Scaling land-surface variables for landslide detection

• 資料種別: 記事
• タイトル: Scaling land-surface variables for landslide detection
• 著者・編者: Flavius Sîrbu; Lucian Drăguț; Takashi Oguchi
• 出版事項: 日本 : Springer Nature
• 出版年月日等: 2019-06-13
• 出版年（W3CDTF）: 2019-06-13
• タイトル（掲載誌）: Progress in earth and planetary science
• 巻号年月日等（掲載誌）: 6(44）
• 掲載巻: 6(44）
• 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/s40645-019-0290-1; https://doi.org/10.1186/s40645-019-0290-1
• 国立国会図書館永続的識別子: info:ndljp/pid/11340143; https://dl.ndl.go.jp/pid/11340143
• 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）: 2019-08-15T21:28:38+09:00
• 保存日（W3CDTF）: 2019-08-15
• 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/11249488; https://dl.ndl.go.jp/pid/11249488
• 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/s40645-019-0290-1; https://doi.org/10.1186/s40645-019-0290-1
• オンライン閲覧公開範囲: インターネット公開
• 関連情報: Additional file 1: of Scaling land-surface variables for landslide detection; https://cir.nii.ac.jp/crid/1883961343050096384
• 関連情報（URI）: http://id.ndl.go.jp/digimeta/11340143; https://dl.ndl.go.jp/pid/11340143; http://link.springer.com/content/pdf/10.1186/s40645-019-0290-1.pdf; http://link.springer.com/article/10.1186/s40645-019-0290-1/fulltext.html
• 参照: Influence of sampling design on landslide susceptibility modeling in lithologically heterogeneous areas; https://cir.nii.ac.jp/crid/1360857593686591744
• 参照: The sensitivity of catchment hypsometry and hypsometric properties to DEM resolution and polynomial order; https://cir.nii.ac.jp/crid/1360011143880850048; Geospatial technologies and digital geomorphological mapping: Concepts, issues and research; https://cir.nii.ac.jp/crid/1360011144074666880; A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility; https://cir.nii.ac.jp/crid/1360011145582062976; Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives; https://cir.nii.ac.jp/crid/1360011145697044864; 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 influence of DEM resolution on seismic landslide hazard assessment based upon the Newmark displacement method: a case study in the loess area of Tianshui, China; https://cir.nii.ac.jp/crid/1360292618555172864; Digital elevation model grid size, landscape representation, and hydrologic simulations; https://cir.nii.ac.jp/crid/1360292619235348992; Random Forests; https://cir.nii.ac.jp/crid/1360574092892023168; Brief communication: Using averaged soil moisture estimates to improve the performances of a regional-scale landslide early warning system; https://cir.nii.ac.jp/crid/1360574094118278784; Optimization of scale and parametrization for terrain segmentation: An application to soil-landscape modeling; https://cir.nii.ac.jp/crid/1360574094125234560; Digital terrain modelling: A review of hydrological, geomorphological, and biological applications; https://cir.nii.ac.jp/crid/1360574094203751296; ROCR: visualizing classifier performance in R; https://cir.nii.ac.jp/crid/1360574094967304832; Earthquake-triggered landslides affecting a UNESCO Natural Site: the 2017 Jiuzhaigou Earthquake in the World National Park, China; https://cir.nii.ac.jp/crid/1360574095501508736; Multi-Resolution Landslide Susceptibility Analysis Using a DEM and Random Forest; https://cir.nii.ac.jp/crid/1360846645913724672; Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia; https://cir.nii.ac.jp/crid/1360855568656855936; Multi-Scale Digital Terrain Modelling and Analysis; https://cir.nii.ac.jp/crid/1360855569336542080; Data-driven mapping of the potential mountain permafrost distribution; https://cir.nii.ac.jp/crid/1360855571026946048; Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster; https://cir.nii.ac.jp/crid/1361137043407734016; Integrating physical and empirical landslide susceptibility models using generalized additive models; https://cir.nii.ac.jp/crid/1361137043472811008; A GIS-Based Multivariate Statistical Analysis for Shallow