Derivation of Land Surface Temperature for Landsat-8 TIRS Using a Split Window Algorithm

文献类型： 外文期刊

第一作者： Rozenstein, Offer

作者： Rozenstein, Offer;Karnieli, Arnon;Qin, Zhihao;Derimian, Yevgeny

作者机构：

关键词： thermal remote sensing;TIRS;Landsat-8;land surface temperature

期刊名称：SENSORS （ 影响因子：3.576； 五年影响因子：3.735 ）

ISSN： 1424-8220

年卷期： 2014 年 14 卷 4 期

页码：

收录情况： SCI

摘要： Land surface temperature (LST) is one of the most important variables measured by satellite remote sensing. Public domain data are available from the newly operational Landsat-8 Thermal Infrared Sensor (TIRS). This paper presents an adjustment of the split window algorithm (SWA) for TIRS that uses atmospheric transmittance and land surface emissivity (LSE) as inputs. Various alternatives for estimating these SWA inputs are reviewed, and a sensitivity analysis of the SWA to misestimating the input parameters is performed. The accuracy of the current development was assessed using simulated Modtran data. The root mean square error (RMSE) of the simulated LST was calculated as 0.93 degrees C. This SWA development is leading to progress in the determination of LST by Landsat-8 TIRS.

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