Algorithms for estimating surface temperature from ATSR-2 data

Jose Antonio Sobrino; S. Reillo; S. Laporta; Juan Cuenca

doi:10.1117/12.413933

23 January 2001 Algorithms for estimating surface temperature from ATSR-2 data

Jose Antonio Sobrino, S. Reillo, S. Laporta, Juan Cuenca

Proceedings Volume 4171, Remote Sensing for Agriculture, Ecosystems, and Hydrology II; (2001) https://doi.org/10.1117/12.413933
Event: Europto Remote Sensing, 2000, Barcelona, Spain

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.

Citation Download Citation

Jose Antonio Sobrino, S. Reillo, S. Laporta, and Juan Cuenca "Algorithms for estimating surface temperature from ATSR-2 data", Proc. SPIE 4171, Remote Sensing for Agriculture, Ecosystems, and Hydrology II, (23 January 2001); https://doi.org/10.1117/12.413933

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