{"_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"}, "item_7_alternative_title_1": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "\u591a\u6642\u671f\u306eSPOT\u885b\u661f\u30c7\u30fc\u30bf\u3092\u5229\u7528\u3057\u305f\u5c71\u5d29\u308c\u7b87\u6240\u306e\u62bd\u51fa"}]}, "item_7_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2006-03", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "2", "bibliographicPageEnd": "116", "bibliographicPageStart": "109", "bibliographicVolumeNumber": "58", "bibliographic_titles": [{"bibliographic_title": "\u65b0\u6f5f\u5927\u5b66\u8fb2\u5b66\u90e8\u7814\u7a76\u5831\u544a"}, {"bibliographic_title": "\u65b0\u6f5f\u5927\u5b66\u8fb2\u5b66\u90e8\u7814\u7a76\u5831\u544a", "bibliographic_titleLang": "en"}]}]}, "item_7_description_4": {"attribute_name": "\u6284\u9332", "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\u00d710m. The study concludes that detecting landslides using SPOT imagery is relatively more efficient than using only terrestrial survey, providing a relative efficiency of 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