Special Section on Progress in Snow Remote Sensing

Snow depth and snow cover retrieval from FengYun3B microwave radiation imagery based on a snow passive microwave unmixing method in Northeast China

[+] Author Affiliations
Lingjia Gu

Jilin University, College of Electronic Science & Engineering, Changchun 130012, China

Ruizhi Ren

Jilin University, College of Electronic Science & Engineering, Changchun 130012, China

Kai Zhao

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

Xiaofeng Li

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

J. Appl. Remote Sens. 8(1), 084682 (Nov 03, 2014). doi:10.1117/1.JRS.8.084682
History: Received June 2, 2014; Revised September 23, 2014; Accepted September 24, 2014
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Abstract.  The precision of snow parameter retrieval is unsatisfactory for current practical demands. The primary reason is because of the problem of mixed pixels that are caused by low spatial resolution of satellite passive microwave data. A snow passive microwave unmixing method is proposed in this paper, based on land cover type data and the antenna gain function of passive microwaves. The land cover type of Northeast China is partitioned into grass, farmland, bare soil, forest, and water body types. The component brightness temperatures (CBT), namely unmixed data, with 1 km data resolution are obtained using the proposed unmixing method. The snow depth determined by the CBT and three snow depth retrieval algorithms are validated through field measurements taken in forest and farmland areas of Northeast China in January 2012 and 2013. The results show that the overall of the retrieval precision of the snow depth is improved by 17% in farmland areas and 10% in forest areas when using the CBT in comparison with the mixed pixels. The snow cover results based on the CBT are compared with existing MODIS snow cover products. The results demonstrate that more snow cover information can be obtained with up to 86% accuracy.

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© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Lingjia Gu ; Ruizhi Ren ; Kai Zhao and Xiaofeng Li
"Snow depth and snow cover retrieval from FengYun3B microwave radiation imagery based on a snow passive microwave unmixing method in Northeast China", J. Appl. Remote Sens. 8(1), 084682 (Nov 03, 2014). ; http://dx.doi.org/10.1117/1.JRS.8.084682


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