{"_buckets": {"deposit": "1dc99e16-10d5-4f54-b28c-0ae39cd30075"}, "_deposit": {"id": "4719", "owners": [1], "pid": {"revision_id": 0, "type": "depid", "value": "4719"}, "status": "published"}, "_oai": {"id": "oai:nied-repo.bosai.go.jp:00004719", "sets": []}, "author_link": [], "item_10001_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2018", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "5688", "bibliographicPageStart": "5685", "bibliographicVolumeNumber": "2018-July", "bibliographic_titles": [{"bibliographic_title": "IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM", "bibliographic_titleLang": "en"}]}]}, "item_10001_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "Unmanned Aerial Vehicles (UAVs) are becoming an efficient tool of image collection for affected areas due to natural disasters. In this study, UAV flights were carried out over a landslide affected site due to the July 2017 Northern Kyushu heavy rainfall in Japan. The UAV flights captured high-resolution still photos, and using them, three-dimensional (3D) models were developed based on a SfM (Structure-from-Motion) technique. The developed models could depict the damage situations vividly, and the location accuracy was evaluated through the comparison with the result of GPS measurements on the site.", "subitem_description_language": "en", "subitem_description_type": "Other"}]}, "item_10001_publisher_8": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "IEEE", "subitem_publisher_language": "en"}]}, "item_10001_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "10.1109/IGARSS.2018.8517376"}}]}, "item_10001_source_id_9": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "2153-6996", "subitem_source_identifier_type": "ISSN"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Fumio Yamazaki", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Shuntaro Miyazaki", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Wen Liu", "creatorNameLang": "en"}]}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_title": "3D VISUALIZATION OF LANDSLIDE AFFECTED AREA DUE TO HEAVY RAINFALL IN JAPAN FROM UAV FLIGHTS AND SFM", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "3D VISUALIZATION OF LANDSLIDE AFFECTED AREA DUE TO HEAVY RAINFALL IN JAPAN FROM UAV FLIGHTS AND SFM", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "1", "path": ["1670839190650"], "permalink_uri": "https://nied-repo.bosai.go.jp/records/4719", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2023-03-30"}, "publish_date": "2023-03-30", "publish_status": "0", "recid": "4719", "relation": {}, "relation_version_is_last": true, "title": ["3D VISUALIZATION OF LANDSLIDE AFFECTED AREA DUE TO HEAVY RAINFALL IN JAPAN FROM UAV FLIGHTS AND SFM"], "weko_shared_id": -1}