Share Email Print

Proceedings Paper

Semi-analytical land surface temperature estimation algorithm for GCOM-C/SGLI
Author(s): Masao Moriyama
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 21 November 2012
PDF: 10 pages
Proc. SPIE 8524, Land Surface Remote Sensing, 85240L (21 November 2012); doi: 10.1117/12.976861
Show Author Affiliations
Masao Moriyama, Nagasaki Univ. (Japan)

Published in SPIE Proceedings Vol. 8524:
Land Surface Remote Sensing
Dara Entekhabi; Yoshiaki Honda; Haruo Sawada; Jiancheng Shi; Taikan Oki, Editor(s)

© SPIE. Terms of Use
Back to Top