Application note: Accuracy comparison of cabbage coverage estimated from remotely sensed imagery using an unmixing method

  • Authors:

  • Kazuo Oki;Masaru Mizoguchi;Kosuke Noborio;Koshi Yoshida;Kazutoshi Osawa;Shoichi Mitsuishi;Tetsu Ito

  • Affiliations:

  • Institute of Industrial Science, The University of Tokyo, 4-6-1, Komaba, Meguro-ku, Tokyo 153-8505, Japan;Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan;Graduate School of Agriculture, Meiji University, Japan;Graduate School of Agriculture, Ibaraki University, Japan;Graduate School of Agriculture, Utsunomiya University, Japan;Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan;Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan

  • Venue:
  • Computers and Electronics in Agriculture
  • Year:
  • 2011

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Abstract

In this study, accuracy comparisons of the cabbage coverage estimated from AVNIR-2 and QuickBird imagery using an unmixing method were carried out to increase the amount of remote sensing data obtained at different levels of spatial resolution on different observation days. The accuracy rates of the cabbage coverage estimated using an unmixing method from AVNIR-2 and QuickBird imagery were almost the same. This result is very interesting, because it shows that we may be able to evaluate cabbage coverage using remote sensing data obtained at different spatial resolutions on different observation days. Thus, it would be possible to use different remote sensing imagery systems to evaluate cabbage conditions during the growing period using this proposed method.