Thomas, N.; Neigh, C.S.R.; Carroll, M.L.; McCarty, J.L.; Bunting, P.
Fusion Approach for Remotely-Sensed Mapping of Agriculture (FARMA): A Scalable Open Source Method for Land Cover Monitoring Using Data Fusion. Remote Sens. 2020, 12, 3459.
https://doi.org/10.3390/rs12203459
AMA Style
Thomas N, Neigh CSR, Carroll ML, McCarty JL, Bunting P.
Fusion Approach for Remotely-Sensed Mapping of Agriculture (FARMA): A Scalable Open Source Method for Land Cover Monitoring Using Data Fusion. Remote Sensing. 2020; 12(20):3459.
https://doi.org/10.3390/rs12203459
Chicago/Turabian Style
Thomas, Nathan, Christopher S. R. Neigh, Mark L. Carroll, Jessica L. McCarty, and Pete Bunting.
2020. "Fusion Approach for Remotely-Sensed Mapping of Agriculture (FARMA): A Scalable Open Source Method for Land Cover Monitoring Using Data Fusion" Remote Sensing 12, no. 20: 3459.
https://doi.org/10.3390/rs12203459
APA Style
Thomas, N., Neigh, C. S. R., Carroll, M. L., McCarty, J. L., & Bunting, P.
(2020). Fusion Approach for Remotely-Sensed Mapping of Agriculture (FARMA): A Scalable Open Source Method for Land Cover Monitoring Using Data Fusion. Remote Sensing, 12(20), 3459.
https://doi.org/10.3390/rs12203459