A Kind of Snow Grains and Shape Parameters Retrieval New Algorithm Based on Spectral Library
WANG Jie1, 2, 3, HUANG Chun-lin1*, WANG Jian1, CAO Yong-pan1,2, HAO Xiao-hua1
1. Cold and Arid Regions Environmental and Engineering Research Institute, Lanzhou 730000, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. College of Land and Resources, China West Normal University, Nanchong 637009, China
Abstract：Snow grain sizes retrieval accuracy was affected by many factors wile snow shape was an important factor. Asymptotic radiative transfer (ART) model used a digital simulation and asymptotic technology to simplify radiative transfer models, which was widely used to reverse snow grain. ART model considered two snow shape parameters, which depended on the snow grain shape and asymmetry (considering 3.62 for fractal particles; and 4.53 for spheres particles). In reversing snow grain processing of ART, the shape parameters were determined beforehand, but in nature snow particles might take on different shapes, and ART couldn't accurately reverse snow grain sizes with single shape parameter. In order to accurately reverse snow grain sizes, snow grain sizes and shape parameters must be obtained simultaneously. Based on ART model, a Look- Up- Table Minimal Angle model was proposed to solve the problem. The new model could obtain the shape parameter values and snow grain sizes simultaneously, solving the problem of determining shape parameter value beforehand, which determined the shape parameter values automatically. Experimental results showed that new model could accurately retrieve snow particle sizes, which were more consistent with field validation datas.
王 杰，黄春林，王 建，曹永攀，郝晓华. 一种基于光谱库的雪粒径及形状参数反演新方法[J]. 光谱学与光谱分析, 2017, 37(05): 1502-1506.
WANG Jie, HUANG Chun-lin, WANG Jian, CAO Yong-pan, HAO Xiao-hua. A Kind of Snow Grains and Shape Parameters Retrieval New Algorithm Based on Spectral Library. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(05): 1502-1506.
[1] Wiscombe W J, Warren S G. J. Atmos. Sci., 1980, 37(2): 2712.
[2] Stamnes K, Tsay S C, Wiscombe W, et al. Appl. Opti., 1998, 27(12): 2502.
[3] Yang P, Liou K N. Appl. Opti., 1996, 35(33): 6568.
[4] Kokhanovsky A A，Zege E P. Appl. Opti., 2004, 43(7): 1589.
[5] Zege E P, Katsev I K, Malinka A V, et al. Ann. Glaciol., 2008, 49(1): 139.
[6] Lyapustin A, Tedesco M, Wang Y, et al. Remote Sens. Environ., 2009, 113(9): 1976.
[7] Kokhanovsky A A, Aoki T, Hachikubo A, et al. IEEE Trans. on Geosci. Remote Sens., 2005, 43(7): 1529.
[8] Warren S G，Brandt R E. J. Geophys. Res., 2008, 113：D114220.
[9] Freund Y, Shapire R E. J. Comput. Syst. Sci., 1997, 55(1): 119.
[10] Canty M J. Computers & Geosciences, 2009, 35(6): 1280.
[11] YANG Zhen-niang, YANG Zhi-huai, LIANG Feng-xian(杨针娘, 杨志怀, 梁凤仙). Journal of Glaciology and Geocryology(冰川冻土), 1993, 15(2): 235.
[12] Anderson G P, Pukall B, Allred C L, et al. Aerospace Conference Proceedings IEEE, 1999, 4: 177.
[13] Teillet P M, Guindon B, Goodenough D G. Canadian Journal of Remote Sensing, 1982, 8: 84.
[14] Mtzler C. J. Glaciol., 2002, 48(162): 461.
[15] Durand M, Edward K，Steven M. IEEE Trans. on Geosci. Remote Sens., 2008, 46(6): 1753.
[16] Wiebe H, Heygster G, Zege E P, et al. Remote Sens. Environ., 2013, 128: 11.
