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Optimizing landslide susceptibility zonation: Effects of DEM spatial resolution and slope unit delineation on logistic regression models
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/esp.1155openalex-snapshot
DEM resolution effects on shallow landslide hazard and soil redistribution modelling
inferredcites →https://doi.org/10.1002/esp.1161openalex-snapshot
Morphology and sedimentology of a complex debris flow in a clay‐shale basin
inferredcites →https://doi.org/10.1002/esp.3290160505openalex-snapshot
GIS techniques and statistical models in evaluating landslide hazard
inferredcites →https://doi.org/10.1007/978-94-009-4029-1_34openalex-snapshot
Drainage and Divide Networks Derived from High-Fidelity Digital Terrain Models
inferredcites →https://doi.org/10.1007/s10064-013-0538-8openalex-snapshot
Recommendations for the quantitative analysis of landslide risk
inferredcites →https://doi.org/10.1007/s100640050066openalex-snapshot
Landslide hazard assessment: summary review and new perspectives
inferredcites →https://doi.org/10.1007/s11069-015-1960-yopenalex-snapshot
Comparing landslide susceptibility models in the Río El Estado watershed on the SW flank of Pico de Orizaba volcano, Mexico
inferredcites →https://doi.org/10.1007/s11431-008-6009-yopenalex-snapshot
Effects of raster resolution on landslide susceptibility mapping: A case study of Shenzhen
inferredcites →https://doi.org/10.1016/j.enggeo.2008.03.014openalex-snapshot
Guidelines for landslide susceptibility, hazard and risk zoning for land-use planning
inferredcites →https://doi.org/10.1016/j.enggeo.2008.03.022openalex-snapshot
Guidelines for landslide susceptibility, hazard and risk zoning for land use planning
inferredcites →https://doi.org/10.1016/j.enggeo.2009.12.004openalex-snapshot
Techniques for evaluating the performance of landslide susceptibility models
inferredcites →https://doi.org/10.1016/j.geomorph.2004.06.010openalex-snapshot
The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan
inferredcites →https://doi.org/10.1016/j.geomorph.2006.04.007openalex-snapshot
Estimating the quality of landslide susceptibility models
inferredcites →https://doi.org/10.1016/j.geomorph.2007.02.020openalex-snapshot
Landslide susceptibility assessment by bivariate methods at large scales: Application to a complex mountainous environment
inferredcites →https://doi.org/10.1016/j.geomorph.2009.06.020openalex-snapshot
Optimal landslide susceptibility zonation based on multiple forecasts
inferredcites →https://doi.org/10.1016/j.geomorph.2009.07.006openalex-snapshot
Despeckling SRTM and other topographic data with a denoising algorithm
inferredcites →https://doi.org/10.1016/j.geomorph.2014.07.015openalex-snapshot
The effect of DEM resolution on the computation of the factor of safety using an infinite slope model
inferredcites →https://doi.org/10.1016/j.pce.2010.04.008openalex-snapshot
Effect of pixel size on cartographic representation of shallow and deep-seated landslide, and its collateral effects on the forecasting of landslides by SINMAP and Multiple Logistic Regression landslide models
inferredcites →https://doi.org/10.1016/s0013-7952(03)00069-3openalex-snapshot
Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA
inferredcites →https://doi.org/10.1016/s0013-7952(03)00086-3openalex-snapshot
Instability conditions of marly hillslopes: towards landsliding or gullying? The case of the Barcelonnette Basin, South East France
inferredcites →https://doi.org/10.1016/s0169-555x(99)00045-8openalex-snapshot
Landslides and climatic conditions in the Barcelonnette and Vars basins (Southern French Alps, France)
inferredcites →https://doi.org/10.1016/s0169-555x(99)00078-1openalex-snapshot
Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
inferredcites →https://doi.org/10.1029/ws002openalex-snapshot
Land Use and Watersheds: Human Influence on Hydrology and Geomorphology in Urban and Forest Areas
inferredcites →https://doi.org/10.1080/01431160600617194openalex-snapshot
Parameter selection for region‐growing image segmentation algorithms using spatial autocorrelation
inferredcites →https://doi.org/10.1109/igarss.2003.1295313openalex-snapshot
SAR DEM filtering by mean of Bayesian and multi-scale, nonstationary methods
inferredcites →https://doi.org/10.1111/j.2517-6161.1958.tb00292.xopenalex-snapshot
The Regression Analysis of Binary Sequences
inferredcites →https://doi.org/10.1148/radiology.143.1.7063747openalex-snapshot
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
inferredcites →https://doi.org/10.1186/2193-1801-2-523openalex-snapshot
