Poor transferability of machine learning classification models: classifying vegetation on palsa complexes in Arctic Sweden

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Dancer, Holly (2024) Poor transferability of machine learning classification models: classifying vegetation on palsa complexes in Arctic Sweden. MRes thesis, University of Nottingham.

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Item Type: Thesis (University of Nottingham only) (MRes)
Supervisors: Sjögersten, Sofie
Marsh, Stuart
Boyd, Doreen
Siewert, Matthias
De la Barreda-Bautista, Betsabe
Keywords: Palsas; Machine learning; Vegetation classification models; Machine learning classifiers
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Faculties/Schools: UK Campuses > Faculty of Engineering
Item ID: 79961
Depositing User: Dancer, Holly
Date Deposited: 10 Dec 2024 04:40
Last Modified: 10 Dec 2024 04:40
URI: https://eprints.nottingham.ac.uk/id/eprint/79961

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