{"created":"2021-03-01T06:17:06.106234+00:00","id":10285,"links":{},"metadata":{"_buckets":{"deposit":"b13dbb5f-0963-4503-b11c-bfdf8785baac"},"_deposit":{"id":"10285","owners":[],"pid":{"revision_id":0,"type":"depid","value":"10285"},"status":"published"},"_oai":{"id":"oai:nagoya.repo.nii.ac.jp:00010285","sets":["488:1137:1138"]},"author_link":["31187","31188"],"control_number":"10285","item_10_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2008-07","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"V12","bibliographicPageStart":"V9","bibliographicVolumeNumber":"5","bibliographic_titles":[{"bibliographic_title":"IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2008)","bibliographic_titleLang":"en"}]}]},"item_10_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"The objective of this study is to explore an approach of combining remote sensing and spatial metrics to characterize the urban growth of Hanoi (Vietnam), Nagoya (Japan), and Shanghai (China). Input data is twelve scenes of Landsat and ASTER data taken in Hanoi, Nagoya, and Shanghai city from 1975 to 2003. Firstly, this study developed a program based on a spatial metric of PLADJ to make urban growth maps. Secondly, FRAGSTATS  was utilized to evaluate value of urban composition. The result showed that the urban core of Nagoya city spread out to suburb over times. At the end of 90's decade, urbanization of this city began slowdown. The characteristic of urbanization of Shanghai city was high urban density, and satellite towns around central  city were established to absorb potential development to those satellite cities. In contrast to development of Nagoya and Shanghai city, Hanoi city showed the fragmented growth, and rapid expansion of new urban areas  along newly constructed roads and highways. This trend led a negative impact to disorder the configuration of Hanoi city areas in unusual shape. The combined approach of remote sensing and spatial metrics is powerful, and will be useful to offer a future land-use plan for Hanoi city.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10_identifier_60":{"attribute_name":"URI","attribute_value_mlt":[{"subitem_identifier_type":"HDL","subitem_identifier_uri":"http://hdl.handle.net/2237/12105"}]},"item_10_publisher_32":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEEE","subitem_publisher_language":"en"}]},"item_10_relation_11":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1109/IGARSS.2008.4780014","subitem_relation_type_select":"DOI"}}]},"item_10_rights_12":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright © 2008 IEEE. Reprinted from IEEE International Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. v.5, p.V-9-V-12. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.","subitem_rights_language":"en"}]},"item_10_select_15":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"author"}]},"item_1615787544753":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hai, Pham Minh","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"31187","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Yamaguchi, Yasushi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"31188","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":"2018-02-20"}],"displaytype":"detail","filename":"IGARSS.pdf","filesize":[{"value":"929.6 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"IGARSS.pdf","objectType":"fulltext","url":"https://nagoya.repo.nii.ac.jp/record/10285/files/IGARSS.pdf"},"version_id":"7e2079eb-8755-433e-90f2-83243ca36149"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"urban change","subitem_subject_scheme":"Other"},{"subitem_subject":"spatial metric","subitem_subject_scheme":"Other"},{"subitem_subject":"Hanoi","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":"CHARACTERIZING THE URBAN GROWTH OF HANOI, NAGOYA, AND SHANGHAI CITY USING REMOTE SENSING AND SPATIAL METRICS","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"CHARACTERIZING THE URBAN GROWTH OF HANOI, NAGOYA, AND SHANGHAI CITY USING REMOTE SENSING AND SPATIAL METRICS","subitem_title_language":"en"}]},"item_type_id":"10","owner":"1","path":["1138"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2009-08-27"},"publish_date":"2009-08-27","publish_status":"0","recid":"10285","relation_version_is_last":true,"title":["CHARACTERIZING THE URBAN GROWTH OF HANOI, NAGOYA, AND SHANGHAI CITY USING REMOTE SENSING AND SPATIAL METRICS"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-01-16T03:56:10.204981+00:00"}