Landslide hazard assessment: recent trends and techniques
inferredcites →https://doi.org/10.2113/gseegeosci.xxv.1.39openalex-snapshot
A Probabilistic Approach to Landslide Hazard Mapping in Cincinnati, Ohio, with Applications for Economic Evaluation
inferredcites →https://doi.org/10.3166/rig.16.499-525openalex-snapshot
Analyse spatiale, évaluation et cartographie du risque glissement de terrain
inferredcites →https://doi.org/10.5194/gmd-9-3533-2016openalex-snapshot
LAND-SE: a software for statistically based landslide susceptibility zonation, version 1.0
inferredcites →https://doi.org/10.5194/gmd-9-3975-2016openalex-snapshot
Automatic delineation of geomorphological slope units with r.slopeunits v1.0 and their optimization for landslide susceptibility modeling
inferredcites →https://doi.org/10.5194/nhess-13-2815-2013openalex-snapshot
Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues
inferredcites →https://doi.org/10.5194/nhess-15-2369-2015openalex-snapshot
Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study
inferredcites →https://doi.org/10.5194/nhess-5-853-2005openalex-snapshot
Spatial prediction models for landslide hazards: review, comparison and evaluation
inferredcites →https://doi.org/10.5194/nhess-5-979-2005openalex-snapshot
Landslide susceptibility assessment of SE Bartin (West Black Sea region, Turkey) by artificial neural networks
inferredcites →https://doi.org/10.5194/nhess-9-507-2009openalex-snapshot
Combined landslide inventory and susceptibility assessment based on different mapping units: an example from the Flemish Ardennes, Belgium
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4662609openalex-extracted
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inferred← citeshttps://doi.org/10.2139/ssrn.4786688openalex-extracted
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inferred← citeshttps://doi.org/10.1002/esp.5777openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/nag.3199openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-60227-7_26openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-44296-4_19openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-96-9132-6_4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00603-025-04651-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10037-020-00143-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10064-019-01572-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10064-021-02280-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10064-023-03163-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10064-023-03328-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10346-019-01279-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10346-020-01591-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10346-021-01756-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11069-020-03899-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11069-020-03997-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11069-020-04022-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11069-021-04691-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11069-023-06092-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11069-023-06104-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11069-024-06576-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11069-026-08110-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11629-018-4833-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11629-018-5225-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11629-020-6145-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11629-020-6497-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12517-022-10319-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12665-021-09741-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12665-022-10487-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13146-025-01221-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13762-023-05223-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s42452-024-05646-2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s44288-026-00489-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-12-815226-3.00024-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-443-13605-4.00003-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-443-30036-3.00015-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.apacoust.2019.107029openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.asr.2024.07.013openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.catena.2019.104137openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.catena.2019.104211openