Permafrost thaw sensitivity prediction using surficial geology, topography, and remote-sensing imagery: a data-driven neural network approach

• Published in: Canadian Journal of Earth Sciences
• Main Authors: Oldenborger, Greg A., Short, Naomi, LeBlanc, Anne-Marie
• Format: Article in Journal/Newspaper
• Language: English
• Published: Canadian Science Publishing 2022
• Subjects: General Earth and Planetary Sciences; Arctic; Nunavut; Canada; Rankin Inlet; Ice; permafrost
• Online Access: http://dx.doi.org/10.1139/cjes-2021-0117; https://cdnsciencepub.com/doi/full-xml/10.1139/cjes-2021-0117; https://cdnsciencepub.com/doi/pdf/10.1139/cjes-2021-0117

Seasonal or degradational thaw subsidence of permafrost terrain affects the landscape, hydrology, and sustainability of permafrost as an engineering substrate. We perform permafrost thaw sensitivity prediction via supervised classification of a feature set consisting of geological, topographic, and...