Review of snow grain size retrieval from remote sensing

作     者：ZhongMing Guo HongBo Wu RuiJuan Mao ChunWen Zhang YuWei Wu 

作者机构：State Key Laboratory of Cryospheric Science Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences 

出 版 物：《Research in Cold and Arid Regions》 (寒旱区科学（英文版）)

年 卷 期：2013年第5卷第2期

页      面：251-258页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学] 

基　　金：provided by National Science Fundamental Key Project(40930526,40901041) Science Research Program of Global Change Research of China(Grant No.2010CB951404) 

主　　题：snow grain size remote sensing retrieval model algorithm 

摘      要：In this paper, the significance and history of studying snow grain size is introduced. Based on the assumption that high reflectivity in the visible band and significant decreasing reflectivity of snow surface in the infrared band, the grain size of snow, spherical and non-spherical, is sensitive to changes in remote sensing retrieval foundation. Also, models and algorithms applied in current studies are reviewed, together with their advantages and disadvantages. In addition, in order to obtain retrieval accuracy, some factors that may affect grain size are also discussed, such as temperature, wavelength, arid particle shape, as well as method authentication.