Azubuike, B.N.; Chlingaryan, A.; Correa-Luna, M.; Clark, C.E.F.; Garcia, S.C.
Data Augmentation and Interpolation Improves Machine Learning-Based Pasture Biomass Estimation from Sentinel-2 Imagery. Remote Sens. 2025, 17, 3787.
https://doi.org/10.3390/rs17233787
AMA Style
Azubuike BN, Chlingaryan A, Correa-Luna M, Clark CEF, Garcia SC.
Data Augmentation and Interpolation Improves Machine Learning-Based Pasture Biomass Estimation from Sentinel-2 Imagery. Remote Sensing. 2025; 17(23):3787.
https://doi.org/10.3390/rs17233787
Chicago/Turabian Style
Azubuike, Blessing N., Anna Chlingaryan, Martin Correa-Luna, Cameron E. F. Clark, and Sergio C. Garcia.
2025. "Data Augmentation and Interpolation Improves Machine Learning-Based Pasture Biomass Estimation from Sentinel-2 Imagery" Remote Sensing 17, no. 23: 3787.
https://doi.org/10.3390/rs17233787
APA Style
Azubuike, B. N., Chlingaryan, A., Correa-Luna, M., Clark, C. E. F., & Garcia, S. C.
(2025). Data Augmentation and Interpolation Improves Machine Learning-Based Pasture Biomass Estimation from Sentinel-2 Imagery. Remote Sensing, 17(23), 3787.
https://doi.org/10.3390/rs17233787