This paper presents an algorithm for the retrieval of daytime land surface temperature ( LST) from the Terra/MODIS data
which considers the atmospheric radiation effects due to the viewing zenith angle ( VZA) variation. The MODTRAN4 model
875 profiles of TIGR3 database and 106 surface emissivity spectra of the ASTER spectral library were used to obtain the Split-Window Algorithm ( SWA) coefficients. The Root Mean Square Errors ( RMSEs) of LST retrieval using the MODTRAN4 simulation are 0. 34 K. Sensitivity analysis confirmed that the algorithm is not sensitive to total column water vapor content ( TCWVC) for the moderately moist atmospheric conditions. In addition
LST retrieval error due to the VZA effect was reduced. Retrieved LSTs have compared with Mao
et al. ’s LST and MOD11
L
2 LST. Surface Radiation ( SURFRAD) budget network measurements have been used for LST validation over six sites during the entire month of June 2009. The RMSE values of LST were 0. 93 K
1. 49K and 1.0K for this new algorithm
Mao
et al. ’s algorithm and MOD11
L
2 LST
while the average biases were-0. 66K
1. 34K and -0.38 K
respectively.
关键词
地表温度分裂窗算法MODISSURFRAD
Keywords
land surface temperaturesplit-window algorithmMODISSURFRAD