A Practical Split-Window Algorithm for Retrieving Land Surface Temperature from MODIS Data

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<P ><STRONG style="mso-bidi-font-weight: normal"><FONT face="Times New Roman">A Practical Split-Window Algorithm for Retrieving Land Surface Temperature from MODIS 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>,  Qin Zhihao,  Shi Jiancheng,  Gong Peng,<P></P></FONT></FONT></P>
<P ><FONT size=3><FONT face="Times New Roman">This paper presents a practical split-window algorithm utilized to retrieve landsurface temperature (LST) from Moderate-resolution Imaging Spectroradiometer (MODIS) data, which involves two essential parameters (transmittance and emissivity), and a new method to simplify Planck function has been proposed. The method for linearization of Planck function, how to obtain atmosphere transmittance from MODIS near-infrared (NIR) bands and the method for estimating of emissivity of ground are discussed with details. Sensitivity analysis of the algorithm has been performed for the evaluation of probable LST estimation error due to the possible errors in water content and emissivity. Analysis indicates that the algorithm is not sensitive to these two parameters. Especially, the average LST error is changed between 0.19–1.1 K when the water content error in the simulation standard atmosphere changes between 80 and 130%. We confirm the conclusion by retrieving LST from MODIS image data through changing retrieval water content error. Two methods have been used to validate the proposed algorithm. Results from validation and comparison using the standard atmospheric simulation and the comparison with the MODIS LST product demonstrate the applicability of the algorithm. Validation with standard atmospheric simulation indicates that this algorithm can achieve the average accuracy of this algorithm is about 0.32K in LST retrieval for the case without error in both transmittance and emissivity estimations. The accuracy of this algorithm is about 0.37 K and 0.49 K respectively when the transmittance is computed fromthe simulation water content by exponent fit and linear fit respectively.<P></P></FONT></FONT></P>
<P ><FONT face="Times New Roman"><STRONG style="mso-bidi-font-weight: normal">Kebiao Mao</STRONG>, Qin Z., Shi J., Gong P., A Practical Split-Window Algorithm for Retrieving Land Surface Temperature from MODIS Data, International Journal of Remote Sensing, 2005,26:3181-3204.<P></P></FONT></P>
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<TD >本文关键词： </TD>
<TD >热红外遥感 地表温度 MODIS </TD></TR>
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