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.catena.2019.104344openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.catena.2021.105355openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.catena.2022.106428openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.catena.2023.107657openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.catena.2023.107757openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.earscirev.2022.104125openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.earscirev.2024.104927openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.earscirev.2026.105682openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ecolind.2024.112073openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.enggeo.2019.105237openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.enggeo.2021.106301openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.enggeo.2024.107584openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.envsoft.2019.02.016openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.envsoft.2025.106367openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.geoderma.2025.117271openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.geomorph.2018.10.022openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.geomorph.2020.107041openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.geomorph.2020.107084openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.geomorph.2021.107623openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.gr.2023.02.007openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.gr.2024.04.013openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.gsf.2020.10.009openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.gsf.2021.101248openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.gsf.2021.101249openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.gsf.2023.101765openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.gsf.2024.101782openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ijdrr.2026.106243openalex-snapshot
A multi-hazard framework to assess co-seismic ground instabilities scenarios: Application to a virtual test bed
inferred← citeshttps://doi.org/10.1016/j.isci.2026.117271openalex-snapshot
Global satellite analysis reveals landslide susceptibility peaks at intermediate vegetation density
inferred← citeshttps://doi.org/10.1016/j.jenvman.2024.123474openalex-snapshot
Spatiotemporal modeling and projection framework of rainfall-induced landslide risk under climate change
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2024.131349openalex-snapshot
Effects of DEM resolution and application of solely DEM-derived indicators on groundwater potential mapping in the mountainous area
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2026.136435openalex-snapshot
Regional landslide early warning through machine-learning-based rainfall threshold and hydromorphological slope units
inferred← citeshttps://doi.org/10.1016/j.jrmge.2023.07.026openalex-snapshot
How do the landslide and non-landslide sampling strategies impact landslide susceptibility assessment? — A catchment-scale case study from China
inferred← citeshttps://doi.org/10.1016/j.pce.2025.103930openalex-snapshot
Unravelling the impact of landslide inventory on landslide susceptibility in the Indian Himalaya
inferred← citeshttps://doi.org/10.1016/j.rsase.2020.100364openalex-snapshot
Effects of raster resolution on real probability of landslides
inferred← citeshttps://doi.org/10.1016/j.rsase.2026.102091openalex-snapshot
Slope-unit based landslide susceptibility mapping using explainable ensemble machine learning and spatial uncertainty analysis in the Chittagong Hill Tracts, Bangladesh
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2018.07.396openalex-snapshot
How can statistical and artificial intelligence approaches predict piping erosion susceptibility?
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2024.175277openalex-snapshot
Shifting from traditional landslide occurrence modeling to scenario estimation with a “glass-box” machine learning
inferred← citeshttps://doi.org/10.1029/2023rg000825openalex-snapshot
Pan‐European Landslide Risk Assessment: From Theory to Practice
inferred← citeshttps://doi.org/10.1029/2025jf008423openalex-snapshot
A Temporal Look at the Influence of Topographic Amplification on Earthquake‐Triggered Landslides in 3D Seismic Simulations
inferred← citeshttps://doi.org/10.1038/s41598-021-00780-yopenalex-snapshot
Assessment of earthquake-induced landslide inventories and susceptibility maps using slope unit-based logistic regression and geospatial statistics
