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https://doi.org/10.2139/ssrn.4680890

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inferredcites →https://doi.org/10.1002/(sici)1096-9837(199807)23:7<581::aid-esp863>3.0.co;2-sopenalex-extracted
Geomorphological signatures: classification of aggregated slope unit objects from digital elevation and remote sensing data
inferredcites →https://doi.org/10.1007/s10064-018-1389-0openalex-extracted
A new slope unit extraction method for regional landslide analysis based on morphological image analysis
inferredcites →https://doi.org/10.1007/s10064-020-01849-0openalex-extracted
Landslide susceptibility mapping along the upper Jinsha River, south-western China: a comparison of hydrological and curvature watershed methods for slope unit classification
inferredcites →https://doi.org/10.1007/s10346-015-0657-3openalex-extracted
Landslide susceptibility mapping by combining the analytical hierarchy process and weighted linear combination methods: a case study in the upper Lo River catchment (Vietnam)
inferredcites →https://doi.org/10.1007/s10346-021-01756-9openalex-extracted
Efficient and automatic extraction of slope units based on multi-scale segmentation method for landslide assessments
inferredcites →https://doi.org/10.1007/s11069-011-9846-0openalex-extracted
Slope units-based flow susceptibility model: using validation tests to select controlling factors
inferredcites →https://doi.org/10.1007/s11629-021-7057-zopenalex-extracted
Landslide susceptibility mapping using the infinite slope, SHALSTAB, SINMAP, and TRIGRS models in Serra do Mar, Brazil
inferredcites →https://doi.org/10.1007/s11629-022-7333-6openalex-extracted
Early landslide mapping with slope units division and multi-scale object-based image analysis — A case study in the Xianshui River basin of Sichuan, China
inferredcites →https://doi.org/10.1007/s11629-022-7789-4openalex-extracted
Prediction of the instability probability for rainfall induced landslides: the effect of morphological differences in geomorphology within mapping units
inferredcites →https://doi.org/10.1007/s12583-021-1407-1openalex-extracted
Landslide Susceptibility Mapping in Terms of the Slope-Unit or Raster-Unit, Which is Better?
inferredcites →https://doi.org/10.1016/j.geomorph.2008.02.011openalex-extracted
Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China
inferredcites →https://doi.org/10.1016/j.geomorph.2011.10.031openalex-extracted
Mean-curvature watersheds: A simple method for segmentation of a digital elevation model into terrain units
inferredcites →https://doi.org/10.1016/j.geomorph.2013.12.039openalex-extracted
Scaling properties of rainfall induced landslides predicted by a physically based model
inferredcites →https://doi.org/10.1016/j.geomorph.2020.107124openalex-extracted
Parameter-free delineation of slope units and terrain subdivision of Italy
inferredcites →https://doi.org/10.1016/j.geomorph.2021.107887openalex-extracted
A grid-based physical model to analyze the stability of slope unit
inferredcites →https://doi.org/10.1016/j.gr.2023.02.007openalex-extracted
Uncertainty Analysis of Non-Landslide Sample Selection in Landslide Susceptibility Prediction Using Slope Unit-Based Machine Learning Models
inferredcites →https://doi.org/10.1016/j.isprsjprs.2015.04.010openalex-extracted
Scale parameter selection by spatial statistics for GeOBIA: Using mean-shift based multi-scale segmentation as an example
inferredcites →https://doi.org/10.1016/j.jrmge.2022.07.009openalex-extracted
Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors
inferredcites →https://doi.org/10.1016/j.scitotenv.2020.138244openalex-extracted
High-resolution digital mapping of soil organic carbon and soil total nitrogen using DEM derivatives, Sentinel-1 and Sentinel-2 data based on machine learning algorithms
inferredcites →https://doi.org/10.1016/s0166-2481(08)00007-xopenalex-extracted
Chapter 7 Land-Surface Parameters and Objects in Hydrology
inferredcites →https://doi.org/10.1051/matecconf/201823204070openalex-extracted
A new slope unit extraction method based on improved marked watershed
inferredcites →https://doi.org/10.1061/41183(418)87openalex-extracted
Delineation of Slope Profiles from Digital Elevation Models for Landslide Hazard Analysis
inferredcites →https://doi.org/10.1109/jstars.2022.3233043openalex-extracted
Susceptibility-Guided Landslide Detection Using Fully Convolutional Neural Network
inferredcites →https://doi.org/10.1139/t94-031openalex-extracted
Landslide risk assessment and acceptable risk
inferredcites →https://doi.org/10.1155/2022/9020874openalex-extracted
Analytical Analysis of Infinite Heterogeneous Slope Stability considering Suction Influence
inferredcites →https://doi.org/10.13577/j.jnd.2019.0615openalex-extracted
Comparative study of landslide susceptibility assessment based on different evaluation units
inferredcites →https://doi.org/10.14358/pers.84.11.681openalex-extracted
Coupling Relationship Among Scale Parameter, Segmentation Accuracy, and Classification Accuracy In GeOBIA
inferredcites →https://doi.org/10.1680/geot.1999.49.6.835openalex-extracted
Slope stability analysis by strength reduction
inferredcites →https://doi.org/10.3389/fenvs.2022.1009433openalex-extracted
A comparative study for landslide susceptibility assessment using machine learning algorithms based on grid unit and slope unit
inferredcites →https://doi.org/10.3390/ijgi12020037openalex-extracted
Landslide Susceptibility Assessment in the Japanese Archipelago Based on a Landslide Distribution Map
inferredcites →https://doi.org/10.3390/ijgi9040274openalex-extracted
Identification and Extraction of Geomorphological Features of Landslides Using Slope Units for Landslide Analysis
inferredcites →https://doi.org/10.3390/land12010193openalex-extracted
Classifying Slope Unit by Combining Terrain Feature Lines Based on Digital Elevation Models
inferredcites →https://doi.org/10.3390/rs14143444openalex-extracted
An Improved Method for the Evaluation and Local Multi-Scale Optimization of the Automatic Extraction of Slope Units in Complex Terrains
inferredcites →https://doi.org/10.3390/rs14174245openalex-extracted
Slope-Unit Scale Landslide Susceptibility Mapping Based on the Random Forest Model in Deep Valley Areas
inferredcites →https://doi.org/10.3390/rs14184436openalex-extracted
Landslide Susceptibility Prediction Considering Neighborhood Characteristics of Landslide Spatial Datasets and Hydrological Slope Units Using Remote Sensing and GIS Technologies
inferredcites →https://doi.org/10.5194/gmd-9-3975-2016openalex-extracted
Automatic delineation of geomorphological slope units with r.slopeunits v1.0 and their optimization for landslide susceptibility modeling
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