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《Remote Sensing Technology and Application》 2017-01
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The Improvement of Using Gamma-ray Detect Snow Water Equivalent

Ma Yuan;Li Hongyi;Zhang Pu;Liu Dafeng;Huang Xiaodong;Hao Xiaohua;Shao Donghang;Wang Jian;State Key Laboratory of Grassland Agro-ecosystems,College of Pastoral Agriculture Science and Technology,Lanzhou University;Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences;Xinjiang Meteorological Service,China Meteorological Administration;Altay National Reference Climatological Station at Xinjiang;  
Gamma-ray from soil after the attenuation of snow,can accurately measure the surface snow water equivalent of a wide range,and this method has the advantage of without destroying the surface features.However,the changes in measuring geographical bring agreat influence in accuracy of it.In order to improve the precision of snow water equivalent measured by gamma(Gamma),in this paper,considering the disturbance of soil moisture to the measurements and the geographical parameters of features.After the calibration of parameters,the inversion algorithm has been improved.The result shows that,after calibration of gamma-ray measurement is comparable to manual measurement accuracy.When using gamma ray to measure snow water equivalent,taking into account the effect of soil moisture changes can more accurately retrieving the snow water equivalent of surface.It can be concluded that improved inversion inversion of good snow water equivalent,higher accuracy.Thus,Gamma-ray detection technology in snow area has a good prospect of water resources research.
【Fund】: 国家自然科学基金项目(41471358、41471291、41571371)
【CateGory Index】: P407
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