Estimation of Snow Depth in Kushiro Area Using L-Band SAR Imagery

DOI Web Site Web Site 参考文献1件
  • OKI Kazuo
    Department of Biological and Environmental Engineering, Graduate School of Agricultural and Life Sciences, The University of Tokyo
  • KATO Ikuro
    Department of Biological and Environmental Engineering, Graduate School of Agricultural and Life Sciences, The University of Tokyo
  • OMASA Kenji
    Department of Biological and Environmental Engineering, Graduate School of Agricultural and Life Sciences, The University of Tokyo

この論文をさがす

抄録

In this paper, snow depth in Kushiro area, the largest wetland in Japan, was estimated using L-Band SAR imagery. The SAR imagery can be used to observe land condition regardless of the weather condition. The accuracy of SAR however, is affected by topography or surface roughness. To remove the effects of topography or surface roughness, we applied the principal component analysis (PCA) to the SAR imagery. As a result, it was found that the proposed method could effectively estimate snow depth using SAR imagery because one principal component image of SAR calculated by PCA include the snow depth information without the effects of topography or surface roughness.

収録刊行物

  • 農業気象

    農業気象 60 (6), 1219-1221, 2005

    日本農業気象学会

参考文献 (1)*注記

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