Validation of Landsat land surface temperature product in the conterminous United States using in situ measurements from SURFRAD, ARM, and NDBC sites

文献类型： 外文期刊

第一作者： Duan, Si-Bo

作者： Duan, Si-Bo;Li, Zhao-Liang;Huang, Cheng;Han, Xiao-Jing;Gao, Maofang;Leng, Pei;Li, Zhao-Liang;Shang, Guofei;Zhao, Wei;Wu, Penghai

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关键词： Land surface temperature; land surface emissivity; validation; Landsat

期刊名称：INTERNATIONAL JOURNAL OF DIGITAL EARTH （ 影响因子：3.538； 五年影响因子：3.888 ）

ISSN： 1753-8947

年卷期： 2021 年 14 卷 5 期

页码：

收录情况： SCI

摘要： Since 1982, Landsat series of satellite sensors continuously acquired thermal infrared images of the Earth's land surface. In this study, Landsat 5, 7, and 8 land surface temperature (LST) products in the conterminous United States from 2009 to 2019 were validated using in situ measurements collected at 6 SURFRAD (Surface Radiation Budget Network) sites, 6 ARM (Atmospheric Radiation Measurement) sites, and 9 NDBC (National Data Buoy Center) sites. The results indicate that a relatively consistent performance among Landsat 5, 7, and 8 LST products is obtained for most sites due to the consistent LST retrieval algorithm in conjunction with the same atmospheric compensation and land surface emissivity (LSE) correction methods for Landsat 5, 7, and 8 sensors. Large bias and root mean square error (RMSE) of Landsat LST product are obtained at some vegetated sites due to incorrect LSE estimation where LSE is invariant with the increasing of normalized difference vegetation index (NDVI). Except for the sites with incorrect LSE estimation, a mean bias (RMSE) of the differences between Landsat LST and in situ LST is 1.0 K (2.1 K) over snow-free land surfaces, -1.1 K (1.6 K) over snow surfaces, and -0.3 K (1.1 K) over water surfaces.

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