Tree Crown Analysis with Local Fractal Dimension Using an Aerial Image.

• KOMURA Ryotaro

  Division of Mathematics and Information Sciences, Graduate School of Natural Science and Technology, Kanazawa University

• KUBO Mamoru

  Department of Information Systems, Faculty of Engineering, Kanazawa University

• MURAMOTO Ken-ichiro

  Division of Mathematics and Information Sciences, Graduate School of Natural Science and Technology, Kanazawa University

Bibliographic Information

Other Title

• 空撮画像を用いた局所フラクタル次元による樹冠解析
• クウサツガゾウ オ モチイタ キョクショ フラクタルジゲン ニ ヨル ジュカン カイセキ

Abstract

Forests play an important role in maintaining environmental conditions suitable for life on the earth. Forests have seasonal cycles and change from year to year. External factors such as harmful insects may cause damage, and the surrounding conditions are not constant. All these factors have an effect on the tree crown, therefore crown size measurement is an important task in forest management. The goal of this study was to measure the distribution of the tree crown size in the forest including closed canopies by image processing methods. We assumed that one crown consists of leaves and branches of similar color and that there are shadow areas around the crowns. Additionally each crown grows differently and has different structure. These features are used to identify a circular crown area. The size of a circle representing the crown is computed using the brightness distribution and local fractal dimension within the circular area. To measure the crown size distribution, forest was photographed from a helicopter, and the images were analyzed using the suggested technique. Comparing the analysis results and visual inspection of the same area, we concluded that the proposed technique was effective for measuring the crown size distribution.

Journal

• Journal of the Japan society of photogrammetry and remote sensing

  Journal of the Japan society of photogrammetry and remote sensing 42 (4), 27-37, 2003

  Japan Society of Photogrammetry and Remote Sensing

Details

• CRID: 1390282679054048768
• NII Article ID: 10030895765
• NII Book ID: AN00111450
• DOI: 10.4287/jsprs.42.4_27
• ISSN: 18839061
• ISSN: 02855844
• ISSN: http://id.crossref.org/issn/02855844
• NDL BIB ID: 6695659
• Web Site: http://id.ndl.go.jp/bib/6695659
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I6695659
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed