收稿日期: 2008-10-17
修回日期: 2008-12-09
网络出版日期: 2009-05-15
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
Received date: 2008-10-17
Revised date: 2008-12-09
Online published: 2009-05-15
周强 , 王世新 , 周艺 , 王丽涛 . MODIS亚像元积雪覆盖率提取方法[J]. 中国科学院大学学报, 2009 , 26(3) : 383 -388 . DOI: 10.7523/j.issn.2095-6134.2009.3.013
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.
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