca
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Paper Abstract

A study has been carried out using MODTRAN 3.5 simulations of the Along-Track Scanning Radiometer-2 (ATSR-2) data at 3.7, 11 and 12 µm wavelengths to give a great range of algorithms for estimating sea surface temperature (SST) and land surface temperature (LST). Algorithms based on split-window, dual-angle and mixed structure have been considered. The coefficients of the algorithms are derived by regression analysis using the MATLAB code. The results show that, in general, dual-angle algorithms give better results than split-window ones, retrieving LST with a standard deviation as low as 0.4 K and 0.6 K respectively if the satellite data are error free. The introduction of 3.7 µm channel involves less error in the estimation of surface temperature. Water vapor dependence supposes an improvement of the accuracy of the results.

Paper Details

Date Published: 23 January 2001
PDF: 12 pages
Proc. SPIE 4171, Remote Sensing for Agriculture, Ecosystems, and Hydrology II, (23 January 2001); doi: 10.1117/12.413933
Show Author Affiliations
Jose Antonio Sobrino, Univ. de Valencia (Spain)
S. Reillo, Univ. de Valencia (Spain)
S. Laporta, Univ. de Valencia (Spain)
Juan Cuenca, Univ. de Valencia (Spain)


Published in SPIE Proceedings Vol. 4171:
Remote Sensing for Agriculture, Ecosystems, and Hydrology II
Manfred Owe; Guido D'Urso; Eugenio Zilioli, Editor(s)

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