{"created":"2021-03-01T06:25:07.321174+00:00","id":21959,"links":{},"metadata":{"_buckets":{"deposit":"ff3c6cb3-6b85-4c71-955a-3e59f9b44e64"},"_deposit":{"id":"21959","owners":[],"pid":{"revision_id":0,"type":"depid","value":"21959"},"status":"published"},"_oai":{"id":"oai:soar-ir.repo.nii.ac.jp:00021959","sets":["1595:1850"]},"author_link":["110730","110731","110732","110733"],"item_1628147817048":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_6_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2017-10-19","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"184","bibliographicPageStart":"181","bibliographicVolumeNumber":"XLII-3/W3","bibliographic_titles":[{"bibliographic_title":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences"}]}]},"item_6_description_20":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"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.","subitem_description_type":"Abstract"}]},"item_6_description_30":{"attribute_name":"資源タイプ（コンテンツの種類）","attribute_value_mlt":[{"subitem_description":"Article","subitem_description_type":"Other"}]},"item_6_description_5":{"attribute_name":"引用","attribute_value_mlt":[{"subitem_description":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.XLII-3/W3:181-184(2017)","subitem_description_type":"Other"}]},"item_6_link_3":{"attribute_name":"信州大学研究者総覧へのリンク","attribute_value_mlt":[{"subitem_link_text":"Deng, Songqiu","subitem_link_url":"https://soar-rd.shinshu-u.ac.jp/profile/ja.OFfhupyC.html"}]},"item_6_publisher_4":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Copernicus Publications"}]},"item_6_relation_48":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"10.5194/isprs-archives-xlii-3-w3-181-2017"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.5194/isprs-archives-xlii-3-w3-181-2017","subitem_relation_type_select":"DOI"}}]},"item_6_rights_62":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© Authors 2017. CC BY 4.0 License."}]},"item_6_source_id_35":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1682-1750","subitem_source_identifier_type":"ISSN"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Takenaka, Y"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Katoh, M"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Deng, S"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Cheung  K"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2021-02-22"}],"displaytype":"detail","filename":"16K18716_05.pdf","filesize":[{"value":"724.9 kB"}],"format":"application/pdf","licensefree":"© Authors 2017. CC BY 4.0 License.","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"16K18716_05.pdf","url":"https://soar-ir.repo.nii.ac.jp/record/21959/files/16K18716_05.pdf"},"version_id":"1727dac6-60eb-481b-8a72-fb744d6f69e7"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Pine wilt disease","subitem_subject_scheme":"Other"},{"subitem_subject":"Tree mortality","subitem_subject_scheme":"Other"},{"subitem_subject":"Airborne laser scanning","subitem_subject_scheme":"Other"},{"subitem_subject":"WorldView-2","subitem_subject_scheme":"Other"},{"subitem_subject":"WorldView-3","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"DETECTING FORESTS DAMAGED BY PINE WILT DISEASE AT THE INDIVIDUAL TREE LEVEL USING AIRBORNE LASER DATA AND WORLDVIEW-2/3 IMAGES OVER TWO SEASONS","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"DETECTING FORESTS DAMAGED BY PINE WILT DISEASE AT THE INDIVIDUAL TREE LEVEL USING AIRBORNE LASER DATA AND WORLDVIEW-2/3 IMAGES OVER TWO SEASONS","subitem_title_language":"en"}]},"item_type_id":"6","owner":"1","path":["1850"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2021-02-22"},"publish_date":"2021-02-22","publish_status":"0","recid":"21959","relation_version_is_last":true,"title":["DETECTING FORESTS DAMAGED BY PINE WILT DISEASE AT THE INDIVIDUAL TREE LEVEL USING AIRBORNE LASER DATA AND WORLDVIEW-2/3 IMAGES OVER TWO SEASONS"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2022-12-14T04:19:54.650799+00:00"}