Ganerød, A.J.; Lindsay, E.; Fredin, O.; Myrvoll, T.-A.; Nordal, S.; Rød, J.K.
Globally vs. Locally Trained Machine Learning Models for Landslide Detection: A Case Study of a Glacial Landscape. Remote Sens. 2023, 15, 895.
https://doi.org/10.3390/rs15040895
AMA Style
Ganerød AJ, Lindsay E, Fredin O, Myrvoll T-A, Nordal S, Rød JK.
Globally vs. Locally Trained Machine Learning Models for Landslide Detection: A Case Study of a Glacial Landscape. Remote Sensing. 2023; 15(4):895.
https://doi.org/10.3390/rs15040895
Chicago/Turabian Style
Ganerød, Alexandra Jarna, Erin Lindsay, Ola Fredin, Tor-Andre Myrvoll, Steinar Nordal, and Jan Ketil Rød.
2023. "Globally vs. Locally Trained Machine Learning Models for Landslide Detection: A Case Study of a Glacial Landscape" Remote Sensing 15, no. 4: 895.
https://doi.org/10.3390/rs15040895
APA Style
Ganerød, A. J., Lindsay, E., Fredin, O., Myrvoll, T.-A., Nordal, S., & Rød, J. K.
(2023). Globally vs. Locally Trained Machine Learning Models for Landslide Detection: A Case Study of a Glacial Landscape. Remote Sensing, 15(4), 895.
https://doi.org/10.3390/rs15040895