An improved empirical method for large spatial scale surface soil heat flux estimations

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Zhu, Weiwei^1 ; Wu, Bingfang^1 ; Lu, Shanlong^1 ; Yan, Nana^1 ; Liu, Guoshui^1 ; Liu, Shufu^1 ; Xing, Qiang^1

Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences, Beijing, China^1

关键词: Correlation coefficient;    Field observation data;    Large spatial scale;    Ratio vegetation indices;    Shortwave Infrared Reflectance;    Solar zenith angle;    Surface characteristics;    Surface temperatures;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012124/pdf
DOI  :  10.1088/1755-1315/17/1/012124

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In this paper, a novel method to simulate soil heat flux for large spatial scale is proposed. This method is constructed with the ratio of soil heat flux and net radiation (G0/Rn) and surface characteristic parameters, such as ratio vegetation indices, surface temperature, surface shortwave infrared reflectance, soil moisture content, solar zenith angle. Field calibration is carried out using measured data in 2009 from Yingke, Huazhaizi, Arou, and Dayakou stations located in Heihe River Basin, Northwest of China. The estimated soil heat flux is compared with field observation data from Yingke and Arou stations in 2008. The overall deviation basis and correlation coefficient between the soil heat flux estimation and measured data are 13.4% and 0.804 in the Yingke station and 12.5% and 0.893 in the Arou station respectively, and also the correlation coefficient are 0.905 in the Maliantan station and 0.817 in the Binggou station respectively. Results indicated that the proposed method performed well in Heihe River Basin. This new method could be an optimal choice to estimate surface soil heat flux for large spatial scale in the future.