衛星複合画像を用いた竹・樹木混生林の判読

• 張 福平

  岐阜大学大学院連合農学研究科

• 秋山 侃

  岐阜大学流域圏科学研究センター

• 魏 永芬

  岐阜大学流域圏科学研究センター

• 西條 好迪

  岐阜大学流域圏科学研究センター

• 河合 洋人

  岐阜大学大学院連合農学研究科

• 巴〓那

  岐阜大学大学院農学研究科

書誌事項

タイトル別名

• Extraction of the bamboo-tree mixed forest stands using the merged satellite image
• エイセイ フクゴウ ガゾウ オ モチイタ タケ ジュモク コンセイリン ノ ハンドク

抄録

The merged image of the high spatial and the high spectral resolution images could provide more information than each individual image. In this study, the feasibility of using the merged image to extract bambootree mixed forests was examined. To achieve this, the merged image was generated from SPOT PAN and Landsat ETM+ satellite images by applying IBS (Intensity- Hue-Saturation) transform, PCA (Principal Component Analysis), Multiplicative transform, and Brovey transform, respectively. The spectral and spatial information was thus evaluated. Among the four merged methods, IHS transform was proved the most effective to present useful information from original images. Besides, using the created merged images with all four merging methods, the land cover type was further classified by the maximum likelihood classifier method, overall extraction accuracy for the bamboo forest was shown to be 80.9%, 75.3%, 74.2% and 78.7%, respectively. Since the classified result displayed the presence of the bamboo forest in mixtures with different tree crown, the results were further interpreted with the aid of the aerial photographs. As a result, bamboo in the mixtures were determined and the occupation percentages of bamboo crown were grouped into four categories : above 90%, 70-90%, 50-70% and 30-50%. For all four categories, reclassification was performed and the extraction accuracy for bamboo forest were obtained as 80.0%, 71.1%, 62.2%, and 53.3%. The corresponding bamboo area ratio in each category against the whole bamboo area occupied by this type, mixed vegetation were 32.4%, 31.3%, 20.5% and 15.7%, respectively. Therefore, it is clear that using the merged image, a great part of the bamboo-tree mixed forest could be extracted in addition to pure bamboo forest; and it is also possible for better assessment of the current bamboo distribution situations and future expansion tendencies in local or larger basin areas.

収録刊行物

• 写真測量とリモートセンシング

  写真測量とリモートセンシング 45 (2), 5-15, 2006

  一般社団法人 日本写真測量学会

キーワード

• bamboo-tree mixed forest
• IHS conversion
• Landsat ETM+
• merged image
• SPOT PAN

詳細情報

• CRID: 1390001204077244288
• NII論文ID: 10019600544
• NII書誌ID: AN00111450
• DOI: 10.4287/jsprs.45.2_5
• ISSN: 18839061
• ISSN: 02855844
• ISSN: http://id.crossref.org/issn/02855844
• HANDLE: 20.500.12099/27964
• NDL書誌ID: 7901967
• Web Site: https://gifu-u.repo.nii.ac.jp/records/78069
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I7901967
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • IRDB
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可