Classification of topography for ground vulnerability assessment of alluvial plains and mountains of Japan using 30 m DEM

• 資料種別: 記事
• タイトル: Classification of topography for ground vulnerability assessment of alluvial plains and mountains of Japan using 30 m DEM
• 著者・編者: Junko Iwahashi; Dai Yamazaki; Takayuki Nakano
• 出版事項: 日本 : Springer Nature
• 出版年月日等: 2021-01-05
• 出版年（W3CDTF）: 2021-01-05
• タイトル（掲載誌）: Progress in earth and planetary science
• 巻号年月日等（掲載誌）: 8(3)
• 掲載巻: 8(3)
• ISSN（掲載誌）: 2197-4284
• ISSN-L（掲載誌）: 2197-4284
• 本文の言語コード: eng
• DOI: 10.1186/s40645-020-00398-0; https://doi.org/10.1186/s40645-020-00398-0
• 国立国会図書館永続的識別子: info:ndljp/pid/11667982; https://dl.ndl.go.jp/pid/11667982
• コレクション（共通）: 障害者向け資料
• コレクション（障害者向け資料：レベル1）: テキストデータ
• コレクション（個別）: 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他; https://dl.ndl.go.jp/collections/B00035
• 収集根拠: オンライン資料収集制度
• 受理日（W3CDTF）: 2021-04-28T11:35:34+09:00
• 保存日（W3CDTF）: 2021-04-28
• 記録形式（IMT）: application/pdf
• オンライン閲覧公開範囲: 国立国会図書館内限定公開
• デジタル化資料送信: 図書館・個人送信対象外
• 遠隔複写可否（NDL）: 可
• 掲載誌（URI）: https://progearthplanetsci.springeropen.com/articles
• 掲載誌（国立国会図書館永続的識別子）: info:ndljp/pid/11667979; https://dl.ndl.go.jp/pid/11667979
• 連携機関・データベース: 国立国会図書館 : 国立国会図書館デジタルコレクション; https://dl.ndl.go.jp

• 要約等: コレクション : 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
• DOI: 10.1186/s40645-020-00398-0; https://doi.org/10.1186/s40645-020-00398-0
• オンライン閲覧公開範囲: インターネット公開
• 関連情報（URI）: http://id.ndl.go.jp/digimeta/11667982; https://dl.ndl.go.jp/pid/11667982; https://link.springer.com/content/pdf/10.1186/s40645-020-00398-0.pdf; https://link.springer.com/article/10.1186/s40645-020-00398-0/fulltext.html
• 参照: Geomorphometric characterization and sediment connectivity of the middle Brahmaputra River basin; https://cir.nii.ac.jp/crid/1360017279827078400
• 参照: HAND, a new terrain descriptor using SRTM-DEM: Mapping terra-firme rainforest environments in Amazonia; https://cir.nii.ac.jp/crid/1360011146130720384; Automated classifications of topography from DEMs by an unsupervised nested-means algorithm and a three-part geometric signature; https://cir.nii.ac.jp/crid/1360011146530814464; The 2011 eastern Japan great earthquake disaster: Overview and comments; https://cir.nii.ac.jp/crid/1360283690492004224; Preliminary investigation of the 20 August 2014 debris flows triggered by a severe rainstorm in Hiroshima City, Japan; https://cir.nii.ac.jp/crid/1360283693988380672; Rainfall conditions, typhoon frequency, and contemporary landslide erosion in Japan; https://cir.nii.ac.jp/crid/1360285710979171072; Digital elevation model grid size, landscape representation, and hydrologic simulations; https://cir.nii.ac.jp/crid/1360292619235348992; High-resolution DEMs in the study of rainfall- and earthquake-induced landslides: Use of a variable window size method in digital terrain analysis; https://cir.nii.ac.jp/crid/1360292619882952320; Geology and tectonics of Japanese islands: A review – The key to understanding the geology of Asia; https://cir.nii.ac.jp/crid/1360574094797942528; Supervised landform classification of Northeast Honshu from DEM-derived thematic maps; https://cir.nii.ac.jp/crid/1360574096047686016; Relationship between landslide size and rainfall conditions in Taiwan; https://cir.nii.ac.jp/crid/1360848656242958592; DEM resolution dependencies of terrain attributes across a landscape; https://cir.nii.ac.jp/crid/1360855569784111872; Geomorphons — a pattern recognition approach to classification and mapping of landforms; https://cir.nii.ac.jp/crid/1360855570817384320; Automated classification of landform elements using object-based image analysis; https://cir.nii.ac.jp/crid/1361137045381935616; SoilGrids250m: Global gridded soil information based on machine