Farzamian, M.; Castanheira, N.; Gonçalves, M.C.; Freitas, P.; Saberioon, M.; Ramos, T.B.; Antunes, J.; Paz, A.M.
Predicting Soil Organic Carbon from Sentinel-2 Imagery and Regional Calibration Approach in Salt-Affected Agricultural Lands: Feasibility and Influence of Soil Properties. Remote Sens. 2025, 17, 2877.
https://doi.org/10.3390/rs17162877
AMA Style
Farzamian M, Castanheira N, Gonçalves MC, Freitas P, Saberioon M, Ramos TB, Antunes J, Paz AM.
Predicting Soil Organic Carbon from Sentinel-2 Imagery and Regional Calibration Approach in Salt-Affected Agricultural Lands: Feasibility and Influence of Soil Properties. Remote Sensing. 2025; 17(16):2877.
https://doi.org/10.3390/rs17162877
Chicago/Turabian Style
Farzamian, Mohammad, Nádia Castanheira, Maria C. Gonçalves, Pedro Freitas, Mohammadmehdi Saberioon, Tiago B. Ramos, João Antunes, and Ana Marta Paz.
2025. "Predicting Soil Organic Carbon from Sentinel-2 Imagery and Regional Calibration Approach in Salt-Affected Agricultural Lands: Feasibility and Influence of Soil Properties" Remote Sensing 17, no. 16: 2877.
https://doi.org/10.3390/rs17162877
APA Style
Farzamian, M., Castanheira, N., Gonçalves, M. C., Freitas, P., Saberioon, M., Ramos, T. B., Antunes, J., & Paz, A. M.
(2025). Predicting Soil Organic Carbon from Sentinel-2 Imagery and Regional Calibration Approach in Salt-Affected Agricultural Lands: Feasibility and Influence of Soil Properties. Remote Sensing, 17(16), 2877.
https://doi.org/10.3390/rs17162877
