GRASPING METHOD OF THE PATTERN AND LEVEL OF THE AGGLOMERATION OF LAND USE USING REMOTE-SENSING DATA : Case of West Aichi

• MOCHIZUKI Fumiko

  Asahi Kasei Homes Corporation

• SHIMIZU Hiroyuki

  Graduate School of Environmental Studies, Nagoya Univ.

• ARIGA Takashi

  Graduate School of Science and Engineering, Waseda University

• MINAMI Junichiro

  Graduate School of Environmental Studies, Nagoya University

Bibliographic Information

Other Title

• リモートセンシングデータを用いた土地利用の集塊性把握の手法に関する研究 : 愛知県西部を事例として
• リモートセンシング データ オ モチイタ トチ リヨウ ノ シュウカイセイ ハアク ノ シュホウ ニ カンスル ケンキュウ アイチケン セイブ オ ジレイ ト シテ

Abstract

The aim of this paper is to propose the grasping method of the pattern and level of the agglomeration of land use using remote-sensing data. Using "CN Index" developed by Kobayashi et al. we propose a new Index, "Distance Index", which can clarify the level of the agglomeration of land use of a large regional area. DI Index is a potential value calculated based on distribution of CN index. In the paper firstly we abstracted the pattern of land use by classification from their land-surface situation using remote-sensing data of West Aichi. Secondly we measured the DI Index. Then we checked the land use pattern of West Aichi using DI Index and considered the feature. As a result by using DI Index the level of the agglomeration of land use could be classified comparatively clearly and especially the shape of the edge of agglomeration could be figured.

Journal

• Journal of Architecture and Planning (Transactions of AIJ)

  Journal of Architecture and Planning (Transactions of AIJ) 72 (617), 47-54, 2007

  Architectural Institute of Japan

Keywords

• remote-sensing
• land use
• agglomeration
• grid data
• distribution characteristics

Details

• CRID: 1390282679761916928
• NII Article ID: 110006317762
• NII Book ID: AN10438548
• DOI: 10.3130/aija.72.47_2
• ISSN: 18818161
• ISSN: 13404210
• ISSN: http://id.crossref.org/issn/13404210
• NDL BIB ID: 8792256
• Web Site: http://id.ndl.go.jp/bib/8792256
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I8792256
• Web Site: https://www.jstage.jst.go.jp/article/aija/72/617/72_KJ00004621741/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed