Luo, P.; Ye, H.; Huang, W.; Liao, J.; Jiao, Q.; Guo, A.; Qian, B.
Enabling Deep-Neural-Network-Integrated Optical and SAR Data to Estimate the Maize Leaf Area Index and Biomass with Limited In Situ Data. Remote Sens. 2022, 14, 5624.
https://doi.org/10.3390/rs14215624
AMA Style
Luo P, Ye H, Huang W, Liao J, Jiao Q, Guo A, Qian B.
Enabling Deep-Neural-Network-Integrated Optical and SAR Data to Estimate the Maize Leaf Area Index and Biomass with Limited In Situ Data. Remote Sensing. 2022; 14(21):5624.
https://doi.org/10.3390/rs14215624
Chicago/Turabian Style
Luo, Peilei, Huichun Ye, Wenjiang Huang, Jingjuan Liao, Quanjun Jiao, Anting Guo, and Binxiang Qian.
2022. "Enabling Deep-Neural-Network-Integrated Optical and SAR Data to Estimate the Maize Leaf Area Index and Biomass with Limited In Situ Data" Remote Sensing 14, no. 21: 5624.
https://doi.org/10.3390/rs14215624
APA Style
Luo, P., Ye, H., Huang, W., Liao, J., Jiao, Q., Guo, A., & Qian, B.
(2022). Enabling Deep-Neural-Network-Integrated Optical and SAR Data to Estimate the Maize Leaf Area Index and Biomass with Limited In Situ Data. Remote Sensing, 14(21), 5624.
https://doi.org/10.3390/rs14215624