Machine Learning and Sensitivity Analysis Approach to Quantify Uncertainty in Landslide Susceptibility Mapping

1. Verfasser:

Basheer, Mohammed

Format:

Elektronisch E-Book

Sprache:

Englisch

Veröffentlicht:

Washington, D.C The World Bank 2022

Umfang:

1 Online-Ressource (33 pages)

Schlagworte:

Disaster Risk Assessment

Disaster Risk Management

Geographic Information Systems

Hazard Risk Management

Infrastructure Hazard Susceptibility

Innovation

Landslide Risk Reduction

Road Asset Management

Science and Technology Development

Technology Innovation

Urban Development

Bezugswerke:

Erscheint auch als: Druck-Ausgabe: Machine Learning and Sensitivity Analysis Approach to Quantify Uncertainty in Landslide Susceptibility Mapping

Links:

Verlag