Li, P.; Hao, F.; Wu, H.; Nie, H.
Spatiotemporal Dynamic Analysis of Eutrophication Status Based on Machine Learning-Based Retrieval Algorithm: Case Study in Liangzi Lake, Hubei, China. Remote Sens. 2024, 16, 4192.
https://doi.org/10.3390/rs16224192
AMA Style
Li P, Hao F, Wu H, Nie H.
Spatiotemporal Dynamic Analysis of Eutrophication Status Based on Machine Learning-Based Retrieval Algorithm: Case Study in Liangzi Lake, Hubei, China. Remote Sensing. 2024; 16(22):4192.
https://doi.org/10.3390/rs16224192
Chicago/Turabian Style
Li, Peifeng, Fanghua Hao, Hao Wu, and Hanjiang Nie.
2024. "Spatiotemporal Dynamic Analysis of Eutrophication Status Based on Machine Learning-Based Retrieval Algorithm: Case Study in Liangzi Lake, Hubei, China" Remote Sensing 16, no. 22: 4192.
https://doi.org/10.3390/rs16224192
APA Style
Li, P., Hao, F., Wu, H., & Nie, H.
(2024). Spatiotemporal Dynamic Analysis of Eutrophication Status Based on Machine Learning-Based Retrieval Algorithm: Case Study in Liangzi Lake, Hubei, China. Remote Sensing, 16(22), 4192.
https://doi.org/10.3390/rs16224192