Snow grain size retrieval SGSP from optical satellite data: Validation with ground measurements and detection of snow fall events

Heidrun Wiebe*, Georg Heygster, Eleonora Zege, Teruo Aoki, Masahiro Hori

*この論文の責任著者

研究成果: ジャーナルへの寄稿学術論文査読

29 被引用数 (Scopus)

抄録

The size of snow grains plays an important role for modeling the snow albedo in polar regions. The Snow Grain Size and Pollution (SGSP) retrieval computes the snow grain size using spectral reflectances from the Moderate Imaging Spectrometer (MODIS): the channels at 0.47. μm, 0.86. μm, and 1.24. μm. The unique feature of the SGSP retrieval is that it does not require a-priori information on the snow grain shape.In this paper, the SGSP-retrieved snow grain size is validated with six data sets from ground measurement campaigns in the Arctic, the Antarctic, Greenland, and Japan. Almost half of the comparison cases have a difference below 15%; the correlation coefficient is 0.86. The application of the SGSP retrieval on the Antarctic Ross ice shelf demonstrates the potential to detect snow fall events by analyzing the snow grain size time series for sudden grain size decreases.

本文言語英語
ページ(範囲)11-20
ページ数10
ジャーナルRemote Sensing of Environment
128
DOI
出版ステータス出版済み - 2013/01/21

ASJC Scopus 主題領域

  • 土壌科学
  • 地質学
  • 地球科学におけるコンピュータ

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