Intercomparison of remotely sensed methods for delineation of high mountain debris-covered glaciers using machine learning

• Main Authors: Racoviteanu, A., Miles, E., Davies, B., Bolch, T., Watson, S., Buri, P., Liu, Q., Mateo, E., Wilson, R., Robson, B., Schellenberger, T., Maslov, K., Persello, C., King, O.
• Format: Conference Object
• Language: English
• Published: 2023
• Subjects: Wrangell Range; glacier; glaciers; Alaska
• Online Access: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021016

Glaciers are important contributors to water resources in many parts of the world, as well as constituting potential hazards. Monitoring of glaciers with remote sensing data is complicated by the presence of supraglacial debris which limits the effectiveness of semi-automated glacier delineation tec...