Li, H.; Zhang, G.; Zhong, Q.; Xing, L.; Du, H.
Prediction of Urban Forest Aboveground Carbon Using Machine Learning Based on Landsat 8 and Sentinel-2: A Case Study of Shanghai, China. Remote Sens. 2023, 15, 284.
https://doi.org/10.3390/rs15010284
AMA Style
Li H, Zhang G, Zhong Q, Xing L, Du H.
Prediction of Urban Forest Aboveground Carbon Using Machine Learning Based on Landsat 8 and Sentinel-2: A Case Study of Shanghai, China. Remote Sensing. 2023; 15(1):284.
https://doi.org/10.3390/rs15010284
Chicago/Turabian Style
Li, Huimian, Guilian Zhang, Qicheng Zhong, Luqi Xing, and Huaqiang Du.
2023. "Prediction of Urban Forest Aboveground Carbon Using Machine Learning Based on Landsat 8 and Sentinel-2: A Case Study of Shanghai, China" Remote Sensing 15, no. 1: 284.
https://doi.org/10.3390/rs15010284
APA Style
Li, H., Zhang, G., Zhong, Q., Xing, L., & Du, H.
(2023). Prediction of Urban Forest Aboveground Carbon Using Machine Learning Based on Landsat 8 and Sentinel-2: A Case Study of Shanghai, China. Remote Sensing, 15(1), 284.
https://doi.org/10.3390/rs15010284