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  1. 070 農学部, 大学院農学研究科
  2. 0701 学術論文

Interpretation of Forest Resources at the Individual Tree Level at Purple Mountain, Nanjing City, China, Using WorldView-2 Imagery by Combining GPS, RS and GIS Technologies

http://hdl.handle.net/10091/00019225
http://hdl.handle.net/10091/00019225
a2f25f82-45c4-42c7-8267-d9cfcf2abe00
名前 / ファイル ライセンス アクション
Interpretation_Forest_Resources_Individual_Tree_Level.pdf Interpretation_Forest_Resources_Individual_Tree_Level.pdf (8.6 MB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2016-09-30
タイトル
言語 en
タイトル Interpretation of Forest Resources at the Individual Tree Level at Purple Mountain, Nanjing City, China, Using WorldView-2 Imagery by Combining GPS, RS and GIS Technologies
言語
言語 eng
キーワード
主題Scheme Other
主題 3S technology
キーワード
主題Scheme Other
主題 forest resource measurement
キーワード
主題Scheme Other
主題 individual tree crown approach
キーワード
主題Scheme Other
主題 object-based classification
キーワード
主題Scheme Other
主題 Purple Mountain
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ journal article
著者 Deng, Songqiu

× Deng, Songqiu

WEKO 51423

Deng, Songqiu

Search repository
Katoh, Masato

× Katoh, Masato

WEKO 51424

Katoh, Masato

Search repository
Guan, Qingwei

× Guan, Qingwei

WEKO 51425

Guan, Qingwei

Search repository
Yin, Na

× Yin, Na

WEKO 51426

Yin, Na

Search repository
Li, Mingyang

× Li, Mingyang

WEKO 51427

Li, Mingyang

Search repository
信州大学研究者総覧へのリンク
氏名 Katoh, Masato
URL http://soar-rd.shinshu-u.ac.jp/profile/ja.OhyNPUkh.html
出版者
出版者 MDPI AG
引用
内容記述タイプ Other
内容記述 REMOTE SENSING. 6(1):87-110 (2014)
書誌情報 REMOTE SENSING

巻 6, 号 1, p. 87-110, 発行日 2014-01
抄録
内容記述タイプ Abstract
内容記述 This study attempted to measure forest resources at the individual tree level using high-resolution images by combining GPS, RS, and Geographic Information System (GIS) technologies. The images were acquired by the WorldView-2 satellite with a resolution of 0.5 m in the panchromatic band and 2.0 m in the multispectral bands. Field data of 90 plots were used to verify the interpreted accuracy. The tops of trees in three groups, namely 10 cm, 15 cm, and 20 cm DBH (diameter at breast height), were extracted by the individual tree crown (ITC) approach using filters with moving windows of 3 x 3 pixels, 5 x 5 pixels and 7 x 7 pixels, respectively. In the study area, there were 1,203,970 trees of DBH over 10 cm, and the interpreted accuracy was 73.68 +/- 15.14% averaged over the 90 plots. The numbers of the trees that were 15 cm and 20 cm DBH were 727,887 and 548,919, with an average accuracy of 68.74 +/- 17.21% and 71.92 +/- 18.03%, respectively. The pixel-based classification showed that the classified accuracies of the 16 classes obtained using the eight multispectral bands were higher than those obtained using only the four standard bands. The increments ranged from 0.1% for the water class to 17.0% for Metasequoia glyptostroboides, with an average value of 4.8% for the 16 classes. In addition, to overcome the mixed pixels problem, a crown-based supervised classification, which can improve the classified accuracy of both dominant species and smaller classes, was used for generating a thematic map of tree species. The improvements of the crown- to pixel-based classification ranged from -1.6% for the open forest class to 34.3% for Metasequoia glyptostroboides, with an average value of 20.3% for the 10 classes. All tree tops were then annotated with the species attributes from the map, and a tree count of different species indicated that the forest of Purple Mountain is mainly dominated by Quercus acutissima, Liquidambar formosana and Pinus massoniana. The findings from this study lead to the recommendation of using the crown-based instead of the pixel-based classification approach in classifying mixed forests.
資源タイプ(コンテンツの種類)
内容記述タイプ Other
内容記述 Article
ISSN
収録物識別子タイプ ISSN
収録物識別子 2072-4292
DOI
識別子タイプ DOI
関連識別子 https://doi.org/10.3390/rs6010087
関連名称 10.3390/rs6010087
権利
権利情報 © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
WoS
表示名 Web of Science
URL http://gateway.isiknowledge.com/gateway/Gateway.cgi?&GWVersion=2&SrcAuth=ShinshuUniv&SrcApp=ShinshuUniv&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000335555900005
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