樹冠・立木密度・樹林高からみたヒノキ人工林の森林構造及び林内環境に関する研究(平成10年度 日本造園学会研究発表論文集(16))

朝廣 和夫, 小川 剛, 重松 敏則, 瀬戸島 政博, 牧田 史子

研究成果: ジャーナルへの寄稿記事

抄録

To identify the current situation of our rural land in the context of the limited natural resources and environmental capacity of the earth, it is necessary to develop a more practical vegetation mapping method based on image processing of aerial photographs than actual vegetation map. However, for the woodlands, it is impossible to identify floor vegetation coverage or growth from aerial photographs, except canopy tree figure such as crown size, tree stand density and tree height. Therefore, this study aims to analyze the relation between canopy tree conditions and floor vegetation coverage based on both image processing of aerial photographs and forest survey, as a case study in artificial forests of Chamaecyparis obtusa. In results, it became apparent that there were no sufficient floor vegetation under canopy trees less than at 2m tree stand interval and at 15m tree height. On the other hand, 2500 pixel square (about 187m^2 gray image were utilized from digital aerial photograph data, in order to count and calculate standard deviation from each gray image. In comparing it with the floor vegetation cover rate and tree height, the relationship between them were recognized. In conclusion, It was considered that standards deviation of gray image were possible to utilize as a factor of floor vegetation with forest stand structure.
元の言語Japanese
ページ(範囲)659-662
ページ数4
ジャーナルランドスケープ研究 : 日本造園学会誌 : journal of the Japanese Institute of Landscape Architecture
61
発行部数5
DOI
出版物ステータス出版済み - 3 30 1998

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aerial photograph
vegetation
canopy
image processing
vegetation mapping
mapping method
stand structure
vegetation cover
woodland
pixel
natural resource

これを引用

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title = "樹冠・立木密度・樹林高からみたヒノキ人工林の森林構造及び林内環境に関する研究(平成10年度 日本造園学会研究発表論文集(16))",
abstract = "To identify the current situation of our rural land in the context of the limited natural resources and environmental capacity of the earth, it is necessary to develop a more practical vegetation mapping method based on image processing of aerial photographs than actual vegetation map. However, for the woodlands, it is impossible to identify floor vegetation coverage or growth from aerial photographs, except canopy tree figure such as crown size, tree stand density and tree height. Therefore, this study aims to analyze the relation between canopy tree conditions and floor vegetation coverage based on both image processing of aerial photographs and forest survey, as a case study in artificial forests of Chamaecyparis obtusa. In results, it became apparent that there were no sufficient floor vegetation under canopy trees less than at 2m tree stand interval and at 15m tree height. On the other hand, 2500 pixel square (about 187m^2 gray image were utilized from digital aerial photograph data, in order to count and calculate standard deviation from each gray image. In comparing it with the floor vegetation cover rate and tree height, the relationship between them were recognized. In conclusion, It was considered that standards deviation of gray image were possible to utilize as a factor of floor vegetation with forest stand structure.",
author = "和夫 朝廣 and 剛 小川 and 敏則 重松 and 政博 瀬戸島 and 史子 牧田",
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AU - 朝廣, 和夫

AU - 小川, 剛

AU - 重松, 敏則

AU - 瀬戸島, 政博

AU - 牧田, 史子

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N2 - To identify the current situation of our rural land in the context of the limited natural resources and environmental capacity of the earth, it is necessary to develop a more practical vegetation mapping method based on image processing of aerial photographs than actual vegetation map. However, for the woodlands, it is impossible to identify floor vegetation coverage or growth from aerial photographs, except canopy tree figure such as crown size, tree stand density and tree height. Therefore, this study aims to analyze the relation between canopy tree conditions and floor vegetation coverage based on both image processing of aerial photographs and forest survey, as a case study in artificial forests of Chamaecyparis obtusa. In results, it became apparent that there were no sufficient floor vegetation under canopy trees less than at 2m tree stand interval and at 15m tree height. On the other hand, 2500 pixel square (about 187m^2 gray image were utilized from digital aerial photograph data, in order to count and calculate standard deviation from each gray image. In comparing it with the floor vegetation cover rate and tree height, the relationship between them were recognized. In conclusion, It was considered that standards deviation of gray image were possible to utilize as a factor of floor vegetation with forest stand structure.

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