Artificial Intelligence-Assisted Landslide Hazard Mapping incorporating the European Union's INSPIRE Mapping Standards

Climate warming is changing weather patterns and affecting the frequency and magnitude of landslides. At the same time the global population and the number of people exposed to landslide risk is increasing. Consequently, there is a need for better landslide hazard and risk understanding both by technical experts and by the non-technical segments of society at large. Recent advances in artificial intelligence (AI) can contribute to this understanding by producing landslide hazard and risk maps which can explain themselves, as has been demonstrated in a landslide hazard mapping study in British Columbia. The study makes use of standardized earth science taxonomies, ontologies and linked data, including the EU's INSPIRE standards where possible. Polygons are described by semantic networks incorporating data on bedrock lithology, surficial materials, land use classification, slope parameters (slope …