Global terrain classification using 280 m DEMs : segmentation, clustering, and reclassification

• 資料種別: 記事
• タイトル: Global terrain classification using 280 m DEMs : segmentation, clustering, and reclassification
• 著者・編者: Junko Iwahashi; Izumi Kamiya; Masashi Matsuoka
• 出版事項: 日本 : Springer Nature
• 出版年月日等: 2018-01-05
• 出版年（W3CDTF）: 2018-01-05
• タイトル（掲載誌）: Progress in earth and planetary science
• 巻号年月日等（掲載誌）: 5(1)
• 掲載巻: 5(1)
• 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/s40645-017-0157-2; https://doi.org/10.1186/s40645-017-0157-2
• 国立国会図書館永続的識別子: info:ndljp/pid/11018907; https://dl.ndl.go.jp/pid/11018907
• 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）: 2018-01-12T20:31:06+09:00
• 保存日（W3CDTF）: 2018-01-11
• 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/11018906; https://dl.ndl.go.jp/pid/11018906
• 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/s40645-017-0157-2; https://doi.org/10.1186/s40645-017-0157-2
• オンライン閲覧公開範囲: インターネット公開
• 関連情報: Global Terrain Classification Using 280 m DEMs: Segmentation, Clustering, and Reclassification; https://cir.nii.ac.jp/crid/2120589364847385472
• 関連情報（URI）: http://id.ndl.go.jp/digimeta/11018907; https://dl.ndl.go.jp/pid/11018907; http://link.springer.com/article/10.1186/s40645-017-0157-2/fulltext.html; http://link.springer.com/content/pdf/10.1186/s40645-017-0157-2.pdf
• 参照: A Probabilistic Framework to Model Distributions of VS30; https://cir.nii.ac.jp/crid/1360009142817776896; Remote Data in Fluvial Geomorphology: Characteristics and Applications; https://cir.nii.ac.jp/crid/1360580232164495744; VS30 Seismic Microzoning Based on a Geomorphology Map: Experimental Case Study of Chiang Mai, Chiang Rai, and Lamphun, Thailand; https://cir.nii.ac.jp/crid/1362257544118386048; Classification of topography for ground vulnerability assessment of alluvial plains and mountains of Japan using 30 m DEM; https://cir.nii.ac.jp/crid/2050307417125248384
• 参照: Parameter-Based Performance Analysis of Object-Based Image Analysis Using Aerial and Quikbird-2 Images; https://cir.nii.ac.jp/crid/1360011143772061056; Opening mode of the Japan Sea inferred from the palaeomagnetism of the Japan Arc; https://cir.nii.ac.jp/crid/1360011144800888064; A Site-Conditions Map for California Based on Geology and Shear-Wave Velocity; https://cir.nii.ac.jp/crid/1360011145748949376; 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; Digital elevation model grid size, landscape representation, and hydrologic simulations; https://cir.nii.ac.jp/crid/1360292619235348992; Localized damage caused by topographic amplification during the 2010 M 7.0 Haiti earthquake; https://cir.nii.ac.jp/crid/1360564063957656064; Quantitative analysis of land surface topography; https://cir.nii.ac.jp/crid/1360574094997855744; Siberian gas venting and the end-Permian environmental crisis; https://cir.nii.ac.jp/crid/1360574095154886400; A high‐accuracy map of global terrain elevations; https://cir.nii.ac.jp/crid/1360846639281378176; DEM resolution dependencies of terrain attributes across a landscape; https://cir.nii.ac.jp/crid/1360855569784111872; 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; Topographic parameterization in continental hydrology: a study in scale; https://cir.nii.ac.jp/crid/1361699993855986176; A Terrain-Based Site-Conditions Map of California with Implications for the Contiguous United States; https://cir.nii.ac.jp/crid/1361699995388360960; Modeling the effects of elevation data resolution on the performance of topography-based watershed runoff simulation; https://cir.nii.ac.jp/crid/1361699996101767040; 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; Influence of DEM resolution on drainage network extraction: A multifractal analysis; https://cir.nii.ac.jp/crid/1361981470050083072; Application of the topographic position index to heterogeneous landscapes; https://cir.nii.ac.jp/crid/1361981470562467200; Geomorphometry from SRTM; https://cir.nii.ac.jp/crid/1362544419841659136; Landscape similarity, retrieval, and machine mapping of physiographic units; https://cir.nii.ac.jp/crid/1362544420614290048; Regression analysis of Vs30 using topographic attributes from a 50-m DEM; https://cir.nii.ac.jp/crid/1362544421111180416; Expert-driven semi-automated geomorphological mapping for a mountainous area using a laser DTM; https://cir.nii.ac.jp/crid/1362544421411374336; A Next Generation<i>V</i>_<i>S</i>30Map for California Based on Geology and Topography; https://cir.nii.ac.jp/crid/1362825895246424960; The new global lithological map database GLiM: A representation of rock properties at the Earth surface; https://cir.nii.ac.jp/crid/1362825896114836608; 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; Using object-based geomorphometry for hydro-geomorphological analysis in a Mediterranean research catchment; https://cir.nii.ac.jp/crid/1363107371352497792; A New Typology for Mountains and Other Relief Classes; https://cir.nii.ac.jp/crid/1363388843511341184; Carbonate platform flanks: slope angle and sediment fabric; https://cir.nii.ac.jp/crid/1363388843562430848; Evaluation of remote sensing‐based seismic site characterization using earthquake damage data; https://cir.nii.ac.jp/crid/1363388843630318720; An automated method to extract fluvial terraces from LIDAR based high resolution Digital Elevation Models: The Oiartzun valley, a case study in the Cantabrian Margin; https://cir.nii.ac.jp/crid/1363388844102534400; Landform classification of New Mexico by computer; https://cir.nii.ac.jp/crid/1363670319520474624; Scale-dependency of LiDAR derived terrain attributes in quantitative soil-landscape modeling: Effects of grid resolution vs. neighborhood extent; https://cir.nii.ac.jp/crid/1363670319533683200; Fluvial geomorphology and paleohydrology in Japan; https://cir.nii.ac.jp/crid/1363670321207071488; Digital Elevation Accuracy and Grid Cell Size: Effects on Estimated Terrain Attributes; https://cir.nii.ac.jp/crid/1363951794189862400; Characterising spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methods; https://cir.nii.ac.jp/crid/1363951795314657792; Geomorphological Maps of Alluvial Plains and their Utilization for Mitigation of Natural Hazards: https://cir.nii.ac.jp/crid/1390282679303577984; 標高データを用いた画像処理手法による地形分類; https://cir.nii.ac.jp/crid/1390282679416126080; Randolph Glacier Inventory 6.0; https://cir.nii.ac.jp/crid/1881146592454508800
• 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; 学術機関リポジトリデータベース; https://irdb.nii.ac.jp
• 書誌ID（NDLBibID）: 11018907; http://id.ndl.go.jp/bib/11018907