inferred← citeshttps://doi.org/10.1038/s41598-022-04992-8openalex-snapshot
Surface temperature controls the pattern of post-earthquake landslide activity
inferred← citeshttps://doi.org/10.1038/s41598-024-52145-wopenalex-snapshot
Research on the influence of different sampling resolution and spatial resolution in sampling strategy on landslide susceptibility mapping results
inferred← citeshttps://doi.org/10.1038/s41598-025-08774-wopenalex-snapshot
Evaluation of landslide susceptibility of mountain highway based on RF and SVM models
inferred← citeshttps://doi.org/10.1038/s41598-025-30692-0openalex-snapshot
Comparative assessment of landslide susceptibility in Fugu town using machine learning models at multiple grid resolutions
inferred← citeshttps://doi.org/10.1051/matecconf/201823204070openalex-snapshot
A new slope unit extraction method based on improved marked watershed
inferred← citeshttps://doi.org/10.1080/10106049.2019.1582716openalex-snapshot
Landslide susceptibility assessment using different slope units based on the evidential belief function model
inferred← citeshttps://doi.org/10.1080/10106049.2019.1585482openalex-snapshot
Landslide susceptibility mapping using Naïve Bayes and Bayesian network models in Umyeonsan, Korea
inferred← citeshttps://doi.org/10.1080/10106049.2022.2076928openalex-snapshot
An interpretable model for the susceptibility of rainfall-induced shallow landslides based on SHAP and XGBoost
inferred← citeshttps://doi.org/10.1080/10106049.2022.2088863openalex-snapshot
Exploring aspects affecting the predicted capacity of landslide susceptibility based on machine learning technology
inferred← citeshttps://doi.org/10.1080/10106049.2022.2136255openalex-snapshot
Understanding the scale effects of topographical variables on landslide susceptibility mapping in Sikkim Himalaya using deep learning approaches
inferred← citeshttps://doi.org/10.1080/13632469.2025.2582470openalex-snapshot
Unsupervised Machine Learning and GIS-Based Fusion for Landslide Susceptibility Mapping: A Case Study from Mashair Mina, Saudi Arabia
inferred← citeshttps://doi.org/10.1080/17445647.2022.2052768openalex-snapshot
Geomorphological slope units of the Himalayas
inferred← citeshttps://doi.org/10.1080/17499518.2024.2422481openalex-snapshot
Physically based probabilistic prediction of regional rainfall-induced shallow landslides: from initiation to runout analysis
inferred← citeshttps://doi.org/10.1080/19475705.2018.1458050openalex-snapshot
Topography-driven satellite imagery analysis for landslide mapping
inferred← citeshttps://doi.org/10.1080/19475705.2022.2097451openalex-snapshot
Influence of DEM resolution on landslide simulation performance based on the Scoops3D model
inferred← citeshttps://doi.org/10.1080/19475705.2023.2190858openalex-snapshot
Insights into spatial differential characteristics of landslide susceptibility from sub-region to whole-region cased by northeast Chongqing, China
inferred← citeshttps://doi.org/10.1080/19475705.2024.2406302openalex-snapshot
Unsupervised machine learning with different sampling strategies and topographic factors for distinguishing between landslide source and runout areas to improve landslide inventory production
inferred← citeshttps://doi.org/10.1080/19475705.2025.2493211openalex-snapshot
Evaluating thresholds: the impact of terrain modifications on landslide susceptibility in a mountainous city
inferred← citeshttps://doi.org/10.1080/19475705.2025.2535531openalex-snapshot
Evaluation of different factor assignment methods for slope unit-based landslide susceptibility assessment: a case study in Fengjie County, China
inferred← citeshttps://doi.org/10.1080/19475705.2026.2718573openalex-snapshot
Extract fine slope units for better seismic landslide susceptibility assessment using twice multi-scale segmentation on DEM grids
inferred← citeshttps://doi.org/10.1109/icmrsisiit46373.2020.9405915openalex-snapshot
Earthquake-Induced Landslide Susceptibility Analysis :The Effect of DEM Resolution
inferred← citeshttps://doi.org/10.1111/tgis.12795openalex-snapshot
Object‐based large‐scale terrain classification combined with segmentation optimization and terrain features: A case study in China
inferred← citeshttps://doi.org/10.1155/2021/8846779openalex-snapshot
Innovative Landslide Susceptibility Mapping Portrayed by CA‐AQD and K‐Means Clustering Algorithms
inferred← citeshttps://doi.org/10.1155/2022/9923775openalex-snapshot
Landslide Susceptibility Evaluation Using Different Slope Units Based on BP Neural Network
inferred← citeshttps://doi.org/10.1177/03091333251380439openalex-snapshot
