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Spatial Downscaling of Land Surface Temperature based On Surface Energy Balance

文献类型： 会议论文

第一作者： Yongxin Hu

作者： Yongxin Hu 1 ; Ronglin Tani 1 ; Xiaoguang Jiang 2 ; Zhao-Liang Li 3 ; Yazhen Jiang 1 ; Meng Liu 3 ;

作者机构： 1.College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China

2.Key Laboratory of Quantitative Remote Sensing Information Technology, Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing, China

3.Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China

关键词： Land surface temperature;Land surface;Spatial resolution;Remote sensing;Energy resolution;Surface topography;MODIS

会议名称： International Geoscience and Remote Sensing Symposium

主办单位：

页码： 4926-4929

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.

分类号： tp7

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