Using GIScience to Improve Prediction and Monitoring of Earth surface processes and landforms
As a researcher in GIScience, I’m constantly learning and developing new approaches and analytic tools to meet the needs of challenging spatial problems. I’m driven to provide innovative and quality geospatial products that directly support management strategies. My current research focuses on enhancing monitoring and prediction of geohazards: landslides and extreme gully erosion.
I have global research experience with projects in the central Andes of Chile, French and Austrian Alps, the Vancouver Island Ranges in Canada, New Zealand’s East Coast region, and the Tian Shan range in China.
My areas of expertise include:
Statistical and machine learning for spatial prediction
Process-based runout simulation
3D mapping using drones (structure-from-motion)
Change detection for Earth surface processes monitoring
I’m a big supporter of open science and have developed open-source R packages related to my research:
runoptGPP - for optimizing and validating regional mass movement runout models
map.displ.r - for processing and visualizing surface displacements
Key research areas
Close-range remote sensing of snow depth with micro UAVs
Exploring techniques for improving spatial prediction of Earth surface processes
Developing custom GIS tools for quantifying landform features
GEO 311: Geographic Information Science Project GEO 408: Environmental Statistics and GeoComputation