Multimodel ensemble estimation of Landsat-like global terrestrial latent heat flux using a generalized deep CNN-LSTM integration algorithm. Guo, X., Yao, Y., Tang, Q., Liang, S., Shao, C., Fisher, J. B., Chen, J., Jia, K., Zhang, X., Shang, K., Yang, J., Yu, R., Xie, Z., Liu, L., Ning, J., & Zhang, L. Agricultural and Forest Meteorology, 349:109962, April, 2024. ![Multimodel ensemble estimation of Landsat-like global terrestrial latent heat flux using a generalized deep CNN-LSTM integration algorithm [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @article{guo_multimodel_2024,
title = {Multimodel ensemble estimation of {Landsat}-like global terrestrial latent heat flux using a generalized deep {CNN}-{LSTM} integration algorithm},
volume = {349},
issn = {01681923},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0168192324000777},
doi = {10.1016/j.agrformet.2024.109962},
language = {en},
urldate = {2024-11-26},
journal = {Agricultural and Forest Meteorology},
author = {Guo, Xiaozheng and Yao, Yunjun and Tang, Qingxin and Liang, Shunlin and Shao, Changliang and Fisher, Joshua B. and Chen, Jiquan and Jia, Kun and Zhang, Xiaotong and Shang, Ke and Yang, Junming and Yu, Ruiyang and Xie, Zijing and Liu, Lu and Ning, Jing and Zhang, Lilin},
month = apr,
year = {2024},
pages = {109962},
}
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