Predicting Soil Organic Carbon from Sentinel-2 Imagery and Regional Calibration Approach in Salt-Affected Agricultural Lands: Feasibility and Influence of Soil Properties
- DOI
- 10.3390/rs17162877
- Published
- 2025-08-18
- Container
- Remote Sensing
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/rs17162877,
title = {Predicting Soil Organic Carbon from Sentinel-2 Imagery and Regional Calibration Approach in Salt-Affected Agricultural Lands: Feasibility and Influence of Soil Properties},
author = {Mohammad Farzamian and Nádia Castanheira and Maria C. Gonçalves and Pedro Freitas and Mohammadmehdi Saberioon and Tiago B. Ramos and João Antunes and Ana Marta Paz},
year = {2025},
journal = {Remote Sensing},
doi = {10.3390/rs17162877},
url = {https://doi.org/10.3390/rs17162877}
}RIS
TY - JOUR TI - Predicting Soil Organic Carbon from Sentinel-2 Imagery and Regional Calibration Approach in Salt-Affected Agricultural Lands: Feasibility and Influence of Soil Properties AU - Mohammad Farzamian AU - Nádia Castanheira AU - Maria C. Gonçalves AU - Pedro Freitas AU - Mohammadmehdi Saberioon AU - Tiago B. Ramos AU - João Antunes AU - Ana Marta Paz PY - 2025 JO - Remote Sensing DO - 10.3390/rs17162877 UR - https://doi.org/10.3390/rs17162877 ER -
APA
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. https://doi.org/10.3390/rs17162877
Source records
- crossref · retrieved 2026-09-26T09:35:59.745Z