Chen, X.; Zhao, L.; Zheng, F.; Li, J.; Li, L.; Ding, H.; Zhang, K.; Liu, S.; Li, D.; de Leeuw, G.
Neural Network AEROsol Retrieval for Geostationary Satellite (NNAeroG) Based on Temporal, Spatial and Spectral Measurements. Remote Sens. 2022, 14, 980.
https://doi.org/10.3390/rs14040980
AMA Style
Chen X, Zhao L, Zheng F, Li J, Li L, Ding H, Zhang K, Liu S, Li D, de Leeuw G.
Neural Network AEROsol Retrieval for Geostationary Satellite (NNAeroG) Based on Temporal, Spatial and Spectral Measurements. Remote Sensing. 2022; 14(4):980.
https://doi.org/10.3390/rs14040980
Chicago/Turabian Style
Chen, Xingfeng, Limin Zhao, Fengjie Zheng, Jiaguo Li, Lei Li, Haonan Ding, Kainan Zhang, Shumin Liu, Donghui Li, and Gerrit de Leeuw.
2022. "Neural Network AEROsol Retrieval for Geostationary Satellite (NNAeroG) Based on Temporal, Spatial and Spectral Measurements" Remote Sensing 14, no. 4: 980.
https://doi.org/10.3390/rs14040980
APA Style
Chen, X., Zhao, L., Zheng, F., Li, J., Li, L., Ding, H., Zhang, K., Liu, S., Li, D., & de Leeuw, G.
(2022). Neural Network AEROsol Retrieval for Geostationary Satellite (NNAeroG) Based on Temporal, Spatial and Spectral Measurements. Remote Sensing, 14(4), 980.
https://doi.org/10.3390/rs14040980