Item type |
学術雑誌論文 / Journal Article(1) |
公開日 |
2021-02-22 |
タイトル |
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タイトル |
DETECTING FORESTS DAMAGED BY PINE WILT DISEASE AT THE INDIVIDUAL TREE LEVEL USING AIRBORNE LASER DATA AND WORLDVIEW-2/3 IMAGES OVER TWO SEASONS |
言語 |
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言語 |
eng |
DOI |
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関連識別子 |
https://doi.org/10.5194/isprs-archives-xlii-3-w3-181-2017 |
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関連名称 |
10.5194/isprs-archives-xlii-3-w3-181-2017 |
キーワード |
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主題 |
Pine wilt disease, Tree mortality, Airborne laser scanning, WorldView-2, WorldView-3 |
資源タイプ |
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資源 |
http://purl.org/coar/resource_type/c_6501 |
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タイプ |
journal article |
著者 |
Takenaka, Y
Katoh, M
Deng, S
Cheung K
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信州大学研究者総覧へのリンク |
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氏名 |
Deng, Songqiu |
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URL |
https://soar-rd.shinshu-u.ac.jp/profile/ja.OFfhupyC.html |
出版者 |
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出版者 |
Copernicus Publications |
引用 |
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内容記述 |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.XLII-3/W3:181-184(2017) |
書誌情報 |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
巻 XLII-3/W3,
p. 181-184,
発行日 2017-10-19
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抄録 |
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内容記述 |
Pine wilt disease is caused by the pine wood nematode (Bursaphelenchus xylophilus) and Japanese pine sawyer (Monochamus alternatus). This study attempted to detect damaged pine trees at different levels using a combination of airborne laser scanning (ALS) data and high-resolution space-borne images. A canopy height model with a resolution of 50 cm derived from the ALS data was used for the delineation of tree crowns using the Individual Tree Detection method. Two pan-sharpened images were established using the ortho-rectified images. Next, we analyzed two kinds of intensity-hue-saturation (IHS) images and 18 remote sensing indices (RSI) derived from the pan-sharpened images. The mean and standard deviation of the 2 IHS images, 18 RSI, and 8 bands of the WV-2 and WV-3 images were extracted for each tree crown and were used to classify tree crowns using a support vector machine classifier. Individual tree crowns were assigned to one of nine classes: bare ground, Larix kaempferi, Cryptomeria japonica, Chamaecyparis obtusa, broadleaved trees, healthy pines, and damaged pines at slight, moderate, and heavy levels. The accuracy of the classifications using the WV-2 images ranged from 76.5 to 99.6 %, with an overall accuracy of 98.5 %. However, the accuracy of the classifications using the WV-3 images ranged from 40.4 to 95.4 %, with an overall accuracy of 72 %, which suggests poorer accuracy compared to those classes derived from the WV-2 images. This is because the WV-3 images were acquired in October 2016 from an area with low sun, at a low altitude. |
資源タイプ(コンテンツの種類) |
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内容記述 |
Article |
ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
1682-1750 |
権利 |
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権利情報 |
© Authors 2017. CC BY 4.0 License. |
出版タイプ |
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出版タイプ |
VoR |
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出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |