Wang, J.; Sha, J.; Liu, R.; Ren, S.; Zhao, X.; Liu, G.
The Study of Various Regression Models Establishment to Identify Farmland Soil Moisture Content at Different Depths Using Unmanned Aerial Vehicle Multispectral Data: A Case in North China Plain. Water 2024, 16, 807.
https://doi.org/10.3390/w16060807
AMA Style
Wang J, Sha J, Liu R, Ren S, Zhao X, Liu G.
The Study of Various Regression Models Establishment to Identify Farmland Soil Moisture Content at Different Depths Using Unmanned Aerial Vehicle Multispectral Data: A Case in North China Plain. Water. 2024; 16(6):807.
https://doi.org/10.3390/w16060807
Chicago/Turabian Style
Wang, Jingui, Jinxia Sha, Ruiting Liu, Shuai Ren, Xian Zhao, and Guanghui Liu.
2024. "The Study of Various Regression Models Establishment to Identify Farmland Soil Moisture Content at Different Depths Using Unmanned Aerial Vehicle Multispectral Data: A Case in North China Plain" Water 16, no. 6: 807.
https://doi.org/10.3390/w16060807
APA Style
Wang, J., Sha, J., Liu, R., Ren, S., Zhao, X., & Liu, G.
(2024). The Study of Various Regression Models Establishment to Identify Farmland Soil Moisture Content at Different Depths Using Unmanned Aerial Vehicle Multispectral Data: A Case in North China Plain. Water, 16(6), 807.
https://doi.org/10.3390/w16060807
