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Methods for Detection Landslide within Mountainous Area Using Multitemporal SPOT HRV Imageries: A Case Study in Niigata, Japan
http://hdl.handle.net/10191/699
http://hdl.handle.net/10191/6995af3a152-786e-4459-9097-d058f0db67b1
名前 / ファイル | ライセンス | アクション |
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17_0035.pdf (304.1 kB)
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2007-04-18 | |||||
タイトル | ||||||
タイトル | Methods for Detection Landslide within Mountainous Area Using Multitemporal SPOT HRV Imageries: A Case Study in Niigata, Japan | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Methods for Detection Landslide within Mountainous Area Using Multitemporal SPOT HRV Imageries: A Case Study in Niigata, Japan | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Multitemporal principal component analysis | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | vegetation index differencing | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | stable greenness | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | delta greenness and delta brightness | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | 多時期衛星データ | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | 主成分分析 | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | 植生指数 | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | 山崩れ | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | departmental bulletin paper | |||||
その他のタイトル | ||||||
その他のタイトル | 多時期のSPOT衛星データを利用した山崩れ箇所の抽出 | |||||
著者 |
Jaya, I Nengah Surati
× Jaya, I Nengah Surati× Abe, Nobuyuki |
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著者別名 | ||||||
識別子 | 163673 | |||||
識別子Scheme | WEKO | |||||
姓名 | ジャヤ, イ スラテイ | |||||
著者別名 | ||||||
識別子 | 163674 | |||||
識別子Scheme | WEKO | |||||
姓名 | 阿部, 信行 | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | 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。 | |||||
書誌情報 |
新潟大学農学部研究報告 en : 新潟大学農学部研究報告 巻 58, 号 2, p. 109-116, 発行日 2006-03 |
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出版者 | ||||||
出版者 | 新潟大学農学部 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 03858634 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AN00183393 | |||||
著者版フラグ | ||||||
値 | publisher |