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冰川冻土 ›› 2006, Vol. 28 ›› Issue (4): 562-567.

• 冰冻圈与全球变化 • 上一篇    下一篇

一种简化的MODIS亚像元积雪信息提取方法

曹云刚1,2, 刘闯1   

  1. 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
  • 收稿日期:2005-11-16 修回日期:2006-02-28 出版日期:2006-08-25 发布日期:2012-04-26
  • 基金资助:
    国家科技部与欧空局合作项目(PRA-T02-02);国家科技部项目(2003DKA1T007)资助

A Simplified Algorithm for Extracting Subpixel Snow Cover Information from MODIS Data

CAO Yun-gang1,2, LIU Chuang1   

  1. 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
  • Received:2005-11-16 Revised:2006-02-28 Online:2006-08-25 Published:2012-04-26

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

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.

Key words: snow coverage, normalized difference snow index, normalized difference vegetation index

中图分类号: 

  • P407.8