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Remote Sensing Technology and Application  2008, Vol. 23 Issue (2): 195-201    DOI: 10.11873/j.issn.1004-0323.2008.2.195
article     
Retrieval and Validation of MODIS Subpixel Snow Fraction in Northeast China
JIN Cui 1,2, ZHANG Bai 1, LIU Dian-wei 1, SONG Kai-shan 1, LI Fang 1
(1. Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences,
 Changchun 130012,China|2. Graduate School, Chinese Academy of Sciences, Beijing 100049, China )
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Abstract  

Using CBERS-2 CCD data as "ground truth" images and based on the characters of geographic environment and climate in Northeast China, this paper modified the parameters of Salomoson's subpixel snow cover fraction model, retrieved the subpixel snow cover fraction from MODIS data and analyzed the stability and accuracy of the revised model with different ways. The result shows that the modified Salomoson model has stability in different geomorphology\|landscape unit, and the little fluctuation comes from the difference of snow physical character, atmospheric effects, and the errors of snow classification images and image registration. In the Northeast Plain, when NDSI ranges from 0.52 to 0.65, the accuracy of modified model is high. However, because NDSI is based on the non-linear transformation of band reflectance, snow cover fraction is little underestimated. The pixels, snow cover fraction of which is overestimated, are located in suburb and rural residential area. In contrast, the pixels, covering cities, towns and roads have a higher accuracy. The main reason is that human activity frequency influences the degree of spectral character difference between snow part and non\|snow part in one MODIS pixel. In comparison with MODIS snow products (MOD10A2), snow cover fraction provides much richer information than the traditional snow cover mapping methods, but both of them don't give the exact estimation of snow cover fraction in forest zone.

Key words:  MODIS      Snow coverage fraction      Normalized difference snow index      Northeast China     
Received:  06 November 2007      Published:  24 October 2011
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Cite this article: 

JIN Cui, ZHANG Bai, LIU Dian-wei, SONG Kai-shan, LI Fang. Retrieval and Validation of MODIS Subpixel Snow Fraction in Northeast China. Remote Sensing Technology and Application, 2008, 23(2): 195-201.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2008.2.195     OR     http://www.rsta.ac.cn/EN/Y2008/V23/I2/195

[1] Wang J.Comparison and Analysis on Methods of Snow Cover Mapping by Using Satellite Remote Sensing Data[J].Remote Sensing Technology and Application,1999,14(4):29-36.[王建.卫星遥感雪盖制图方法对比与分析[J].遥感技术与应用,1999,14(4):29-36.]
[2] Bai Y C,Feng X Z.Introduction to Some Research Work on Snow Remote Sensing[J].Remote Sensing Technology and Application,1994,12 (2):59-65.[柏延臣,冯学智.积雪遥感动态研究的现状及展望[J].遥感技术与应用,1994,12(2):59-65.]
[3] Hall D K,Riggs G A,Salomonson V V.Development of Methods for Mapping Global Snow Cover Using Moderate Resolution Imaging Spectroradiometer Data[J].Remote Sensing of Environment,1995,54:127-140.
[4] Zhang J,Feng S Q,Xu W X.Application of Snow Monitoring Based on MODIS Data in Qinghai[J].Qing Hai Meteorology,2006,1:55-56. [张娟,冯蜀青,徐维新. MODIS数据在青海省积雪监测中的应用[J].青海气象, 2006, 1:55-56.]
[5] Xu H.Application of Snow Monitoring Based on MODIS Data in Yun Nan[J].Yunnan Geographic Environment Research,2007,19(1):60-63.[徐虹. MODIS数据在青海省积雪监测中的应用[J].云南地理环境研究,2007,19(1):60-63.]
[6] Zhang X B,Kang W M,Tian P J,et al.Application of EOS/MODIS Remote Sensing to Snow Cover in Guizhou [J].Guizhou Agricultural Sciences,2005,33(3):60-61.[郑小波,康为民,田鹏举,等.EOS/MODIS遥感在贵州积雪监测中的应用[J].贵州农业科学,2005,33(3):60-61. ]
[7] Fang M R,Tian Q J,Li Y C,et al.Snow Information Extraction and Dynamic Changes Analysis of Tibet Based on MODIS Data[J].Geo-Information Science,2005(4):10-14.[方墨人,田庆久,李英成,等.青藏高原MODIS图像冰雪信息挖掘与动态检测分析[J].地球信息科学,2005(4):10-14.]
[8] Painter T H,Dozier J,Roberts D A,etal.Retrieval of Subpixel Snow-covered Area and Grain Size from Imaging Spectrometer Data[J].Remote Sensing of Environment,2003,85:64-77.
[9] Vikhamar D,Solberg R.Subpixel Mapping of Snow Cover in Forests by Optical Remote Sensing [J].Remote Sensing of Environment,2002,84:69-82.
[10] Salomoson V V,Appel I.Estimating Fractional Snow Cover from MODIS Using the Normalized Difference Snow Index [J].Remote Sensing of Environment,2004,89:351-360.
[11] Cao Y G,Liu C.A Simplified Algorithm for Extracting Subpixel Snow Cover Information from MODIS Data[J].Journal of Glaciology and Geocryology,2006,28(4):562-567.[曹云刚,刘闯.一种简化的MODIS亚像元积雪信息提取方法[J].冰川冻土,2006,28(4):562-567.]
[12] Members of the MODIS Characterization Support Team.MODIS Level l B Product Users Guide for Level l B Version 4.3.0 (Terra) and Version 4.3.1(Aqua)[R].Greenbelt: NASA/Goddard Space Flight Center,2003:1-60.
[13] Wiscombe W J,Warren S G.A Model for Spectral Albedo of Snow.Ⅰ: Pure Snow[J]. Journal of the Atmospheric Sciences,1980,37(12):2712-2733.

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