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Proceedings Paper

An algorithm to retrieve land surface temperature from ASTER thermal band data for agricultural drought monitoring
Author(s): Zhihao Qin; Wenjuan Li; Maofang Gao; Hong'ou Zhang
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Paper Abstract

High spatial resolution ASTER data have 5 thermal bands, of which band 13 and 14 are especially suitable for land surface temperature (LST) estimation. Generally, LST retrieval from two thermal bands is done through so-called split window technique. In the past two decades above 17 split window algorithms have been proposed. However, such algorithm for ASTER data has not been reported, probably due to the new availability of the data for environmental application. In the study, a new split window algorithm has been developed for LST retrieval from ASTER data. Our algorithm only involves two essential parameters for LST retrieval while keeping the same accuracy as those having more parameters. Detailed derivation of the split window algorithm has been given in the paper, which including formulation of thermal radiation transfer equation, determination of algorithm constants, and estimation of the essential parameters. Comparison of our algorithm with the existing ones for validation of its accuracy and applicability in the real world indicates that our algorithm has an average root mean square (RMS) error of 0.67°C when transmittance has an error of 0.05 and emissivity has an error of 0.01. Thus we can conclude that our algorithm is a very good alternative for accurate LST retrieval from ASTER data. Application of the algorithm to Wuxi-Suchou region in Yangtze River Delta produces a very reseasonable LST image of the region, hence confirms the applicability of the algorithm.

Paper Details

Date Published: 17 October 2006
PDF: 8 pages
Proc. SPIE 6359, Remote Sensing for Agriculture, Ecosystems, and Hydrology VIII, 63591F (17 October 2006); doi: 10.1117/12.689307
Show Author Affiliations
Zhihao Qin, Institute of Agro-Resource and Regional Planning (China)
Nanjing Univ. (China)
Wenjuan Li, Institute of Agro-Resource and Regional Planning (China)
Maofang Gao, Institute of Agro-Resource and Regional Planning (China)
Hong'ou Zhang, Guangdong Public Lab. of Environmental Science and Technology (China)


Published in SPIE Proceedings Vol. 6359:
Remote Sensing for Agriculture, Ecosystems, and Hydrology VIII
Manfred Owe; Guido D'Urso; Christopher M. U. Neale; Ben T. Gouweleeuw, Editor(s)

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