| Technology and Methodology |
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THE ESTIMATION OF LAND SURFACE EMISSIVITY FOR LANDSAT TM6 |
| QIN Zhi-hao1,3, LI Wen-juan2, XU Bin1,4, CHEN Zhong-xin1,4, LIU Jia1,4 |
1. MOA Key Laboratory of Resource Remote Sensing and Digital Agriculture, Beijing 100081, China;
2. The Spatial Modelling Centre, Ume University, SE 981 28 Kiruna, Sweden;
3. International Institute for Earth System Science, Nanking University, Nanjing 210093, China;
4. Institute of Natural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China |
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Abstract Land surface emissivity (LSE) is an essential parameter for land surface temperature (LST) retrieval from thermal remote sensing data. Up till now, three methods have been proposed for LST retrieval from TM6 data, namely, atmospheric correction, mono-window algorithm and single channel algorithm, which all require LSE as a parameter. In this paper the authors have first reviewed the three methods and then dealt emphatically with the estimation of this parameter. The method was applied to Lingxian area of Shangdong Province in North China Plain, the most important agricultural area in China, for LSE estimation and LST retrieval. The result shows that the method can yield a reasonable estimation of thermal variation of that area.
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Issue Date: 02 August 2011
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2004,
Vol. 16
