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Remote Sensing Technology and Application  2009, Vol. 24 Issue (6): 715-721    DOI: 10.11873/j.issn.1004-0323.2009.6.715
    
Detection of Snow and Frost in Southern China,January 2008 Using AMSR-E Scattering and Polarization Indices
JIN Ya-qiu1,CHEN Hao1,GU Song-yan2
1.Key Laboratory of Wave Scattering and Remote Sensing Information (MOE)Fudan University, Shanghai 200433,China;
2.Center for Satellite Meteorology,Beijing 100081,China
       
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Abstract  

All weather and all time microwave remote sensing is one of most effective means to monitor natural disasters.Multi-channel brightness temperature from satellite-borne passive microwave remote sensing has played important role to retrieve quantitative physical information on global and regional weather and climate,atmospheric precipitation,land hydrology,oceanic surface winds,etc. However,during serious snowing and frost in usually warming southern China,January 2008,the operational algorithm of multi-channel brightness temperature failed to detect the snowing.In this paper,based on simulation of vector radiative transfer of a layer of snow,we present the characteristic indices of scattering and polarization differences,average indices in previous year under normal situation,and change of antecedent index.A new logic tree is presented to effectively detect the regional snow and frost disaster in southern China.

Key words:         Passive microwave remote sensing      Multi-channel TB      Polarization index      Scattering index      Snowpack and frost      Detection logic tree      
Received:  24 August 2009      Published:  06 January 2012
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JIN Ya-Qiu
CHEN Hao
GU Song-Yan

Cite this article: 

JIN Ya-Qiu, CHEN Hao, GU Song-Yan. Detection of Snow and Frost in Southern China,January 2008 Using AMSR-E Scattering and Polarization Indices. Remote Sensing Technology and Application, 2009, 24(6): 715-721.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2009.6.715     OR     http://www.rsta.ac.cn/EN/Y2009/V24/I6/715

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