数字农科院2.0

A Simplified Approach to Retrieve the K-Band Microwave Surface Emissivity Under Clear Skies

文献类型： 外文期刊

作者： Zhu, Xin-Ming;Song, Xiao-Ning;Leng, Pei;Li, Xiao-Tao;Gao, Liang;Ding, Li-Rong;Guo, Han

作者机构：

关键词： Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E);atmospheric correction;clear sky;surface emissivity

期刊名称： IEEE GEOSCIENCE AND REMOTE SENSING LETTERS

ISSN： 1545-598X

年卷期： 2022 年 19 卷

页码：

收录情况： SCIE（2022版） ; ; EI（2022版）

摘要： Microwave land surface emissivity (MLSE) at the K-band plays a key role in driving geophysical parameters, such as land surface temperature (LST). However, satellite-based MLSE currently is hard to be quickly retrieved in clear skies since the time cost is high in removing atmospheric contributions. In this letter, one clear-sky atmospheric profile dataset, including a wide range of precipitable water vapor (PWV) values, was constructed using the thermodynamic initial guess retrieval database for analyzing numerical relationships between PWV and atmospheric parameters. Then, a simplified algorithm was developed for accurately retrieving instantaneous K-band MLSEs (18.7 and 23.8 GHz) under clear skies, which can significantly save the time of atmospheric correction. The sensitivity analysis shows that PWV is a key factor affecting MLSE estimation at 23.8 GHz, and the brightness temperature (BT) uncertainty has a greater impact on MLSE estimation than LST. In addition, with LST derived from the moderate-resolution imaging spectroradiometer, BT from the Advanced Microwave Scanning Radiometer Earth Observing System (AMSR-E), and the ERA5 reanalysis PWV in 2008, the proposed algorithm was, respectively, applied in Europe and the United States for presenting its applicability at a station scale and regional scale. The actual sounding profile and global AMSR-E MLSE product were used as validation datasets. Results indicate that the simplified approach has a good performance with root-mean-square errors (RMSEs) less than 0.02 in the site and regional validations, whereas there are some apparent overestimations in estimating clear-sky MLSEs, especially for 23.8 GHz. We believe that the proposed approach is promising for retrieving other parameters.

分类号：

  • 相关文献

[1]Estimation of land surface emissivity for Landsat TM6 and its application to Lingxian Region in north China. Qin, Zhihao,Li, Wenjuan,Gao, Maofang,Zhang, Hong'ou,Qin, Zhihao. 2006

[2]Performances of six reanalysis profile products in the atmospheric correction of passive microwave data for estimating land surface temperature under cloudy-sky conditions. Xin Ming Zhu,Xiao Ning Song,Pei Leng,Fang Cheng Zhou,Liang Gao,Da Guo. 2022

作者其他论文 更多>>