Estimate of land surface temperature from MTSAT-1R observations

Yingqi Pan; Jia Li; Ouyang Xiaoying

doi:10.1117/12.2069242

8 November 2014 Estimate of land surface temperature from MTSAT-1R observations

Yingqi Pan, Jia Li, Ouyang Xiaoying

Author Affiliations +

Proceedings Volume 9260, Land Surface Remote Sensing II; 926013 (2014) https://doi.org/10.1117/12.2069242
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China

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.

Citation Download Citation

Yingqi Pan, Jia Li, and Ouyang Xiaoying "Estimate of land surface temperature from MTSAT-1R observations", Proc. SPIE 9260, Land Surface Remote Sensing II, 926013 (8 November 2014); https://doi.org/10.1117/12.2069242

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