Landslide Susceptibility Mapping in La Pobla de Lillet Area (Eastern Pyrenees, Spain); https://cir.nii.ac.jp/crid/1361137045371255040; Optimizing landslide susceptibility zonation: Effects of DEM spatial resolution and slope unit delineation on logistic regression models; https://cir.nii.ac.jp/crid/1361699993916510976; Spatial prediction models for landslide hazards: review, comparison and evaluation; https://cir.nii.ac.jp/crid/1361699995917618048; Comparison of differences in resolution and sources of controlling factors for gully erosion susceptibility mapping; https://cir.nii.ac.jp/crid/1361981469061735296; Sensitivity analysis of automatic landslide mapping: numerical experiments towards the best solution; https://cir.nii.ac.jp/crid/1361981469587744256; Applied Logistic Regression; https://cir.nii.ac.jp/crid/1361981471199525120; The effect of grid size on the quantification of erosion, deposition, and rill network; https://cir.nii.ac.jp/crid/1362262944191483136; A practical trial of landslide detection from single-temporal Landsat8 images using contour-based proposals and random forest: a case study of national Nepal; https://cir.nii.ac.jp/crid/1362262944490829184; Effects of DEM sources on hydrologic applications; https://cir.nii.ac.jp/crid/1362544419645009152; Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping; https://cir.nii.ac.jp/crid/1362544420106402176; Linking landslide susceptibility to sediment yield at regional scale: application to Romania; https://cir.nii.ac.jp/crid/1363107369993229696; Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues; https://cir.nii.ac.jp/crid/1363107370426700288; Automated co‐registration and calibration in SfM photogrammetry for landslide change detection; https://cir.nii.ac.jp/crid/1363107370970160128; Metrics of scale in remote sensing and GIS; https://cir.nii.ac.jp/crid/1363388844981076864; Assessing future changes in the occurrence of rainfall-induced landslides at a regional scale; https://cir.nii.ac.jp/crid/1363388846302408960; Evaluation of a spatially adaptive approach for land surface classification from digital elevation models; https://cir.nii.ac.jp/crid/1363670318223906816; A Tool for Classification and Regression Using Random Forest Methodology: Applications to Landslide Susceptibility Mapping and Soil Thickness Modeling; https://cir.nii.ac.jp/crid/1363670318747346816; Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling; https://cir.nii.ac.jp/crid/1363670319135211648; Landslide inventory maps: New tools for an old problem; https://cir.nii.ac.jp/crid/1363670319704755328; Landslide mobility and hazards: implications of the 2014 Oso disaster; https://cir.nii.ac.jp/crid/1363670320227825152; System for Automated Geoscientific Analyses (SAGA) v. 2.1.4; https://cir.nii.ac.jp/crid/1363951793651506816; A review of statistically-based landslide susceptibility models; https://cir.nii.ac.jp/crid/1363951793720020480; DEM resolution effects on shallow landslide hazard and soil redistribution modelling; https://cir.nii.ac.jp/crid/1363951794890299008; How pixel size affects a sediment connectivity index in central Belgium; https://cir.nii.ac.jp/crid/1363951795244294784; Investigating the Influence of Different DEMs on GIS-Based Cost Distance Modeling for Site Catchment Analysis of Prehistoric Sites in Andalusia; https://cir.nii.ac.jp/crid/1363951796010152192; Multi‐scale landform characterization; https://cir.nii.ac.jp/crid/1364233269444486784; Landslide susceptibility modelling using the quantitative random forest method along the northern portion of the Yukon Alaska Highway Corridor, Canada; https://cir.nii.ac.jp/crid/1364233269537400320; ShakeMap-based prediction of earthquake-induced mass movements in Switzerland calibrated on historical observations; https://cir.nii.ac.jp/crid/1364233269652227968
• 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）: 11340143; http://id.ndl.go.jp/bib/11340143