Semi-analytical land surface temperature estimation algorithm for GCOM-C/SGLI

Masao Moriyama

doi:10.1117/12.976861

21 November 2012 Semi-analytical land surface temperature estimation algorithm for GCOM-C/SGLI

Masao Moriyama

Proceedings Volume 8524, Land Surface Remote Sensing; 85240L (2012) https://doi.org/10.1117/12.976861
Event: SPIE Asia-Pacific Remote Sensing, 2012, Kyoto, Japan

Abstract

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.

Citation Download Citation

Masao Moriyama "Semi-analytical land surface temperature estimation algorithm for GCOM-C/SGLI", Proc. SPIE 8524, Land Surface Remote Sensing, 85240L (21 November 2012); https://doi.org/10.1117/12.976861

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