Predictive Landslide Mapping

Our predictive landslide mapping assesses the distribution and probability of landslide occurrence using machine-learning techniques and our vast collection of landslide inventories and provincial-scale geological datasets. Machine-learning techniques allow us to simultaneously assess many pre-disposing geological, topographic, climate, and physiographic factors that govern landslide distribution. Our landslide susceptibility maps show the regional pattern of landslide-prone areas across the Alberta plains. However, this work does not evaluate the temporal probability of failure, the magnitude of landslides, nor their potential impacts.

 

 

Map 605 showing the landslide susceptibility model of the plains and shield regions in Alberta.

Landslide Susceptibility Close-Up with DEM 

picure-landslide
The landslide susceptibility grid from AGS Map 605 draped over a hill-shaded digital elevation model of the rugged uplands north of Edson. Darker brown colors highlight higher landslide susceptibility, usually in steeper areas.