Algorithm for MODIS subpixel snow fraction

doi:10.7523/j.issn.2095-6134.2009.3.013

Abstract

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

CLC Number:

P407.8

ZHOU Qiang, WANG Shi-Xin, ZHOU Yi, WANG Li-Tao. Algorithm for MODIS subpixel snow fraction[J]. , 2009, 26(3): 383-388.

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