So far the land surface temperature (LST) estimation from space is made by many kinds of sensors, as the operational
product, ASTER1 and MODIS2 onboard TERRA satellite made the land surface temperature product
in early 2000. Just after this, AATSR3 onboard the European satellite ESA published the land surface product.
The operational land surface temperature estimation has about 10 years history and the improvement of the
estimation algorithm are made. The LST estimation has the intrinsic difficulty which the unknown variables
are more than the formulae. To avoid this difficulty, MODIS and AATSR use the statistical method which the
surface emissivity is assigned as the known variable and ASTER uses the semi–analytical method which estimates
the land surface temperature and emissivity simultaneously from the atmospheric-ally corrected satellite
radiance. The both methods has complementary advantages and disadvantages so that these methods improved
independently. The author tried to integrate the split window formula to the semi–analytical method as the additional
formula to make the problem determine for the SGLI sensor onboard GCOM–C1 which will be launched
2015 by JAXA. This paper describes the detail of the integration and the estimation results.
Masao Moriyama, Masao Moriyama,
"Semi-analytical land surface temperature estimation algorithm for GCOM-C/SGLI", Proc. SPIE 8524, Land Surface Remote Sensing, 85240L (21 November 2012); doi: 10.1117/12.976861; https://doi.org/10.1117/12.976861