Cite
Accurate Quantification of 0–30 cm Soil Organic Carbon in Croplands over the Continental United States Using Machine Learning.
MLA
Fu, Peng, et al. “Accurate Quantification of 0–30 Cm Soil Organic Carbon in Croplands over the Continental United States Using Machine Learning.” Remote Sensing, vol. 16, no. 12, June 2024, p. 2217. EBSCOhost, https://doi.org/10.3390/rs16122217.
APA
Fu, P., Clanton, C., Demuth, K. M., Goodman, V., Griffith, L., Khim-Young, M., Maddalena, J., LaMarca, K., Wright, L. A., Schurman, D. W., & Kellner, J. R. (2024). Accurate Quantification of 0–30 cm Soil Organic Carbon in Croplands over the Continental United States Using Machine Learning. Remote Sensing, 16(12), 2217. https://doi.org/10.3390/rs16122217
Chicago
Fu, Peng, Christian Clanton, Kirk M. Demuth, Verena Goodman, Lauren Griffith, Mage Khim-Young, Julia Maddalena, et al. 2024. “Accurate Quantification of 0–30 Cm Soil Organic Carbon in Croplands over the Continental United States Using Machine Learning.” Remote Sensing 16 (12): 2217. doi:10.3390/rs16122217.