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  1. 紀要論文
  2. 琉球大学農学部学術報告
  3. 43号
  1. 部局別インデックス
  2. 農学部

南西諸島における荒廃原野の育林技術に関する基礎的研究 : 1 LANDSAT-TM データによるギンネム原野のエリア区分について(生物生産学科)

http://hdl.handle.net/20.500.12000/3728
http://hdl.handle.net/20.500.12000/3728
6d3af39e-596d-43ad-a70f-eb7b14db6ce3
名前 / ファイル ライセンス アクション
KJ00000161799.pdf KJ00000161799.pdf
Item type デフォルトアイテムタイプ(フル)(1)
公開日 2008-02-14
タイトル
タイトル 南西諸島における荒廃原野の育林技術に関する基礎的研究 : 1 LANDSAT-TM データによるギンネム原野のエリア区分について(生物生産学科)
言語 ja
作成者 安里, 練雄

× 安里, 練雄

ja 安里, 練雄

狩野, 渉

× 狩野, 渉

ja 狩野, 渉

平田, 永二

× 平田, 永二

ja 平田, 永二

寺園, 隆一

× 寺園, 隆一

ja 寺園, 隆一

生沢, 均

× 生沢, 均

ja 生沢, 均

Asato, Isao

× Asato, Isao

en Asato, Isao

Karino, Wataru

× Karino, Wataru

en Karino, Wataru

Hirata, Eiji

× Hirata, Eiji

en Hirata, Eiji

Terazono, Ryuichi

× Terazono, Ryuichi

en Terazono, Ryuichi

Ikuzawa, Hitoshi

× Ikuzawa, Hitoshi

en Ikuzawa, Hitoshi

アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
主題
言語 ja
主題Scheme Other
主題 荒廃原野
言語 ja
主題Scheme Other
主題 育林施業
言語 ja
主題Scheme Other
主題 ギンネム原野
言語 ja
主題Scheme Other
主題 リモートセンシング
言語 ja
主題Scheme Other
主題 LANDSAT-TMデータ
内容記述
内容記述タイプ Other
内容記述 荒廃原野の育林技術に関する研究の一環として,小規模のギンネム原野について,ランドサット衛星のリモートセンシングデータを用いてエリア区分を試みた。1. 沖縄島南端部に,600×600mの解析対象区域を設定し,その中の小規模ギンネム原野を空中写真と現地調査で図面上に区画した。2. 対象区域を含む735haのトレーニングエリアについて,ランドサットTMデータを用いてクラスタリングを行い,その結果と実際の分布とを比較した。3. 32クラスでのクラスタリングの結果,クラス3,4,5で分類される区域がギンネム原野に関連ずけされた。4. クラスタリングでギンネム原野を概略的に区分することはできる。しかし,一部のギンネム原野を分類できなかったり,他の植生をギンネム原野と誤って分類することもある。5. ランドサットTMデータを利用して,1ha未満の小規模ギンネム原野の区域や面積を正確に区画することは困難である。6. ギンネム原野とその周辺の植生の分光反射特性は近似している。このことと,TMデータの分解能が,小規模なギンネム原野のエリア区分の精度に影響している。
内容記述タイプ Other
内容記述 As part of studies on the silvicultural technique in denuded forest land, remote sensing data from landsat was used to do area division of a small area of Leucaena leucocephala forests. 1. The experimental area of 600×600m was established on the southern part of the Okinawa island. In this area, using aerial photograph, a distribution map for the Leucaena leucocephala forests was drawn. 2. Using the landsat TM data and the clustering method, the 735 ha training area which includes the experimental area was divided into 32 classes. The Leucaena leucocephala forests were divided into classes 3,4,5. 3. By using the clustering method, it was possible to roughly divide the Leucaena leucocephala forests. However, there exist a lot of error in the division. 4. In using the landsat TM data, it is difficult to accurately locate the position of 1 ha or more of the small area Leucaena leucocephala forests and accurately represent their areas. 5. The spectral reflectance of the vegetation at the circumference of the Leucaena leucocephala forests are similar, and also, the spatial resolution of the TM data both influenced the accuracy of the area division of the small area Leucaena leucocephala forests.
内容記述タイプ Other
内容記述 紀要論文
出版者
言語 ja
出版者 琉球大学農学部
言語
言語 jpn
資源タイプ
資源タイプ departmental bulletin paper
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
識別子
識別子 http://hdl.handle.net/20.500.12000/3728
識別子タイプ HDL
収録物識別子
収録物識別子タイプ ISSN
収録物識別子 0370-4246
収録物識別子タイプ NCID
収録物識別子 AN00250548
収録物名
言語 ja
収録物名 琉球大学農学部学術報告
書誌情報
号 43, p. 55-62
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