A physics based statistical algorithm for retrieving land surface temperature

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<P ><STRONG style="mso-bidi-font-weight: normal"><FONT face="Times New Roman">A physics-based statistical algorithm for retrieving land surface temperature from AMSR-E passive microwave data<P></P></FONT></STRONG></P>
<P ><FONT size=3><FONT face="Times New Roman"><STRONG style="mso-bidi-font-weight: normal">Kebiao Mao</STRONG>, Jiancheng Shi, Zhaoliang Li, Zhihao Qin, Manchun Li, Bin Xu,<P></P></FONT></FONT></P>
<P ><FONT size=3><FONT face="Times New Roman"> AMSR-E and MODIS are two EOS (Earth Observing System) instruments on board the Aqua satellite. A regression analysis between the brightness of all AMSR-E bands and the MODIS land surface temperature product indicated that the 89 GHz vertical polarization is the best single band to retrieve land surface temperature. According to simulation analysis with AIEM, the difference of different frequencies can eliminate the influence of water in soil and atmosphere, and also the surface roughness partly. The analysis results indicate that the radiation mechanism of surface covered snow is different from others. In order to retrieve land surface temperature more accurately, the land surface should be at least classified into three types: water covered surface, snow covered surface, and non-water and non-snow covered land surface. In order to improve the practicality and accuracy of the algorithm, we built different equations for different ranges of temperature. The average land surface temperature error is about 2―3 K relative to the MODIS LST product.<P></P></FONT></FONT></P>
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<P ><FONT face="Times New Roman"><STRONG style="mso-bidi-font-weight: normal">Kebiao Mao</STRONG>, Jiancheng Shi, Zhaoliang Li, Zhihao Qin, Manchun Li, Bin Xu, A physics-based statistical algorithm for retrieving land surface temperature from AMSR-E passive microwave data, Science in China (Series D)</FONT>，<FONT face="Times New Roman">2007,7:1115-1120.                </FONT><a href="http://www.sciencenet.cn/upload/blog/file/2009/6/200962514165216876.pdf" target="_blank" ><FONT color=#0000ff>PDF download(点击下载)</FONT></A></P>
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<TD class=h vAlign=top align=left>本文引用地址：<a href="http://www.sciencenet.cn/blog/user_content.aspx?id=231555" target="_blank" >http://www.sciencenet.cn/blog/user_content.aspx?id=231555</A> </TD></TR>
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<TD >本文关键词： </TD>
<TD >微波遥感 地表温度 AMSR-E </TD></TR>
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