Integrating GIS and comparative multi-criteria decision-making techniques for landslide susceptibility assessment
inferred← citeshttps://doi.org/10.1177/03091333261458667openalex-snapshot
Reducing subjectivity in landslide susceptibility mapping: machine learning-informed multi-criteria analysis with spatial uncertainty assessment
inferred← citeshttps://doi.org/10.1186/s40645-019-0290-1openalex-snapshot
Scaling land-surface variables for landslide detection
inferred← citeshttps://doi.org/10.1371/journal.pone.0229818openalex-snapshot
A landslide susceptibility map based on spatial scale segmentation: A case study at Zigui-Badong in the Three Gorges Reservoir Area, China
inferred← citeshttps://doi.org/10.1590/01047760202228012976openalex-snapshot
Assessment of alternative forest road routes and landslide susceptibility mapping using machine learning
inferred← citeshttps://doi.org/10.18517/ijaseit.12.1.14737openalex-snapshot
Evaluation of Parameter Selection in the Bivariate Statistical-based Landslide Susceptibility Modeling (Case Study: the Citarik Sub-watershed, Indonesia)
inferred← citeshttps://doi.org/10.21203/rs.3.rs-148562/v1openalex-snapshot
DEM Resolutions for Landslide Susceptibility Modeling
inferred← citeshttps://doi.org/10.21203/rs.3.rs-148562/v2openalex-snapshot
DEM Resolutions for Landslide Susceptibility Modeling
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2512498/v1openalex-snapshot
Comparative study on landslide susceptibility of different evaluation units based on LightGBM-SHAP
inferred← citeshttps://doi.org/10.22060/ajce.2018.14235.5465openalex-snapshot
A Combined Model for Landslide Susceptibility, Hazard and Risk Assessment
inferred← citeshttps://doi.org/10.26848/rbgf.v13.5.p2417-2432openalex-snapshot
Implicações da resolução e fonte de modelos altimétricos na análise quantitativa de atributos geomorfométricos para bacia hidrográfica do córrego Guariroba, Campo Grande, MS
inferred← citeshttps://doi.org/10.26848/rbgf.v15.1.p155-175openalex-snapshot
Mapa Geomorfológico do Estado do Rio de Janeiro
inferred← citeshttps://doi.org/10.29150/jhrs.v13.2.p164-175openalex-snapshot
Análise Hidromorfológica como Subsídio Para Estudo De Suscetibilidade a Escorregamento Gravitacional do Bairro de Águas Compridas, Olinda-PE
inferred← citeshttps://doi.org/10.2991/ijcis.11.1.90openalex-snapshot
Salary Prediction in the IT Job Market with Few High-Dimensional Samples: A Spanish Case Study
inferred← citeshttps://doi.org/10.31223/x5q92sopenalex-snapshot
Landslide susceptibility maps of Italy: lesson learnt from dealing with multiple landslide classes and the uneven spatial distribution of the national inventory
inferred← citeshttps://doi.org/10.31223/x5xt1fopenalex-snapshot
From space-time landslide susceptibility to landslide risk forecast
inferred← citeshttps://doi.org/10.3389/feart.2023.1118160openalex-snapshot
Application of different watershed units to debris flow susceptibility mapping: A case study of Northeast China
inferred← citeshttps://doi.org/10.3390/app10072518openalex-snapshot
Exploring the Impact of Multitemporal DEM Data on the Susceptibility Mapping of Landslides
inferred← citeshttps://doi.org/10.3390/app15094647openalex-snapshot
An Automated and Efficient Slope Unit Division Method Coupled with Computer Graphics and Hydrological Principles
inferred← citeshttps://doi.org/10.3390/geosciences10120488openalex-snapshot
The Impact of Quality of Digital Elevation Models on the Result of Landslide Susceptibility Modeling Using the Method of Weights of Evidence
inferred← citeshttps://doi.org/10.3390/geosciences11080333openalex-snapshot
Modeling Shallow Landslide Susceptibility and Assessment of the Relative Importance of Predisposing Factors, through a GIS-Based Statistical Analysis
inferred← citeshttps://doi.org/10.3390/geosciences11120495openalex-snapshot
Landslide Susceptibility Mapping in the Vrancea-Buzău Seismic Region, Southeast Romania
inferred← citeshttps://doi.org/10.3390/geosciences9080360openalex-snapshot
Impact of Spatial Resolution of Digital Elevation Model on Landslide Susceptibility Mapping: A Case Study in Kullu Valley, Himalayas
inferred← citeshttps://doi.org/10.3390/geotechnics4030047openalex-snapshot
Landslide Analysis with Incomplete Data: A Framework for Critical Parameter Estimation
inferred← citeshttps://doi.org/10.3390/ijerph17186437openalex-snapshot
Quantitative Analysis of Different Environmental Factor Impacts on Land Cover in Nisos Elafonisos, Crete, Greece
inferred← citeshttps://doi.org/10.3390/ijerph17218055openalex-snapshot
