{"created":"2023-06-20T13:44:20.768740+00:00","id":2318,"links":{},"metadata":{"_buckets":{"deposit":"a2693ad8-6444-4423-a8f6-a87cbbac8153"},"_deposit":{"created_by":2,"id":"2318","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"2318"},"status":"published"},"_oai":{"id":"oai:fut.repo.nii.ac.jp:00002318","sets":["1"]},"author_link":["17013","17014"],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2019-12-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"49","bibliographicPageEnd":"165","bibliographicPageStart":"154","bibliographic_titles":[{"bibliographic_title":"福井工業大学研究紀要"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Asian dust (i.e., dust and sandstorm: DSS) can be detected by AVI method. AVI is defined as AVI=T12-T11, where T12 and T11 are the brightness temperatures at 12μm and 11μm wave lengths, respectively. But AVI method cannot detect PM2.5 air pollution. The PM2.5 detection methods {R, G, B = band10, band 9, T11}, etc. using MODIS data can detect PM2.5, but are not suitable for DSS detection. In this paper, we propose the simple methods for the discrimination of DSS, PM2.5 and clouds {R, G, B = AVI, band10+band 9, T11}, etc. In these composite color images, DSS is displayed in pink, and PM2.5 is displayed in light blue, and clouds are displayed in green, red or purple.","subitem_description_type":"Abstract"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"福井工業大学"}]},"item_10002_relation_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"TF10121970","subitem_relation_type_select":"NCID"}}]},"item_10002_version_type_20":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"加藤, 芳信"}],"nameIdentifiers":[{"nameIdentifier":"17013","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Yoshinobu, Kato","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"17014","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2023-05-12"}],"displaytype":"detail","filename":"154-165.pdf","filesize":[{"value":"12.0 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"154-165.pdf","url":"https://fut.repo.nii.ac.jp/record/2318/files/154-165.pdf"},"version_id":"cedf24cf-4fc5-4eb6-a83a-c9f8c66837ba"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Asian dust, Dust and sandstorm, PM2.5, Air pollution, MODIS, AVI, DustRGB, Composite color image","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":"MODIS衛星データを用いた黄砂とPM2.5と雲の識別法","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"MODIS衛星データを用いた黄砂とPM2.5と雲の識別法"},{"subitem_title":"Discrimination Methods of Asian Dust, PM2.5 and Clouds Using MODIS Data","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"2","path":["1"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-03-05"},"publish_date":"2020-03-05","publish_status":"0","recid":"2318","relation_version_is_last":true,"title":["MODIS衛星データを用いた黄砂とPM2.5と雲の識別法"],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2023-06-20T13:59:18.785283+00:00"}