Remote Sensing Applications and Decision Support

Brightness temperature simulation of snow cover based on snow grain size evolution using in situ data

[+] Author Affiliations
Lili Wu

Chinese Academy of Sciences, Northeast Institute of Geography and Agroecology, 4888 Shengbei Street, Changchun 130102, China

University of Chinese Academy of Sciences, 19 A Yuquan Road, Shijingshan District, Beijing 100049, China

Xiaofeng Li, Kai Zhao, Xingming Zheng, Tao Jiang

Chinese Academy of Sciences, Northeast Institute of Geography and Agroecology, 4888 Shengbei Street, Changchun 130102, China

Changchun Jingyuetan Remote Sensing Test Site of Chinese Academy of Sciences, 4888 Shengbei Street, Changchun 130102, China

J. Appl. Remote Sens. 10(3), 036016 (Aug 18, 2016). doi:10.1117/1.JRS.10.036016
History: Received January 28, 2016; Accepted July 28, 2016
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Abstract.  Snow depth parameter inversion from passive microwave remote sensing is of great significance to hydrological process and climate systems. The Helsinki University of Technology (HUT) model is a commonly used snow emission model. Snow grain size (SGS) is one of the important input parameters, but SGS is difficult to obtain in broad areas. The time series of SGS are first evolved by an SGS evolution model (Jordan 91) using in situ data. A good linear relationship between the effective SGS in HUT and the evolution SGS was found. Then brightness temperature simulations are performed based on the effective SGS and evolution SGS. The results showed that the biases of the simulated brightness temperatures based on the effective SGS and evolution SGS were 6.5 and 3.6  K, respectively, for 18.7 GHz and 4.2 and 4.0  K for 36.5 GHz. Furthermore, the model is performed in six pixels with different land use/cover type in other areas. The results showed that the simulated brightness temperatures based on the evolution SGS were consistent with those from the satellite. Consequently, evolution SGS appears to be a simple method to obtain an appropriate SGS for the HUT model.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Lili Wu ; Xiaofeng Li ; Kai Zhao ; Xingming Zheng and Tao Jiang
"Brightness temperature simulation of snow cover based on snow grain size evolution using in situ data", J. Appl. Remote Sens. 10(3), 036016 (Aug 18, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.036016


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