{"_buckets": {"deposit": "b02ce5fc-f826-408b-99d1-e2ce2084d3eb"}, "_deposit": {"id": "28445", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "28445"}, "status": "published"}, "_oai": {"id": "oai:niigata-u.repo.nii.ac.jp:00028445", "sets": ["456", "1605"]}, "item_7_alternative_title_1": {"attribute_name": "その他のタイトル", "attribute_value_mlt": [{"subitem_alternative_title": "多時期のSPOT衛星データを利用した山崩れ箇所の抽出"}]}, "item_7_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2006-03", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "2", "bibliographicPageEnd": "116", "bibliographicPageStart": "109", "bibliographicVolumeNumber": "58", "bibliographic_titles": [{"bibliographic_title": "新潟大学農学部研究報告"}, {"bibliographic_title": "新潟大学農学部研究報告", "bibliographic_titleLang": "en"}]}]}, "item_7_description_4": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "This study examined the use of multitemporal SPOT imageries for detecting landslides that occurred in Niigata Prefecture on July 13th, 2004. Two methods were proposed, i.e., the multitemporal principal component (MPC) and the vegetation index differencing (VIDN). In general, the study results show that the MPC method provides the best landslides detection than the VIDN method. The synthetic images derived from stable greenness, delta greenness and delta brightness of MPC provide accuracy of 88% for Teradomari and 91% for Tochio and Shitada Mura, while the VIDN method provides relatively lower accuracies, i.e., only 62.5% for Teradomari and 64% for Tochio and Shitada Mura. The study found that most of the landslides occurred in the steeply sloped areas, particularly near the roads and or stream networks. The study also found that the minimum size of the landsides that could be detected should be at least equal to the size of spatial resolution of the applied SPOT imagery, i.e. 10m×10m. The study concludes that detecting landslides using SPOT imagery is relatively more efficient than using only terrestrial survey, providing a relative efficiency of 2.4.2004年7月13日の水害では、五十嵐川、刈谷田川が決壊し、寺泊町、三条市、中之島町、栃尾市、下田村管内に大きな被害をもたらした。この時の雨量で、山地でも山崩れが発生し、多くの被害が発生した。2時期のSPOT衛星データを利用して、山地内の山崩れがどの程度、抽出可能なのかを解析した。用いた衛星データは、2001年8月15日撮影のSPOT2号と2004年7月24日のシーンを用いた。2時点のシーンを重ね合わせ、植生指数の差を取り、一定以上示した箇所を変化箇所とした。現地踏査の結果、寺泊町では1ピクセル(10m×10m)より大きい山崩れ箇所は88%抽出できた。栃尾市と下田村管内では、1ピクセルより大きい山崩れ箇所は91%抽出できた。このように、2時点の画像を重ねることで、山崩れ箇所の抽出は非常に効果的であると考えられた。", "subitem_description_type": "Abstract"}]}, "item_7_full_name_3": {"attribute_name": "著者別名", "attribute_value_mlt": [{"nameIdentifiers": [{"nameIdentifier": "163673", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "ジャヤ, イ スラテイ"}]}, {"nameIdentifiers": [{"nameIdentifier": "163674", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "阿部, 信行"}]}]}, "item_7_publisher_7": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "新潟大学農学部"}]}, "item_7_select_19": {"attribute_name": "著者版フラグ", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_7_source_id_11": {"attribute_name": "書誌レコードID", "attribute_value_mlt": [{"subitem_source_identifier": "AN00183393", "subitem_source_identifier_type": "NCID"}]}, "item_7_source_id_9": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "03858634", "subitem_source_identifier_type": "ISSN"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Jaya, I Nengah Surati"}], "nameIdentifiers": [{"nameIdentifier": "163671", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Abe, Nobuyuki"}], "nameIdentifiers": [{"nameIdentifier": "163672", "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": "2019-08-20"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "17_0035.pdf", "filesize": [{"value": "304.1 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 304100.0, "url": {"label": "17_0035.pdf", "url": "https://niigata-u.repo.nii.ac.jp/record/28445/files/17_0035.pdf"}, "version_id": "e3bfe186-c02c-4150-9dbf-79c9d8941a0b"}]}, "item_keyword": {"attribute_name": "キーワード", "attribute_value_mlt": [{"subitem_subject": "Multitemporal principal component analysis", "subitem_subject_scheme": "Other"}, {"subitem_subject": "vegetation index differencing", "subitem_subject_scheme": "Other"}, {"subitem_subject": "stable greenness", "subitem_subject_scheme": "Other"}, {"subitem_subject": "delta greenness and delta brightness", "subitem_subject_scheme": "Other"}, {"subitem_subject": "多時期衛星データ", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "主成分分析", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "植生指数", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "山崩れ", "subitem_subject_language": "en", "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": "departmental bulletin paper", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "Methods for Detection Landslide within Mountainous Area Using Multitemporal SPOT HRV Imageries: A Case Study in Niigata, Japan", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Methods for Detection Landslide within Mountainous Area Using Multitemporal SPOT HRV Imageries: A Case Study in Niigata, Japan"}, {"subitem_title": "Methods for Detection Landslide within Mountainous Area Using Multitemporal SPOT HRV Imageries: A Case Study in Niigata, Japan", "subitem_title_language": "en"}]}, "item_type_id": "7", "owner": "1", "path": ["456", "1605"], "permalink_uri": "http://hdl.handle.net/10191/699", "pubdate": {"attribute_name": "公開日", "attribute_value": "2007-04-18"}, "publish_date": "2007-04-18", "publish_status": "0", "recid": "28445", "relation": {}, "relation_version_is_last": true, "title": ["Methods for Detection Landslide within Mountainous Area Using Multitemporal SPOT HRV Imageries: A Case Study in Niigata, Japan"], "weko_shared_id": null}