Proposal of a Vegetation Index (raNDVI) Based on Reflectance Adjustment Method using Soil Line and Full Vegetation Cover Line

DOI Web Site 12 References
  • Naito Hiroki
    University of Tokyo, Graduate School of Agricultural and Life Sciences
  • Shimizu Yo
    University of Tokyo, Graduate School of Agricultural and Life Sciences
  • Omasa Kenji
    University of Tokyo, Graduate School of Agricultural and Life Sciences

Bibliographic Information

Other Title
  • 土壌線と最大植生被覆線を利用した反射率補正法に基づく植生指数 (raNDVI) の提案
  • ドジョウセン ト サイダイショクセイ ヒフクセン オ リヨウ シタ ハンシャリツ ホセイホウ ニ モトズク ショクセイ シスウ(raNDVI)ノ テイアン

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Abstract

To reduce irremovable radiometric distortion on images observed with remote sensing sensors, reflectance adjustment approach based on the positional relationship between soil line and full vegetation cover line in red reflectance (R ) and near infrared reflectance (NIR ) space and raNDVI (Reflectance-adjusted Normalized Difference Vegetation Index) were proposed. The raNDVI was subsequently compared its reflectance adjustment effect with other conventional vegetation indices, NDVI, SAVI and MSAVI by evaluating errors of each pixel value between two years in three different vegetation type regions. As a result of this experiment, it confirmed that the proposed approach properly corrected the ratio of R to NIR  for unifying the vegetation index values in the preserved vegetation areas. It is also showed that this method had suitably changed the length and direction of the reflectance correction according to the positional gap between whole scatter plots and origin of R, NIR  feature space on each image.

Journal

  • Eco-Engineering

    Eco-Engineering 24 (1), 13-19, 2012

    The Society of Eco-Engineering

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