A modular framework for FAIR shallow landslide susceptibility mapping based on machine learning
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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A modular framework for FAIR shallow landslide susceptibility mapping based on machine learning ; day:8 ; month:4 ; year:2024 ; pages:1-30
Natural hazards ; (8.4.2024), 1-30
- Creator
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s11069-024-06563-8
- URN
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urn:nbn:de:101:1-2406240927112.675699622123
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:57 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Edrich, Ann-Kathrin
- Yildiz, Anil
- Roscher, Ribana
- Bast, Alexander
- Graf, Frank
- Kowalski, Julia
- SpringerLink (Online service)
Other Objects (12)
A modular framework for FAIR shallow landslide susceptibility mapping based on machine learning
A modular and scalable workflow for data-driven modelling of shallow landslide susceptibility
Shaping shallow landslide susceptibility as a function of rainfall events
Landslide Susceptibility Assessment Tools v1.0.0b – Project Manager Suite: A new modular toolkit for landslide susceptibility assessment
Evaluating performance of simplified physically based models for shallow landslide susceptibility
Estimation of Shallow Landslide Susceptibility Incorporating the Impacts of Vegetation on Slope Stability
Assessment of shallow landslide susceptibility using an artificial neural network in Enshi region, China
Implementing landslide path dependency in landslide susceptibility modelling
Physical-based rainfall-triggered shallow landslide forecasting
Comparison of earthquake-induced shallow landslide susceptibility assessment based on two-category LR and KDE-MLR
The influence of systematically incomplete shallow landslide inventories on statistical susceptibility models and suggestions for improvements
How robust are landslide susceptibility estimates?
A modular framework for FAIR shallow landslide susceptibility mapping based on machine learning
A modular and scalable workflow for data-driven modelling of shallow landslide susceptibility
Shaping shallow landslide susceptibility as a function of rainfall events
Landslide Susceptibility Assessment Tools v1.0.0b – Project Manager Suite: A new modular toolkit for landslide susceptibility assessment
Evaluating performance of simplified physically based models for shallow landslide susceptibility
Estimation of Shallow Landslide Susceptibility Incorporating the Impacts of Vegetation on Slope Stability
Assessment of shallow landslide susceptibility using an artificial neural network in Enshi region, China
Implementing landslide path dependency in landslide susceptibility modelling
Physical-based rainfall-triggered shallow landslide forecasting
Comparison of earthquake-induced shallow landslide susceptibility assessment based on two-category LR and KDE-MLR
The influence of systematically incomplete shallow landslide inventories on statistical susceptibility models and suggestions for improvements
How robust are landslide susceptibility estimates?
A modular framework for FAIR shallow landslide susceptibility mapping based on machine learning
A modular and scalable workflow for data-driven modelling of shallow landslide susceptibility
Shaping shallow landslide susceptibility as a function of rainfall events
Landslide Susceptibility Assessment Tools v1.0.0b – Project Manager Suite: A new modular toolkit for landslide susceptibility assessment
Evaluating performance of simplified physically based models for shallow landslide susceptibility
Estimation of Shallow Landslide Susceptibility Incorporating the Impacts of Vegetation on Slope Stability
Assessment of shallow landslide susceptibility using an artificial neural network in Enshi region, China
Implementing landslide path dependency in landslide susceptibility modelling
Physical-based rainfall-triggered shallow landslide forecasting
Comparison of earthquake-induced shallow landslide susceptibility assessment based on two-category LR and KDE-MLR
The influence of systematically incomplete shallow landslide inventories on statistical susceptibility models and suggestions for improvements