Ground Truth Data Collection from the Land Use / Land Cover Classification Data Prepared by the Existing Project

• SATO Hiroshi P.

  国土地理院

• TATEISHI Ryutaro

  千葉大学

• XIAO Jieying

  河北科技大学

• IWAHASHI Junko

  国土地理院

Bibliographic Information

Other Title

• 既存のプロジェクトによる土地利用／土地被覆分類データからのグランドトゥルースデータの抽出
• キソン ノ プロジェクト ニ ヨル トチ リヨウ トチ ヒフク ブンルイ データ カラノ グランド トゥルース データ ノ チュウシュツ

Abstract

In supervised classification of land cover, ground truth data are used as training data for classification, or for post-classification validation of data. In classifying a large area, it is difficult to collect enough ground truth data. This study proposed a method of collecting ground truth data using both existing land cover data and existing land use data. By combining these two types of data, more reliable regions can be extracted as ground truth data. Using ground truth data collected by this method in China, a larger region was classified as a trial. The classification accuracy was 81% when the results were evaluated using the ground truth data. For the practical use, combining the ground truth data collected by the proposed method with those collected by the other method is recommended to enrich ground truth data inventories.

Journal

• Map, Journal of the Japan Cartographers Association

  Map, Journal of the Japan Cartographers Association 45 (4), 12-21, 2007

  Japan Cartographers Association

Keywords

• グランドトゥルース
• 上地利川
• 土地被覆

Details

• CRID: 1390001204491022976
• NII Article ID: 10021086099
• NII Book ID: AN00142024
• DOI: 10.11212/jjca1963.45.4_12
• ISSN: 2185646X
• ISSN: 00094897
• NDL BIB ID: 9379742
• Web Site: http://id.ndl.go.jp/bib/9379742
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I9379742
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed