SPATIAL DOWNSCALING OF LAND SURFACE TEMPERATURE BASED ON SURFACE ENERGY BALANCE

文献类型： 外文期刊

第一作者： Hu, Yongxin

作者： Hu, Yongxin;Tang, Ronglin;Jiang, Xiaoguang;Jiang, Yazhen;Tang, Ronglin;Li, Zhao-Liang;Jiang, Yazhen;Jiang, Xiaoguang;Li, Zhao-Liang;Liu, Meng

作者机构：

关键词： Spatial downscaling; land surface temperature; surface energy balance

期刊名称：IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM

ISSN： 2153-6996

年卷期： 2020 年

页码：

收录情况： SCI

摘要： Fine spatial resolution land surface temperature (LST) data derived from a thermal infrared remote sensing image are essential to the study of land surface energy, water and carbon cycles. As an alternative and effective way to obtain fine spatial resolution LST, a large number of LST downscaling methods have been proposed in recent decades to enhance coarse resolution LST to fine resolution. However, the drawbacks of the random selection of scaling factors and the establishment of statistical regression relationships are obvious. In this context, a general and physical LST downscaling method based on surface energy balance (DTsEB) is proposed in this study. Moderate Resolution Imaging Spectroradiometer (MODIS) LST data at 990 m spatial resolution were downscaled to 90 m by using this new proposed SEB-based LST downscaling method in this study. Compared with the concurrent 90 m resolution Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) LST data, the downscaled results have a mean absolute error (MAE) of 1.37 K and a root mean square error (RMSE) of 1.84 K.

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