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1 Ergebnisse
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Using High‐Resolution Satellite Imagery and Deep Learning t..:
Mullen, Andrew L
;
Watts, Jennifer D
;
Rogers, Brendan M
...
Mullen, A. L., Watts, J. D., Rogers, B. M., Carroll, M. L., Elder, C. D., Noomah, J., et al. (2023). Using high-resolution satellite imagery and deep learning to track dynamic seasonality in small water bodies. Geophysical Research Letters, 50, e2022GL102327. https://doi.org/10.1029/2022GL102327. , 2023
Link:
https://scholarworks.montana.edu/xmlui/handle/1/17981
RT Journal T1
Using High‐Resolution Satellite Imagery and Deep Learning to Track Dynamic Seasonality in Small Water Bodies
UL https://suche.suub.uni-bremen.de/peid=base-ftmontanastateu:oai:scholarworks.montana.edu:1_17981&Exemplar=1&LAN=DE A1 Mullen, Andrew L A1 Watts, Jennifer D A1 Rogers, Brendan M A1 Carroll, Mark L A1 Elder, Clayton D A1 Noomah, Jonas A1 Williams, Zachary A1 Caraballo‐Vega, Jordan A A1 Bredder, Allison A1 Rickenbaugh, Eliza A1 Levenson, Eric A1 Cooley, Sarah W A1 Hung, Jacqueline K. Y A1 Fiske, Greg A1 Potter, Stefano A1 Yang, Yili A1 Miller, Charles E A1 Natali, Susan M A1 Douglas, Thomas A A1 Kyzivat, Ethan D PB American Geophysical Union YR 2023 K1 high-resolution K1 satellite imagery K1 small water bodies JF Mullen, A. L., Watts, J. D., Rogers, B. M., Carroll, M. L., Elder, C. D., Noomah, J., et al. (2023). Using high-resolution satellite imagery and deep learning to track dynamic seasonality in small water bodies. Geophysical Research Letters, 50, e2022GL102327. https://doi.org/10.1029/2022GL102327 LK http://dx.doi.org/https://scholarworks.montana.edu/xmlui/handle/1/17981 DO https://scholarworks.montana.edu/xmlui/handle/1/17981 SF ELIB - SuUB Bremen
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