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Proceedings Paper

Estimate of land surface temperature from MTSAT-1R observations
Author(s): Yingqi Pan; Jia Li; Ouyang Xiaoying
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Paper Abstract

A practical algorithm is developed to retrieve LST from the Multi-functional Transport Satellite (MTSAT), which was launched in 2005 by Japan Meteorological Agency (JMA). A classified Split-Window algorithm is developed under various atmospheric and surface conditions through simulations by MODTRAN 4. The coefficients in the algorithm are separated in several groups by a series of different parameters. The retrieved MTSAT LST is compared with that from Fengyun Meteorological Satellite (FY), airborne and ground observations collected in the Heihe river basin, China. The analysis indicates that the classified split-window algorithm can be successfully applied to the LST retrievals from MTSAT data.

Paper Details

Date Published: 8 November 2014
PDF: 15 pages
Proc. SPIE 9260, Land Surface Remote Sensing II, 926013 (8 November 2014); doi: 10.1117/12.2069242
Show Author Affiliations
Yingqi Pan, Institute of Remote Sensing and Digital Earth (China)
Univ. of Chinese Academy of Sciences (China)
Jia Li, Institute of Remote Sensing and Digital Earth (China)
Joint Ctr. for Global Change Studies (China)
Ouyang Xiaoying, Institute of Remote Sensing and Digital Earth (China)

Published in SPIE Proceedings Vol. 9260:
Land Surface Remote Sensing II
Thomas J. Jackson; Jing Ming Chen; Peng Gong; Shunlin Liang, Editor(s)

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