欢迎访问中国科学院大学学报,今天是

中国科学院大学学报 ›› 2009, Vol. 26 ›› Issue (3): 383-388.DOI: 10.7523/j.issn.2095-6134.2009.3.013

• 论文 • 上一篇    下一篇

MODIS亚像元积雪覆盖率提取方法

周强1,2, 王世新1, 周艺1, 王丽涛1   

  1. 1. 中国科学院遥感应用研究所, 北京 100101;
    2. 中国科学院研究生院, 北京 100049
  • 收稿日期:2008-10-17 修回日期:2008-12-09 发布日期:2009-05-15
  • 通讯作者: 周强
  • 基金资助:

    中国科学院知识创新工程重要方向项目(KZCX2-YW-Q03-07)和HJ-1卫星数据应用研究专题(A01A13)资助 

Algorithm for MODIS subpixel snow fraction

ZHOU Qiang1,2, WANG Shi-Xin1, ZHOU Yi1, WANG Li-Tao1   

  1. 1. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;
    2. Graduate University of the Chinese Academy of Sciences, Beijing 100049, China
  • Received:2008-10-17 Revised:2008-12-09 Published:2009-05-15

摘要:

积雪覆盖区域,在全球能量平衡中发挥着重要作用.目前较常用的积雪覆盖率算法主要是利用雪盖率与雪盖指数(NDSI)间的关系建立统一的回归模型,但这种方法在完全雪盖区及稀疏雪盖区的反演精度较差.尝试通过分段建立模型反演雪盖率,并利用ETM+数据对模型估算结果进行验证.结果表明,分段模型可以有效提取亚像元尺度的信息,并且对NDSI高值区的雪盖率反演有一定的改善.

关键词: 中分辨率成像光谱仪, 雪盖率, 雪盖指数, 分段模型

Abstract:

The snow-covered area plays an important role in the global energy balance. The most popular retrieval algorithms are derived mainly from regression techniques using the normalized difference snow index(NDSI),but these methods are in low precision where the snow fraction is near 1 or 0. In this study, a segmentation model proposed to retrieve the snow fraction using moderate resolution imaging spectroradiometer(MODIS) datasets is finally validated by using the ETM+ imagery,which indicates that the fraction of snow cover within a MODIS pixel can be estimated effectively, and especially it can improve the precision in the area where the snow fraction is near 1.

Key words: MODIS, snow fraction, normalized difference snow index(NDSI), segmentation model

中图分类号: