期刊
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
卷 120, 期 5, 页码 1723-1738出版社
AMER GEOPHYSICAL UNION
DOI: 10.1002/2014JD022619
关键词
water vapor; Landsat 8; MSWCVR; TIRS; thermal infrared remote sensing
资金
- National Natural Science Foundation of China [41401375, 41230747, 41331171, 41231170, 41471430]
- China Post-doctoral Fund [2014M550551]
- National Basic Research Program of China [2013CB733402]
- High Resolution Earth Observation Systems of National Science and Technology Major Projects
Atmospheric water vapor (wv) is required for the accurate retrieval of the land surface temperature from remote sensing data and other applications. This work aims to estimate wv from Landsat 8 Thermal InfraRed Sensor (TIRS) images using a new modified split-window covariance-variance ratio (MSWCVR) method on the basis of the brightness temperatures of two thermal infrared bands. Results show that the MSWCVR method can theoretically retrieve wv with an accuracy better than 0.3g/cm(2) for dry atmosphere (wv<2g/cm(2)) conditions and better than 0.5g/cm(2) for wet atmosphere conditions. The method was applied at different locations with dry and moist atmospheres and was validated at 42 ground sites using AERONET (Aerosol Robotic Network) ground-measured data and MODIS (Moderate Resolution Imaging Spectroradiometer) products. The results show that the retrieved wv from the TIRS data is highly correlated with the wv of AERONET and MODIS but is generally larger. This difference was probably attributed to the uncertainty of radiometric calibration and stray light coming outside from field of view of TIRS instrument in the current images. Consequently, the data quality and radiometric calibration of the TIRS data should be improved in the future.
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