A Comparative Analysis of Remote Sensing Soil Moisture Datasets Fusion Methods: Novel LSTM Approach Versus Widely Used Triple Collocation Technique. Zhao, H., Montzka, C., Vereecken, H., & Franssen, H. H. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17:16659–16671, 2024.
A Comparative Analysis of Remote Sensing Soil Moisture Datasets Fusion Methods: Novel LSTM Approach Versus Widely Used Triple Collocation Technique [link]Paper  doi  bibtex   
@article{zhao_comparative_2024,
	title = {A {Comparative} {Analysis} of {Remote} {Sensing} {Soil} {Moisture} {Datasets} {Fusion} {Methods}: {Novel} {LSTM} {Approach} {Versus} {Widely} {Used} {Triple} {Collocation} {Technique}},
	volume = {17},
	copyright = {https://creativecommons.org/licenses/by-nc-nd/4.0/},
	issn = {1939-1404, 2151-1535},
	shorttitle = {A {Comparative} {Analysis} of {Remote} {Sensing} {Soil} {Moisture} {Datasets} {Fusion} {Methods}},
	url = {https://ieeexplore.ieee.org/document/10669050/},
	doi = {10.1109/JSTARS.2024.3455549},
	urldate = {2024-11-21},
	journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
	author = {Zhao, Haojin and Montzka, Carsten and Vereecken, Harry and Franssen, Harrie-Jan Hendricks},
	year = {2024},
	pages = {16659--16671},
}

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