Journal
JOURNAL OF EARTH SYSTEM SCIENCE
Volume 118, Issue 4, Pages 345-353Publisher
INDIAN ACAD SCIENCES
DOI: 10.1007/s12040-009-0027-4
Keywords
Transmittance; emissivity; water vapour content
Funding
- National Natural Science Foundation of China [40771148, 40771037]
- Public Welfare Industry of China (Meteorology)
- [GYHY200806022]
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Land surface temperature (LST) is a key parameter in environment and earth science study, especially for monitoring drought. The objective of this work is a comparison of two split-window methods: Mao method and Sobrino method. for retrieving LST using MODIS (Moderate-resolution Imaging Spectroradiometer) data in North China Plain. The results show that the max, min and mean errors of Mao method are 1.33 K, 1.54 K and 0.13 K lower than the standard LST product respectively, while those of Sobrino method are 0.73 K, 1.46 K and 1.50 K higher than the standard respectively. Validation of the two methods using LST product based on weather stations shows a good agreement between the standard and Sobrino method, with RMSE of 1.17 K, whereas RMSE of Mao method is 1.85 K. Finally, the study introduces the Sobmao method, which is based on Sobrino method but simplifies the estimation of atmospheric water vapour content using Mao method. The Sobmao method has almost the same accuracy with Sobrino method. With high accuracy and simplification of water vapour content estimation, the Sobmao method is recommendable in LST inversion for good application in Ningxia region, the northwest China, with mean error of 0.33 K and the RMSE value of 0.91 K.
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