Fu, P.; Clanton, C.; Demuth, K.M.; Goodman, V.; Griffith, L.; Khim-Young, M.; Maddalena, J.; LaMarca, K.; Wright, L.A.; Schurman, D.W.;
et al. Accurate Quantification of 0–30 cm Soil Organic Carbon in Croplands over the Continental United States Using Machine Learning. Remote Sens. 2024, 16, 2217.
https://doi.org/10.3390/rs16122217
AMA Style
Fu P, Clanton C, Demuth KM, Goodman V, Griffith L, Khim-Young M, Maddalena J, LaMarca K, Wright LA, Schurman DW,
et al. Accurate Quantification of 0–30 cm Soil Organic Carbon in Croplands over the Continental United States Using Machine Learning. Remote Sensing. 2024; 16(12):2217.
https://doi.org/10.3390/rs16122217
Chicago/Turabian Style
Fu, Peng, Christian Clanton, Kirk M. Demuth, Verena Goodman, Lauren Griffith, Mage Khim-Young, Julia Maddalena, Kenny LaMarca, Logan A. Wright, David W. Schurman,
and 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, no. 12: 2217.
https://doi.org/10.3390/rs16122217
APA Style
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
