Zhang, J.; Liu, T.; Feng, W.; Han, L.; Gao, R.; Wang, F.; Ma, S.; Han, D.; Zhang, Z.; Yan, S.;
et al. Integrating Multi-Temporal Sentinel-1/2 Vegetation Signatures with Machine Learning for Enhanced Soil Salinity Mapping Accuracy in Coastal Irrigation Zones: A Case Study of the Yellow River Delta. Agronomy 2025, 15, 2292.
https://doi.org/10.3390/agronomy15102292
AMA Style
Zhang J, Liu T, Feng W, Han L, Gao R, Wang F, Ma S, Han D, Zhang Z, Yan S,
et al. Integrating Multi-Temporal Sentinel-1/2 Vegetation Signatures with Machine Learning for Enhanced Soil Salinity Mapping Accuracy in Coastal Irrigation Zones: A Case Study of the Yellow River Delta. Agronomy. 2025; 15(10):2292.
https://doi.org/10.3390/agronomy15102292
Chicago/Turabian Style
Zhang, Junyong, Tao Liu, Wenjie Feng, Lijing Han, Rui Gao, Fei Wang, Shuang Ma, Dongrui Han, Zhuoran Zhang, Shuai Yan,
and et al. 2025. "Integrating Multi-Temporal Sentinel-1/2 Vegetation Signatures with Machine Learning for Enhanced Soil Salinity Mapping Accuracy in Coastal Irrigation Zones: A Case Study of the Yellow River Delta" Agronomy 15, no. 10: 2292.
https://doi.org/10.3390/agronomy15102292
APA Style
Zhang, J., Liu, T., Feng, W., Han, L., Gao, R., Wang, F., Ma, S., Han, D., Zhang, Z., Yan, S., Yang, J., Wang, J., & Wang, M.
(2025). Integrating Multi-Temporal Sentinel-1/2 Vegetation Signatures with Machine Learning for Enhanced Soil Salinity Mapping Accuracy in Coastal Irrigation Zones: A Case Study of the Yellow River Delta. Agronomy, 15(10), 2292.
https://doi.org/10.3390/agronomy15102292
