From theory to practice: optimisation of available information for landslide hazard assessment in Rome relying on official, fragmented data sources

Abstract The definition of landslide hazard is a step-like procedure that encompasses the quantification its spatial and temporal attributes, i.e., reliable susceptibility detailed analysis recurrence. However, available information often incomplete, fragmented unsuitable for quantitative analysis. Nevertheless, evaluation has key role in implementation risk mitigation policies an effort should be done to retrieve make it useful this purpose. In research, we go through topic optimising catalogues, starting from inventory review constitution boosted training dataset, propaedeutic based on machine learning methods. recurrence events been approached here either definitions large-scale descriptors or by historical rainfall (i.e., main triggering factor considered shallow earth slope failures) databases probability curves. Spatial attributes were integrated, selecting potential source areas ranked terms hazard. Data integration was also pursued persistent scatterer interferometry which pointed out interest within featured ongoing ground movement. consequential approach led first product city Rome at local scale functional advisory purposes statutory level, representing thematic layer able orient managers infrastructure stakeholders.