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   Articles with "non landslide" as a keyword



Machine learning and fractal theory models for landslide susceptibility mapping: Case study from the Jinsha River Basin

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recommendations! Published in 2020 at "Geomorphology"

DOI: 10.1016/j.geomorph.2019.106975

Abstract: Abstract The quality of “non-landslide” negative samples may result in unreasonable prediction results for machine learning (ML) models. The aim of this study is to improve the performance of ML models by perfecting the quality… read more here.

Keywords: machine learning; susceptibility; jinsha river; area ... See more keywords

Enhancing landslide susceptibility modelling through a novel non-landslide sampling method and ensemble learning technique

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recommendations! Published in 2024 at "Geocarto International"

DOI: 10.1080/10106049.2024.2327463

Abstract: Abstract In recent years, several catastrophic landslide events have been observed throughout the globe, threatening to lives and infrastructures. To minimize the impact of landslides, the need of landslide susceptibility map is important. The study… read more here.

Keywords: method; susceptibility; landslide susceptibility; ensemble learning ... See more keywords

Considering the effect of non-landslide sample selection on landslide susceptibility assessment

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recommendations! Published in 2024 at "Geomatics, Natural Hazards and Risk"

DOI: 10.1080/19475705.2024.2392778

Abstract: Abstract Crafting landslide susceptibility mapping is pivotal for the effective management of landslide risks. However, the influence of non-landslide sample selection on the modeling performance of landslide susceptibility assessment models remains a crucial challenge to… read more here.

Keywords: landslide sample; landslide susceptibility; selection; non landslide ... See more keywords

Optimization study on the selection method for non-landslide points based on landslide susceptibility zoning

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recommendations! Published in 2025 at "Geomatics, Natural Hazards and Risk"

DOI: 10.1080/19475705.2025.2555728

Abstract: Abstract Landslide susceptibility assessment is crucial for geological disaster prevention, and the selection of non-landslide points significantly affects evaluation results. Taking Nyingchi City, Xizang, as an example, this study explores how selection of non-landslide points… read more here.

Keywords: landslide points; susceptibility; landslide susceptibility; study ... See more keywords

Landslide susceptibility mapping with the fusion of multi-feature SVM model based FCM sampling strategy: A case study from Shaanxi Province

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recommendations! Published in 2021 at "International Journal of Image and Data Fusion"

DOI: 10.1080/19479832.2021.1961316

Abstract: ABSTRACT The quality of “non-landslide’ samples data impacts the accuracy of geological hazard risk assessment. This research proposed a method to improve the performance of support vector machine (SVM) by perfecting the quality of ‘non-landslide’… read more here.

Keywords: scenario; based fcm; model; landslide susceptibility ... See more keywords

Non-decreasable extremal Beltrami differentials of non-landslide type

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recommendations! Published in 2018 at "International Journal of Mathematics"

DOI: 10.1142/s0129167x18500660

Abstract: In this paper, we deform a uniquely-extremal Beltrami differential into different non-decreasable Beltrami differentials, and then construct non-unique extremal Beltrami differentials such that they are both non-landslide and non-decreasable. read more here.

Keywords: extremal beltrami; differentials non; beltrami differentials; non decreasable ... See more keywords

Insights from Optimized Non-Landslide Sampling and SHAP Explainability for Landslide Susceptibility Prediction

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recommendations! Published in 2025 at "Applied Sciences"

DOI: 10.3390/app15031163

Abstract: The quality of sampling data critically influences landslide susceptibility prediction accuracy. Current studies commonly use a 1:1 ratio of landslide to non-landslide samples, failing to reflect natural geographical variability. This study develops a region-specific framework… read more here.

Keywords: susceptibility; landslide susceptibility; non landslide; susceptibility prediction ... See more keywords

The Influence of Non-Landslide Sample Selection Methods on Landslide Susceptibility Prediction

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recommendations! Published in 2025 at "Land"

DOI: 10.3390/land14040722

Abstract: Non-landslide sample selection is critical in landslide susceptibility modeling due to its direct impact on model accuracy and reliability. This study compares three sample selection strategies: whole-region random selection, landslide buffer zone selection, and the… read more here.

Keywords: susceptibility; sample selection; selection; non landslide ... See more keywords