Jin, H.; Köppl, C.J.; Fischer, B.M.C.; Rojas-Conejo, J.; Johnson, M.S.; Morillas, L.; Lyon, S.W.; Durán-Quesada, A.M.; Suárez-Serrano, A.; Manzoni, S.;
et al. Drone-Based Hyperspectral and Thermal Imagery for Quantifying Upland Rice Productivity and Water Use Efficiency after Biochar Application. Remote Sens. 2021, 13, 1866.
https://doi.org/10.3390/rs13101866
AMA Style
Jin H, Köppl CJ, Fischer BMC, Rojas-Conejo J, Johnson MS, Morillas L, Lyon SW, Durán-Quesada AM, Suárez-Serrano A, Manzoni S,
et al. Drone-Based Hyperspectral and Thermal Imagery for Quantifying Upland Rice Productivity and Water Use Efficiency after Biochar Application. Remote Sensing. 2021; 13(10):1866.
https://doi.org/10.3390/rs13101866
Chicago/Turabian Style
Jin, Hongxiao, Christian Josef Köppl, Benjamin M. C. Fischer, Johanna Rojas-Conejo, Mark S. Johnson, Laura Morillas, Steve W. Lyon, Ana M. Durán-Quesada, Andrea Suárez-Serrano, Stefano Manzoni,
and et al. 2021. "Drone-Based Hyperspectral and Thermal Imagery for Quantifying Upland Rice Productivity and Water Use Efficiency after Biochar Application" Remote Sensing 13, no. 10: 1866.
https://doi.org/10.3390/rs13101866
APA Style
Jin, H., Köppl, C. J., Fischer, B. M. C., Rojas-Conejo, J., Johnson, M. S., Morillas, L., Lyon, S. W., Durán-Quesada, A. M., Suárez-Serrano, A., Manzoni, S., & Garcia, M.
(2021). Drone-Based Hyperspectral and Thermal Imagery for Quantifying Upland Rice Productivity and Water Use Efficiency after Biochar Application. Remote Sensing, 13(10), 1866.
https://doi.org/10.3390/rs13101866