Ding, H.; Zhao, L.; Liu, S.; Chen, X.; de Leeuw, G.; Wang, F.; Zheng, F.; Zhang, Y.; Liu, J.; Li, J.;
et al. FY-4A/AGRI Aerosol Optical Depth Retrieval Capability Test and Validation Based on NNAeroG. Remote Sens. 2022, 14, 5591.
https://doi.org/10.3390/rs14215591
AMA Style
Ding H, Zhao L, Liu S, Chen X, de Leeuw G, Wang F, Zheng F, Zhang Y, Liu J, Li J,
et al. FY-4A/AGRI Aerosol Optical Depth Retrieval Capability Test and Validation Based on NNAeroG. Remote Sensing. 2022; 14(21):5591.
https://doi.org/10.3390/rs14215591
Chicago/Turabian Style
Ding, Haonan, Limin Zhao, Shanwei Liu, Xingfeng Chen, Gerrit de Leeuw, Fu Wang, Fengjie Zheng, Yuhuan Zhang, Jun Liu, Jiaguo Li,
and et al. 2022. "FY-4A/AGRI Aerosol Optical Depth Retrieval Capability Test and Validation Based on NNAeroG" Remote Sensing 14, no. 21: 5591.
https://doi.org/10.3390/rs14215591
APA Style
Ding, H., Zhao, L., Liu, S., Chen, X., de Leeuw, G., Wang, F., Zheng, F., Zhang, Y., Liu, J., Li, J., She, L., Si, Y., & Gu, X.
(2022). FY-4A/AGRI Aerosol Optical Depth Retrieval Capability Test and Validation Based on NNAeroG. Remote Sensing, 14(21), 5591.
https://doi.org/10.3390/rs14215591