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Improving the Precision of Tree Counting by Combining Tree Detection with Crown Delineation and Classification on Homogeneity Guided Smoothed High Resolution (50 cm) Multispectral Airborne Digital Data
http://hdl.handle.net/10091/17108
http://hdl.handle.net/10091/171081d3bb84b-2df1-45e5-a9df-40051c643cd2
| 名前 / ファイル | ライセンス | アクション |
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Improving_Precision_Tree_Counting_Combining_Tree_Detection_Crown_Delineation.pdf (1.6 MB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||||||
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| 公開日 | 2013-08-27 | |||||||||
| タイトル | ||||||||||
| タイトル | Improving the Precision of Tree Counting by Combining Tree Detection with Crown Delineation and Classification on Homogeneity Guided Smoothed High Resolution (50 cm) Multispectral Airborne Digital Data | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| DOI | ||||||||||
| 関連識別子 | https://doi.org/10.3390/rs4051411 | |||||||||
| 関連名称 | 10.3390/rs4051411 | |||||||||
| キーワード | ||||||||||
| 主題 | forest resource management, individual tree crown, tree counting method | |||||||||
| 資源タイプ | ||||||||||
| 資源 | http://purl.org/coar/resource_type/c_6501 | |||||||||
| タイプ | journal article | |||||||||
| 著者 |
Katoh, Masato
× Katoh, Masato
× Gougeon, Francois A.
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| 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 | REMOTE SENSING. 4(5):1411-1424 (2012) | |||||||||
| 書誌情報 |
REMOTE SENSING 巻 4, 号 5, p. 1411-1424, 発行日 2013-05 |
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| 抄録 | ||||||||||
| 内容記述 | A method of counting the number of coniferous trees by species within forest compartments was developed by combining an individual tree crown delineation technique with a treetop detection technique, using high spatial resolution optical sensor data. When this method was verified against field data from the Shinshu University Campus Forest composed of various cover types, the accuracy for the total number of trees per stand was higher than 84%. This shows improvements over the individual tree crown delineation technique alone which had accuracies lower than 62%, or the treetop detection technique alone which had accuracies lower than 78%. However, the accuracy of the number of trees classified by species was less than 84%. The total number of trees by species per stand was improved with exclusion of the understory species and ranged from 45.2% to 93.8% for Chamaecyparis obtusa and C. pisifera and from 37.9% to 98.1% for broad-leaved trees because many of these were understory species. The better overall results are attributable primarily to the overestimation of Pinus densiflora, Larix kaempferi and broad-leaved trees compensating for the underestimation of C. obtusa and C. pisifera. Practical forest management can be enhanced by registering the output resulting from this technology in a forest geographical information system database. This approach is mostly useful for conifer plantations containing medium to old age trees, which have a higher timber value. | |||||||||
| 資源タイプ（コンテンツの種類） | ||||||||||
| ISSN | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 2072-4292 | |||||||||
| 権利 | ||||||||||
| 権利情報 | Copyright© 2012 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 | ||||||||||
| URL | http://gateway.isiknowledge.com/gateway/Gateway.cgi?&GWVersion=2&SrcAuth=ShinshuUniv&SrcApp=ShinshuUniv&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000306757800015 | |||||||||
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Cite as
Katoh, Masato, Gougeon, Francois A., 2013, Improving the Precision of Tree Counting by Combining Tree Detection with Crown Delineation and Classification on Homogeneity Guided Smoothed High Resolution (50 cm) Multispectral Airborne Digital Data: MDPI AG, 1411–1424 p.
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