{"created":"2023-05-15T12:17:01.113813+00:00","id":606,"links":{},"metadata":{"_buckets":{"deposit":"10278783-003f-45e9-87a3-b7339640916c"},"_deposit":{"created_by":3,"id":"606","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"606"},"status":"published"},"_oai":{"id":"oai:tuis.repo.nii.ac.jp:00000606","sets":["1:4:186:187"]},"author_link":["2677","2678","2679","2680","2681","2682"],"control_number":"606","item_1701760134620":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"東京情報大学","subitem_publisher_language":"ja"}]},"item_5_biblio_info_12":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-09-30","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"84","bibliographicPageStart":"75","bibliographicVolumeNumber":"22","bibliographic_titles":[{"bibliographic_title":"東京情報大学研究論集","bibliographic_titleLang":"ja"}]}]},"item_5_description_10":{"attribute_name":"抄録(日)","attribute_value_mlt":[{"subitem_description":"温暖化などによる植生への影響が懸念されてきていることを背景として，第4次尾瀬総合学術調査が開始された．学術調査では，長期かつ広域を対象としたモニタリングシステムの構築が研究課題の一つとしてあげられたが，尾瀬は年間を通して積雪や雲に覆われることが多いため，植生の広域的把握には課題が残る．そこで本稿では，尾瀬ヶ原湿原と周辺山地の植生分布の現状を明らかにするために，衛星リモートセンシングを用いた相観植生図作成手法を検討した．Landsat/OLIにより観測された2014年（88シーン），2015年（86シーン），2016年（94シーン）の計268シーンの衛星画像を収集した．撮影年度ごとにモザイク処理することで，雲と雪氷を除去した年度ごとの画像を整備した．現地調査と環境省植生図にもとづく情報からグランドトゥルースデータを整備し，機械学習の一つであるランダムフォレストにより解析することで，全体精度0.9以上と非常に高精度な相観植生図を作成できた．","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_5_description_11":{"attribute_name":"抄録(英)","attribute_value_mlt":[{"subitem_description":"The Fourth Oze Scientific Research Project was initiated due to concern over the impact of global warming on vegetation in the Oze Region. One aim of the project is to develop a system for efficient\nmonitoring of wide scale vegetation changes. The Oze Region, however, is often covered with snow and clouds throughout the year, making monitoring of wide scale changes challenging. This research examined a method for using satellite remote sensing data to create a physiognomic vegetation map for Ozegahara Moor and the surrounding mountains. A total of 268 Landsat/OLI images were ecorded in 2014（88 scenes）, 2015（86 scenes）and 2016（94 scenes）. The images were rocessed by removing clouds and snow and mosaicked for each year. Ground truth data were prepared based on field survey information and extant vegetation maps produced by the Ministry of the Environment, and the mosaicked images were classified using the Random Forests machine learning system. The results showed an overall accuracy of over 0.9, indicating that this system is able to generate highly accurate physiognomic vegetation maps over a wide area.","subitem_description_language":"en","subitem_description_type":"Other"}]},"item_5_description_15":{"attribute_name":"表示順","attribute_value_mlt":[{"subitem_description":"8","subitem_description_type":"Other"}]},"item_5_description_2":{"attribute_name":"ページ属性","attribute_value_mlt":[{"subitem_description":"P","subitem_description_type":"Other"}]},"item_5_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.15029/00000595","subitem_identifier_reg_type":"JaLC"}]},"item_5_source_id_1":{"attribute_name":"雑誌書誌ID","attribute_value_mlt":[{"subitem_source_identifier":"AA11155514","subitem_source_identifier_type":"NCID"}]},"item_5_text_6":{"attribute_name":"著者所属(日)","attribute_value_mlt":[{"subitem_text_language":"ja","subitem_text_value":"東京情報大学大学院総合情報学研究科"},{"subitem_text_language":"ja","subitem_text_value":"東京情報大学総合情報学部"}]},"item_5_text_7":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"Graduate School of Informatics, Tokyo University of Information Sciences"},{"subitem_text_language":"en","subitem_text_value":"Faculty of Informatics, Tokyo University of Information Sciences"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"平山, 英毅","creatorNameLang":"ja"},{"creatorName":"ヒラヤマ, ヒデタケ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"富田, 瑞樹","creatorNameLang":"ja"},{"creatorName":"トミタ, ミズキ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"原, 慶太郎","creatorNameLang":"ja"},{"creatorName":"ハラ, ケイタロウ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hirayama, Hidetake","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tomita, Mizuki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hara, Keitarou","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2018-11-19"}],"displaytype":"detail","filename":"r22-1-s8.pdf","filesize":[{"value":"2.0 MB"}],"format":"application/pdf","license_note":"TUIS","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"r22-1-s8.pdf","url":"https://tuis.repo.nii.ac.jp/record/606/files/r22-1-s8.pdf"},"version_id":"9788f4c2-30b0-4aac-9e95-08704de4081a"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"衛星リモートセンシング","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"モザイク","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"尾瀬国立公園","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"相観植生図","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"機械学習","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"Satellite remote sensing","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"mosaics","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Oze national park","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Physiognomic vegetation map","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Machine learning","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"衛星リモートセンシングによる尾瀬植生図作成手法の検討","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"衛星リモートセンシングによる尾瀬植生図作成手法の検討","subitem_title_language":"ja"},{"subitem_title":"An Examination of Vegetation Mapping Techniques for Ozegahara Moor and Surrounding Mountains using Satellite Remote Sensing","subitem_title_language":"en"}]},"item_type_id":"5","owner":"3","path":["187"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2018-09-30"},"publish_date":"2018-09-30","publish_status":"0","recid":"606","relation_version_is_last":true,"title":["衛星リモートセンシングによる尾瀬植生図作成手法の検討"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-12-21T03:05:14.792134+00:00"}