On the estimation of landslide intensity, hazard and density via data-driven models

This article examines how landslide intensity can be spatially modelled as a function of how many landslides may occur per mapping unit, something which has been shown to closely correlate to the planimetric extent of landslides per mapping unit. The researchers use the relation between landslide count and planimetric extent to generate maps that predict the aggregated size of landslides per slope, and the proportion of the slope they may affect. 

Their findings suggest that the geoscientific community should expand research efforts beyond the use of susceptibility assessment, in favour of more informative analytical schemes. A chain of landslide intensity, hazard and density may lead to substantially improved decision-making processes related to landslide risk.