Xu, L.; Zhang, J.; Cheng, T.; Jiao, Q.; Qin, Y.; Ma, H.; Wu, H.
A Hybrid RTM-Informed Machine Learning Framework with Crop-Specific Canopy Structural Parameterization for Crop Fractional Vegetation Cover Estimation. Remote Sens. 2026, 18, 751.
https://doi.org/10.3390/rs18050751
AMA Style
Xu L, Zhang J, Cheng T, Jiao Q, Qin Y, Ma H, Wu H.
A Hybrid RTM-Informed Machine Learning Framework with Crop-Specific Canopy Structural Parameterization for Crop Fractional Vegetation Cover Estimation. Remote Sensing. 2026; 18(5):751.
https://doi.org/10.3390/rs18050751
Chicago/Turabian Style
Xu, Lili, Junya Zhang, Tao Cheng, Quanjun Jiao, Yelu Qin, Haoyan Ma, and Hao Wu.
2026. "A Hybrid RTM-Informed Machine Learning Framework with Crop-Specific Canopy Structural Parameterization for Crop Fractional Vegetation Cover Estimation" Remote Sensing 18, no. 5: 751.
https://doi.org/10.3390/rs18050751
APA Style
Xu, L., Zhang, J., Cheng, T., Jiao, Q., Qin, Y., Ma, H., & Wu, H.
(2026). A Hybrid RTM-Informed Machine Learning Framework with Crop-Specific Canopy Structural Parameterization for Crop Fractional Vegetation Cover Estimation. Remote Sensing, 18(5), 751.
https://doi.org/10.3390/rs18050751