Hu, Q.; Li, Y.; Liu, W.; Lu, W.; Hai, H.; He, P.; Liu, X.; Ma, K.; Zhu, D.; Wang, P.;
et al. Research on Soil Moisture Inversion Method for Canal Slope of the Middle Route Project of the South to North Water Transfer Based on GNSS-R and Deep Learning. Remote Sens. 2023, 15, 4340.
https://doi.org/10.3390/rs15174340
AMA Style
Hu Q, Li Y, Liu W, Lu W, Hai H, He P, Liu X, Ma K, Zhu D, Wang P,
et al. Research on Soil Moisture Inversion Method for Canal Slope of the Middle Route Project of the South to North Water Transfer Based on GNSS-R and Deep Learning. Remote Sensing. 2023; 15(17):4340.
https://doi.org/10.3390/rs15174340
Chicago/Turabian Style
Hu, Qingfeng, Yifan Li, Wenkai Liu, Weiqiang Lu, Hongxin Hai, Peipei He, Xianlin Liu, Kaifeng Ma, Dantong Zhu, Peng Wang,
and et al. 2023. "Research on Soil Moisture Inversion Method for Canal Slope of the Middle Route Project of the South to North Water Transfer Based on GNSS-R and Deep Learning" Remote Sensing 15, no. 17: 4340.
https://doi.org/10.3390/rs15174340
APA Style
Hu, Q., Li, Y., Liu, W., Lu, W., Hai, H., He, P., Liu, X., Ma, K., Zhu, D., Wang, P., & Kou, Y.
(2023). Research on Soil Moisture Inversion Method for Canal Slope of the Middle Route Project of the South to North Water Transfer Based on GNSS-R and Deep Learning. Remote Sensing, 15(17), 4340.
https://doi.org/10.3390/rs15174340