A variety of software, services, and scripts were used to the present this landslide application.
Slope Units Delineation
To evaluate the susceptibility of a slope to landslides, we need to subdivide the study region into smaller areas of interest. Slope units are areas bounded by drainage and divide lines that can be automatically extracted from a digital elevation model. We then compare the physical properties of each individual slope unit (or “instance”) with expert-defined “models” to identify which slopes are most susceptible to particular types of landslides.
It’s not enough to only know whether a slope is susceptible to failure. We also need to know the landslide runout extent to see who or what else might be affected. R.avaflow is a physics-based model that simulates landslides runout. We generate runout from the highest-ranked slope units and streams to allow the user to visualize the extent of the impacted area.
Alignment of data to INSPIRE standards was carried out using Hale Studio, open source software for data transformation. Both input and output datasets were converted from shapefile or relational database format to INSPIRE data structures.
To serve fully compliant INSPIRE datasets, we used Hale Connect. INSPIRE compliant services in the web map are being hosted with the Hale Connect platform.
OpenLayers + Boundless Web SDK
Azure Kubernetes Service
The web mapping application is cloud hosted with Azure Kubernetes services for scaleable performance.