A Study on the High-Speed Visualization for Large-Scale Forest Landscapes Based on the National Vegetation Survey Data

• AKAGI Yasuhiro

  東京農工大学

• KITAJIMA Katsuhiro

  東京農工大学

Bibliographic Information

Other Title

• 植生調査データに基づく大規模森林の表示高速化に関する研究
• ショクセイ チョウサ データ ニ モトズク ダイキボ シンリン ノ ヒョウジ コウソクカ ニ カンスル ケンキュウ

Abstract

Recently, Geographic Information System (GIS) was widely used for various purpose such as Cityscape Simulation. However, it is required to develop high-speed and large-scale visualization methods to make them work efficiently in practical use. In this paper, we concentrate on the high-speed visualization for large-scale forest landscapes, since it has never been dealt with. The proposed method has the following three characteristic features : (1) It procedurally generates a forest from data sets of the national vegetation survey of Japan. (2) It generates a vegetation boundary which represents a natural arrangement of trees in the forest by using a fractal noise function. (3) To realize high-speed visualization, we propose a generating method of trees which is suitable for parallel processing on GPUs. Several experiments show that the series of techniques can realize the high-speed visualization for large-scale forest landscapes generated from the national vegetation survey data.

Journal

• Journal of the Japan Society for Precision Engineering

  Journal of the Japan Society for Precision Engineering 77 (6), 587-593, 2011

  The Japan Society for Precision Engineering

Keywords

• GIS
• forest landscape
• tree generation
• GPU
• high-speed visualization
• large-scale visualization

Details

• CRID: 1390282679773258240
• NII Article ID: 130001362320
• NII Book ID: AN1003250X
• DOI: 10.2493/jjspe.77.587
• ISSN: 1882675X
• ISSN: 09120289
• NDL BIB ID: 11147591
• Web Site: http://id.ndl.go.jp/bib/11147591
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I11147591
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed