Title | Comparison of two split-window methods for retrieving land surface temperature from MODIS data |
Authors | Zhao, Shaohua Qin, Qiming Yang, Yonghui Xiong, Yujiu Qiu, Guoyu |
Affiliation | Peking Univ, Inst Remote Sensing & Geog Informat Syst, Beijing 100871, Peoples R China. Chinese Acad Sci, Inst Genet & Dev Biol, Ctr Agr Resources Res, Shijiazhuang 050021, Peoples R China. Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Coll Resources Sci & Technol, Beijing 100875, Peoples R China. |
Keywords | Transmittance emissivity water vapour content WATER-VAPOR AVHRR DATA EMISSIVITY ALGORITHM VALIDATION ABSORPTION EOS/MODIS AEROSOL COVER INDEX |
Issue Date | 2009 |
Citation | JOURNAL OF EARTH SYSTEM SCIENCE.2009,118,(4),345-353. |
Abstract | 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. |
URI | http://hdl.handle.net/20.500.11897/155932 |
ISSN | 0253-4126 |
Indexed | SCI(E) |
Appears in Collections: | 地球与空间科学学院 |