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一种简化的MODIS亚像元积雪信息提取方法
引用本文: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.
作者姓名:曹云刚  刘闯
作者单位:1. 中国科学院, 地理科学与资源研究所, 全球变化信息研究中心, 北京, 100101;2. 中国科学院, 研究生院, 北京, 100039
基金项目:科技部与欧空局合作项目 , 科技部资助项目
摘    要:遥感技术已逐步成为大范围内积雪信息提取的主要手段,但通常的遥感积雪像元识别算法使用二值判定的模式,这对于山区非连续分布的积雪监测能力较差.针对目前应用广泛的MODIS传感器数据,充分利用了雪盖指数在积雪监测中的重要性,并在考虑了地表覆盖的情况下,建立了像元雪盖率与雪盖指数、植被指数之间的线性关系模型,并利用ETM+数据对模型估算的雪盖率进行了验证.结果表明,该方法能有效地提取亚像元尺度的积雪信息.

关 键 词:雪盖率  雪盖指数  植被指数  
文章编号:1000-0240(2006)04-0562-06
收稿时间:11 16 2005 12:00AM
修稿时间:02 28 2006 12:00AM

A Simplified Algorithm for Extracting Subpixel Snow Cover Information from MODIS Data
CAO Yun-gang,LIU Chuang.A Simplified Algorithm for Extracting Subpixel Snow Cover Information from MODIS Data[J].Journal of Glaciology and Geocryology,2006,28(4):562-567.
Authors:CAO Yun-gang  LIU Chuang
Institution:1. Institute of Geographical Sciences and Natural Resources, Chinese Acadeny of Sciences, Beijing 100101, China;2. Graduate University of the Chinese Academy of Science, Beijing 100039, China
Abstract:Recently,remote sensing data become the most popular source for acquiring the snow cover information because of easy operation without in-situ investigation.There are many methods to extract snow cover information for various remote sensing data sources,but the results of them are binary images of snow cover.These methods are not suitable for monitoring snow cover in mountain regions.In this study,a simplified algorithm is put forward for MODIS data to get subpixel snow cover information based on the relationship between snow coverage and normalized difference snow index(NDSI),normalized difference vegetation index(NDVI).Finally,a validation for this algorithm using the result from ETM data has been carried out.This study indicates that the fraction of snow cover within a MODIS pixel can be estimate by the algorithm effectively.
Keywords:snow coverage  normalized difference snow index  normalized difference vegetation index
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