Integration of Spatial Probability and Size in Slope-Unit-Based Landslide Susceptibility Assessment: A Case Study
inferred← citeshttps://doi.org/10.3390/ijgi9040274openalex-snapshot
Identification and Extraction of Geomorphological Features of Landslides Using Slope Units for Landslide Analysis
inferred← citeshttps://doi.org/10.3390/ijgi9090552openalex-snapshot
Earth Observation and GIS-Based Analysis for Landslide Susceptibility and Risk Assessment
inferred← citeshttps://doi.org/10.3390/land12010193openalex-snapshot
Classifying Slope Unit by Combining Terrain Feature Lines Based on Digital Elevation Models
inferred← citeshttps://doi.org/10.3390/land15091702openalex-snapshot
Integrating Grid-Based Random Forest Predictions with Slope Units for Landslide Susceptibility Mapping
inferred← citeshttps://doi.org/10.3390/rs11060638openalex-snapshot
Evaluating GIS-Based Multiple Statistical Models and Data Mining for Earthquake and Rainfall-Induced Landslide Susceptibility Using the LiDAR DEM
inferred← citeshttps://doi.org/10.3390/rs12111826openalex-snapshot
Different Approaches to Use Morphometric Attributes in Landslide Susceptibility Mapping Based on Meso-Scale Spatial Units: A Case Study in Rio de Janeiro (Brazil)
inferred← citeshttps://doi.org/10.3390/rs12172718openalex-snapshot
Evaluating the Effects of Digital Elevation Models in Landslide Susceptibility Mapping in Rangamati District, Bangladesh
inferred← citeshttps://doi.org/10.3390/rs13163281openalex-snapshot
Landslide Susceptibility Modeling: An Integrated Novel Method Based on Machine Learning Feature Transformation
inferred← citeshttps://doi.org/10.3390/rs13245068openalex-snapshot
Susceptibility Assessment for Landslide Initiated along Power Transmission Lines
inferred← citeshttps://doi.org/10.3390/rs14030672openalex-snapshot
A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions
inferred← citeshttps://doi.org/10.3390/rs14061321openalex-snapshot
Distinct Susceptibility Patterns of Active and Relict Landslides Reveal Distinct Triggers: A Case in Northwestern Turkey
inferred← citeshttps://doi.org/10.3390/rs14143444openalex-snapshot
An Improved Method for the Evaluation and Local Multi-Scale Optimization of the Automatic Extraction of Slope Units in Complex Terrains
inferred← citeshttps://doi.org/10.3390/rs14184436openalex-snapshot
Landslide Susceptibility Prediction Considering Neighborhood Characteristics of Landslide Spatial Datasets and Hydrological Slope Units Using Remote Sensing and GIS Technologies
inferred← citeshttps://doi.org/10.3390/rs15215256openalex-snapshot
Data-Driven Landslide Spatial Prediction and Deformation Monitoring: A Case Study of Shiyan City, China
inferred← citeshttps://doi.org/10.3390/rs16132305openalex-snapshot
Regional Landslide Susceptibility Assessment and Model Adaptability Research
inferred← citeshttps://doi.org/10.3390/rs16234475openalex-snapshot
Enhancing Landslide Susceptibility Mapping by Integrating Neighboring Information in Slope Units: A Spatial Logistic Regression
inferred← citeshttps://doi.org/10.3390/rs18132169openalex-snapshot
Environmental Controls and Transition of the Baige Landslide Deformation Revealed by Time-Series Remote Sensing Observations
inferred← citeshttps://doi.org/10.3390/rs18172983openalex-snapshot
Boot-Shaped Terrain Screening and Deep Learning Semantic Segmentation for Landslide-Hazard Candidate Extraction from Airborne LiDAR DEM: A Case Study in Zhenxiong County, China
inferred← citeshttps://doi.org/10.3390/su11226285openalex-snapshot
Intrinsic Environmental Vulnerability as Shallow Landslide Susceptibility in Environmental Impact Assessment
inferred← citeshttps://doi.org/10.3390/su142113739openalex-snapshot
Comparative Study of Artificial Neural Network and Random Forest Model for Susceptibility Assessment of Landslides Induced by Earthquake in the Western Sichuan Plateau, China
inferred← citeshttps://doi.org/10.3390/sym12061047openalex-snapshot
Landslide Susceptibility Mapping Using the Slope Unit for Southeastern Helong City, Jilin Province, China: A Comparison of ANN and SVM
inferred← citeshttps://doi.org/10.3390/w13233422openalex-snapshot
Generation of Homogeneous Slope Units Using a Novel Object-Oriented Multi-Resolution Segmentation Method
inferred← citeshttps://doi.org/10.3390/w17131877openalex-snapshot
Scale Effects in Landslide Susceptibility Assessment: Integrating Slope Unit Division and SHAP-Based Interpretability in a Typical River Basin
inferred← citeshttps://doi.org/10.5194/essd-14-4129-2022openalex-snapshot
A new digital lithological map of Italy at the 1:100 000 scale for geomechanical modelling
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