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Proceedings Paper

Using TM thermal image to retrieve land surface temperature
Author(s): Jianmao Guo; Xujie Li; Bin Zhu; Yexian Zhou
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Paper Abstract

The land surface temperature is an important parameter to hydrology and meteorology, it affects the exchange of sensible and latent heats between atmosphere, sea and land, and it can not be lack in many research fields. To retrieve land surface temperature exactly and quantificationally will promote the development of research areas such as drought forecasting crop yield estimating numerical weather forecast, global climate change and carbon balance. Therefore, retrieval of land surface temperature using thermal infrared remote sensing becomes one of the most important tasks in quantificational remote sensing study. The TM images are used in this article, which were recorded in June 11, 2001 over Nakchu area in Tibetan Plateau, to calculate the land surface temperature. The natural surface is classified based on information of remote sensing (snow, water and other land surface) and relevant information of geography, then the emissivity can be dealt with by each surface type in different way. Last, the land surface temperature is inversed by mono-window algorithm. The result show that the derived regional distributions of the the land surface temperature for the whole mesoscale area is agreed with the land surface status very well.

Paper Details

Date Published: 12 August 2010
PDF: 12 pages
Proc. SPIE 7811, Atmospheric and Environmental Remote Sensing Data Processing and Utilization VI: Readiness for GEOSS IV, 78110G (12 August 2010); doi: 10.1117/12.860082
Show Author Affiliations
Jianmao Guo, Institute of Plateau Meteorology (China)
Nanjing Univ. of Information Science & Technology (China)
Xujie Li, Nanjing Univ. of Information Science & Technology (China)
Bin Zhu, Nanjing Univ. of Information Science & Technology (China)
Yexian Zhou, Nanjing Univ. of Information Science & Technology (China)


Published in SPIE Proceedings Vol. 7811:
Atmospheric and Environmental Remote Sensing Data Processing and Utilization VI: Readiness for GEOSS IV
Mitchell D. Goldberg; Hal J. Bloom, Editor(s)

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