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Remote Sensing Technology and Application  2018, Vol. 33 Issue (2): 193-201    DOI: 10.11873/j.issn.1004-0323.2018.2.0193
    
Recently Research Progresses in Detecting Surface Soil Freeze-thaw Cycles with Passive Microwave Remote Sensing
Wang Baogang1,3,Jin Rui1,2,Zhao Zebin1,Kang Jian1,2
(1.Key Laboratory of Remote Sensing of Gansu Province,Northwest Institute of Eco\|Environmentand Resources,Chinese Academy of Sciences,Lanzhou 730000,China;2.Heihe Remote Sensing Experimental Research Station,Northwest Institute of Eco-Environmentand Resources,Chinese Academy of Sciences,Lanzhou 730000,China;3.University of Chinese Academy of Sciences,Beijing 100049 )
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Abstract  Surface soil freeze-thaw processes affect the energy and water exchange between the land surface and the atmosphere,hydrological cycle process and ecological system activity.It is obviously important to study the spatial distribution and temporal dynamics of surface soil freeze-thaw cycle,frozen depth,transition water content by the remote sensing technology,and their influences on and feedback with climate change.With the implementation of the SMOS and SMAP satellite projects,the L-band,with lower frequency,deeper penetration depth and stronger dielectric sensitivity,can be used to not only monitor the surface freeze-thaw cycles,but also to estimate the soil frozen depth,frozen velocity and phas-|change water content.Compared with the widely used C,X,Ku and Ka bands,L-band has a wider application potential.As a supplement,this paper reviewed soil freeze-thaw cycle with passive microwave remote sensing,including observation principle and advantage of L band,newly improved and developed algorithms,passive radiometers and so on,particularly focusing on the development and potential of the L-band.
Key words:  Freeze/Thaw processes      Dielectric constant      Passive microwave remote sensing      L-band     
Received:  19 October 2017      Published:  15 May 2018
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Wang Baogang
Jin Rui
Zhao Zebin
Kang Jian

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Wang Baogang,Jin Rui,Zhao Zebin,Kang Jian. Recently Research Progresses in Detecting Surface Soil Freeze-thaw Cycles with Passive Microwave Remote Sensing. Remote Sensing Technology and Application, 2018, 33(2): 193-201.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2018.2.0193     OR     http://www.rsta.ac.cn/EN/Y2018/V33/I2/193

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