{"created":"2023-06-19T08:46:14.250997+00:00","id":5006,"links":{},"metadata":{"_buckets":{"deposit":"8fabe4f6-146d-45c1-ba83-26c4a0037dbd"},"_deposit":{"created_by":14,"id":"5006","owners":[14],"pid":{"revision_id":0,"type":"depid","value":"5006"},"status":"published"},"_oai":{"id":"oai:kpu.repo.nii.ac.jp:00005006","sets":["47:273:422"]},"author_link":["8047"],"control_number":"5006","item_1696926521561":{"attribute_name":"その他（別言語等）","attribute_value_mlt":[{"subitem_alternative_title":"Classification and mapping of forest types by digital processing MSS data(Forestry)","subitem_alternative_title_language":"en"}]},"item_3_biblio_info_12":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1978-11-30","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"88","bibliographicPageStart":"79","bibliographicVolumeNumber":"30","bibliographic_titles":[{"bibliographic_title":"京都府立大學學術報告. 農學","bibliographic_titleLang":"ja"},{"bibliographic_title":"The scientific reports of Kyoto Prefectural University. Agriculture","bibliographic_titleLang":"en"}]}]},"item_3_description_10":{"attribute_name":"抄録(日)","attribute_value_mlt":[{"subitem_description":"本研究は森林の林相区分を目的として, 航空機によるMSSデータのデジイタル解析を試みたものである。フィールドには京都上賀茂周辺の森林を選び, 解析システムには京大大型計算機のPARS (Package Program for the Remote Sensing Data Analysis)を利用した。トレーニング・エリアとして5個の森林タイプと草地, 住宅地, 田畑の計8個を選び出し, これを教師として分析地区全域の識別図を作成した。この判別分類法にはユークリッド距離法と線形判別分類法を用いた。判別結果は森林と森林以外の事物の誤判別はほとんどなかったが, 林相区分についての判別率は40∿50%と低かった。これは教師として指定したトレーニング・エリアの切り出しに混交林が多かったことと, 地形による日蔭部が含まれていたことなどに原因があると思われ, 撮影条件の良いデータで再検討する必要があろう。","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_3_description_11":{"attribute_name":"抄録(英)","attribute_value_mlt":[{"subitem_description":"In this paper deals with the digital analysis of aerial multispectral scanner (MSS) data, as the basic research for the classification of forest types. The data processing was based on the package program for the remote sensing analysis with Facom M-190 computor at Kyoto Univ. Data Processing Center. The procedural outline in this case are as follows : Step A : Check of data quality, Gray-scale map, Study area selection. Step B : Statistical data of cover type or class. Step C : Classification; Euclidean distance analysis. Linear discriminant analysis. Maximum likelihood analysis. Performance of test area. Printout of classification result. Step D : Affine transformation, Combination of file, Color display. The study area chosen was KAMIGAMO district in Kyoto city. MSS data taken at 900m altitude on December 21,1976,was used. The ground truth data were gathered from the reconnaissance and the airo-colorphotographies through stereo-vision. The discriminant maps of the study area shown in Figure 7 were produced by the supervised approaches. Successful mapping of grass land at this case made it possible to precisely locate. Confusion of discriminance occurred where the nearly mixed plant community and shady parts. It was apparent that the supervised discriminant procedure was not suitable for areas of mixed plant community.","subitem_description_language":"en","subitem_description_type":"Other"}]},"item_3_source_id_1":{"attribute_name":"雑誌書誌ID","attribute_value_mlt":[{"subitem_source_identifier":"AN00062275","subitem_source_identifier_type":"NCID"}]},"item_3_source_id_20":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"00757373","subitem_source_identifier_type":"PISSN"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"妹尾, 俊夫","creatorNameLang":"ja"},{"creatorName":"セノオ, トシオ","creatorNameLang":"ja-Kana"},{"creatorName":"Senoo, Toshio","creatorNameLang":"en"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-02-20"}],"displaytype":"detail","filename":"KJ00000079005.pdf","filesize":[{"value":"3.0 MB"}],"format":"application/pdf","mimetype":"application/pdf","url":{"label":"KJ00000079005.pdf","url":"https://kpu.repo.nii.ac.jp/record/5006/files/KJ00000079005.pdf"},"version_id":"a0c25c02-4063-445d-abc4-36116739cdaf"}]},"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"}]},"item_title":"ディジタル処理による森林のリモートセンシング(林学部門)","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ディジタル処理による森林のリモートセンシング(林学部門)","subitem_title_language":"ja"}]},"item_type_id":"3","owner":"14","path":["422"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2017-02-20"},"publish_date":"2017-02-20","publish_status":"0","recid":"5006","relation_version_is_last":true,"title":["ディジタル処理による森林のリモートセンシング(林学部門)"],"weko_creator_id":"14","weko_shared_id":-1},"updated":"2024-03-19T02:11:56.021625+00:00"}