The Field Geomorphologist in a Time of Artificial Intelligence and Machine Learning
Author:
Affiliation:
1. School of the Environment, University of Windsor, Canada
Funder
NSERC
Publisher
Informa UK Limited
Subject
Earth-Surface Processes,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/24694452.2021.1985956
Reference141 articles.
1. Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers
2. On inducing equations for vegetation resistance
3. Old Methodological Sneakers: Fashion and Function in a Cross-Training Era
4. Are artificial neural networks black boxes?
5. Re-situating fieldwork and re-narrating disciplinary history in global mega-geomorphology
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