learning; https://cir.nii.ac.jp/crid/1361137045758668672; Landform classification from a digital elevation model and satellite imagery; https://cir.nii.ac.jp/crid/1361699993786706688; A Terrain-Based Site-Conditions Map of California with Implications for the Contiguous United States; https://cir.nii.ac.jp/crid/1361699995388360960; Automated analysis and classification of landforms using high-resolution digital elevation data: applications and issues; https://cir.nii.ac.jp/crid/1361981468735894272; Automated object-based classification of topography from SRTM data; https://cir.nii.ac.jp/crid/1361981469213719168; Optimisation of relief classification for different levels of generalisation; https://cir.nii.ac.jp/crid/1361981469709340032; A new Vs30 map for Italy based on the seismic microzonation dataset; https://cir.nii.ac.jp/crid/1361981470983639168; Theory of edge detection; https://cir.nii.ac.jp/crid/1362262943473781248; Classification of topography in artificially modified alluvial plains using DEMs; https://cir.nii.ac.jp/crid/1362262944410166528; Landslide Scaling: A Review; https://cir.nii.ac.jp/crid/1362262945793848448; Overlaying landslides distribution on the earthquake source, geological and topographical data: the Mid Niigata prefecture earthquake in 2004, Japan; https://cir.nii.ac.jp/crid/1362544420222433408; A new method for the determination of flow directions and upslope areas in grid digital elevation models; https://cir.nii.ac.jp/crid/1362825894165196416; A Next Generation<i>V</i>_<i>S</i>30Map for California Based on Geology and Topography; https://cir.nii.ac.jp/crid/1362825895246424960; Nationwide 7.5-Arc-Second Japan Engineering Geomorphologic Classification Map and Vs30 Zoning; https://cir.nii.ac.jp/crid/1363107369282122112; The geometric signature: Quantifying landslide-terrain types from digital elevation models; https://cir.nii.ac.jp/crid/1363107370350823296; Proxy‐Based<i>V</i>_<i>S</i>30Estimation in Central and Eastern North America; https://cir.nii.ac.jp/crid/1363388843419506944; A New Typology for Mountains and Other Relief Classes; https://cir.nii.ac.jp/crid/1363388843511341184; A generic procedure for automatically segmenting landforms into landform elements using DEMs, heuristic rules and fuzzy logic; https://cir.nii.ac.jp/crid/1363388845404997760; Parameter-free delineation of slope units and terrain subdivision of Italy; https://cir.nii.ac.jp/crid/1363670319377319168; Landform classification of New Mexico by computer; https://cir.nii.ac.jp/crid/1363670319520474624; Fluvial geomorphology and paleohydrology in Japan; https://cir.nii.ac.jp/crid/1363670321207071488; A robust, two‐parameter method for the extraction of drainage networks from high‐resolution digital elevation models (<scp>DEMs</scp>): Evaluation using synthetic and real‐world <scp>DEMs</scp>; https://cir.nii.ac.jp/crid/1363951794525846272; Development of Nationwide Vs30 Map and Calibrated Conversion Table for Indonesia using Automated Topographical Classification; https://cir.nii.ac.jp/crid/1364233269346615424; The use of remote sensing in soil and terrain mapping — A review; https://cir.nii.ac.jp/crid/1364233270644481792; 日本全域高解像度の表面流向データ整備; https://cir.nii.ac.jp/crid/1390003825206799872; The 2016 Kumamoto Earthquakes Landslide Disasters and Response; https://cir.nii.ac.jp/crid/1390282763118360832; Global terrain classification using 280 m DEMs : segmentation, clustering, and reclassification; https://cir.nii.ac.jp/crid/2051433317007351552
• 連携機関・データベース: 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• 提供元機関・データベース: 雑誌記事索引データベース; https://ndlsearch.ndl.go.jp; Crossref; https://www.crossref.org; 科学研究費助成事業データベース; https://kaken.nii.ac.jp/ja
• 書誌ID（NDLBibID）: 11667982; http://id.ndl.go.jp/bib/11667982