Wetland Vegetation Classification using Multitemporal LANDSAT TM images.

• YAMAGATA Yoshiki

  国立環境研究所

• OGUMA Hiroyuki

  宇宙開発事業団

• FUJITA Hiroko

  北海道大学

Bibliographic Information

Other Title

• 多時期のランドサットＴＭ画像を用いた湿原植生分類
• タ ジキ ノ ランドサット TM ガゾウ オ モチイタ シツゲン ショクセイ

Abstract

Wetland monitoring and especially wetland vegetation classification are crucial for preserving valuable wetland ecosystems. The development of remote sensing technique for wetland monitoring is of urgent necessity. In order to improve the accuracy of vegetation classification, we have investigated the wetland vegetation classification using multi-temporal Landsat TM images. Because the growth pattern of a wetland vegetation changes according to the vegetation type, we can used this difference of temporal growth pattern which appear in the multitemporal images for classifying the vegetation types. In order to clarify this temporal growth pattern of wetland vegetation types, we have conducted sampling experiments to measure the biomass growth during the growing season. And also spectral reflectance measurements were conducted to see the spectral difference between the vegetation types as well. As the result of supervised classifications using the multitemporal Landsat TM image, an accurate wetland vegetation classification map has been produced.

Journal

• Journal of the Japan society of photogrammetry and remote sensing

  Journal of the Japan society of photogrammetry and remote sensing 35 (4), 9-17, 1996

  Japan Society of Photogrammetry and Remote Sensing

Details

• CRID: 1390282679054638208
• NII Article ID: 10002049939
• NII Article ID: 10003198425
• NII Book ID: AN00111450
• DOI: 10.4287/jsprs.35.4_9
• ISSN: 18839061
• ISSN: 02855844
• ISSN: http://id.crossref.org/issn/02855844
• NDL BIB ID: 4027899
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I4027899
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed