Rate My Professor Benjamin Robson

As principal investigator, Robson leads funded projects including SnowAI for enhancing snow property estimation with GeoAI and high-resolution satellite data (Akademia Agreement), CO-INVENT on cryo-climatology in the Himalayan region (HKDIR), and Integrating Artificial Intelligence in Earth Sciences (University of Bergen). He serves as co-principal investigator on initiatives like ROGER for rock glacier mapping (FFG Austria) and JOSTICE on climate impacts at Jostedalsbreen (NFR). Key publications include 'Automated detection of rock glaciers using deep learning and object-based image analysis' (2020), 'Spatial variability in patterns of glacier change across the Manaslu Range, Central Himalaya' (2018), 'Spatio-temporal variability in geometry and geodetic mass balance of Jostedalsbreen ice cap, Norway' (2023), 'Glacier and rock glacier changes since the 1950s in the La Laguna catchment, Chile' (2022), and 'Mass balance characteristics of the ‘vanishing’ Rolleston Glacier, New Zealand' (2025). With over 940 citations, his contributions advance understanding of cryospheric responses to climate change. Robson is course-responsible for GEOV205/GEO215: Introduction to Geographical Information Systems and GEOV316: Practical Skills in Remote Sensing, and contributes to courses on glaciology, geohazards, and quaternary geology. He supervises PhD and MSc students on GeoAI, glacier monitoring, and related topics, and organizes summer schools and workshops on UAVs, machine learning, and paleoenvironmental methods.