Gao, D.; Yao, J.; Yu, S.; Ma, Y.; Li, L.; Gao, Z.
Eddy Covariance CO2 Flux Gap Filling for Long Data Gaps: A Novel Framework Based on Machine Learning and Time Series Decomposition. Remote Sens. 2023, 15, 2695.
https://doi.org/10.3390/rs15102695
AMA Style
Gao D, Yao J, Yu S, Ma Y, Li L, Gao Z.
Eddy Covariance CO2 Flux Gap Filling for Long Data Gaps: A Novel Framework Based on Machine Learning and Time Series Decomposition. Remote Sensing. 2023; 15(10):2695.
https://doi.org/10.3390/rs15102695
Chicago/Turabian Style
Gao, Dexiang, Jingyu Yao, Shuting Yu, Yulong Ma, Lei Li, and Zhongming Gao.
2023. "Eddy Covariance CO2 Flux Gap Filling for Long Data Gaps: A Novel Framework Based on Machine Learning and Time Series Decomposition" Remote Sensing 15, no. 10: 2695.
https://doi.org/10.3390/rs15102695
APA Style
Gao, D., Yao, J., Yu, S., Ma, Y., Li, L., & Gao, Z.
(2023). Eddy Covariance CO2 Flux Gap Filling for Long Data Gaps: A Novel Framework Based on Machine Learning and Time Series Decomposition. Remote Sensing, 15(10), 2695.
https://doi.org/10.3390/rs15102695