Estimation of the distribution and coverage of seagrasses using field observation data and satellite imagery

• KYODA Junichi

  Port and Airport Research Institute

• HOSOKAWA Shinya

  Ministry of Land,Infrastructure, Transport and Tourism

• WATANABE Kentaro

  Hokkaido University

• NAKAOKA Masahiro

  Hokkaido University

• SHIBANUMA Seiichiro

  Hokkaido University

• MONTANI Shigeru

  Hokkaido University

• KUWAE Tomohiro

  Port and Airport Research Institute

Bibliographic Information

Other Title

• 現地観測データと衛星画像を用いた海草藻場の分布域と被度の推定
• ゲンチ カンソク データ ト エイセイ ガゾウ オ モチイタ カイソウ モバ ノ ブンプイキ ト ヒド ノ スイテイ

Abstract

Quantification of the distribution and activity of shallow water vegetation is important given that such vegetation provide a variety of ecosystem functions and services. We estimated the distribution and coverage of seagrass patches using both GIS and high-resolution multi-band satellite imagery. The estimation accuracy of the distribution was greatly improved when field observation data were incorporated into the image analyses. However, supervised classification is greatly affected by "training data". Thus, it is still necessary to develop a valid method for the choice of "training data" in order to improve the analysis results.

Journal

• Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering)

  Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering) 68 (2), I_1466-I_1470, 2012

  Japan Society of Civil Engineers

Keywords

• restoration
• GIS
• supervised classification
• Zostera marina

Details

• CRID: 1390282680296117376
• NII Article ID: 130004550744
• NII Book ID: AA12508551
• DOI: 10.2208/kaigan.68.i_1466
• ISSN: 18838944
• ISSN: 18842399
• NDL BIB ID: 024139114
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I024139114
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed