Mapping of Mixing Ratio of Deciduous Broadleaves in Sugi Cedar Plantations in a Heavy Snow Area: An Analysis Using Landsat TM Data and Forest Management Information.

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  • Awaya Y.
    Forestry and Forest Products Research Institute
  • Nishizono T.
    Tohoku Research Center, Forestry and Forest Products Research Institute

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Other Title
  • 「森林計画最前線―緑豊かな森林の育成を目指した最新研究―」多雪地域スギ人工林での落葉広葉樹混交実態の把握―ランドサットＴＭデータと森林調査簿情報を用いた解析―
  • タセツ チイキ スギ ジンコウリン デ ノ ラクヨウ コウヨウジュ コンコウ ジッタイ ノ ハアク ランドサット TM データ ト シンリン チョウサボ ジョウホウ オ モチイタ カイセキ
  • An Analysis Using Landsat TM Data and Forest Management Information
  • ランドサットTMデータと森林調査簿情報を用いた解析

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Abstract

To understand environmental effects on cedar growth, the ratio of deciduous broadleaves in cedar plantations was analyzed using a simple and generalized method. A forest type map of four forest classes (Evergreen, Mixed-A, Mixed-B, and Deciduous) was created using forest management information in a geographical information system. Topographic effects in two TM images taken in June 1994 and September 1996 were removed using the pattern decomposition method. The surface area in the images was classified by the ISODATA method into 25 categories, which were grouped into 7 classes including the 4 forest classes by reference to the forest type map. A classification map was created by assigning each pixel to either the evergreen or deciduous class. Finally, sub-compartments were classified as evergreen, mixed or deciduous classes based on the ratio of deciduous pixels in the sub-compartments. The accuracy index, KHAT, was 0.773. The classification map showed that the ratio of deciduous pixels was higher in forests on steeper slopes, and increased at elevations over 800 m. These results suggest that snow gliding, deep snow and cold air temperature inhibited cedar growth. The resultant map showed the mixing ratio of deciduous trees in cedar plantations, which should be useful for forest management, such as finding suitable areas for cedar plantations.

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