Stable gap-filling for longer eddy covariance data gaps: A globally validated machine-learning approach for carbon dioxide, water, and energy fluxes - ScienceDirect
EMSAfrica project on Twitter: "Interested in learning to understand, process, filter, screen, gap fill, and plot Eddy Covariance data? Online course 24-26 Nov, registration open to southern African students, researchers, technicians. No
Remote Sensing | Free Full-Text | Gap-Filling Eddy Covariance Latent Heat Flux: Inter-Comparison of Four Machine Learning Model Predictions and Uncertainties in Forest Ecosystem
GI - A comparison of gap-filling algorithms for eddy covariance fluxes and their drivers
Remote Sensing | Free Full-Text | Gap-Filling Eddy Covariance Latent Heat Flux: Inter-Comparison of Four Machine Learning Model Predictions and Uncertainties in Forest Ecosystem
Online Eddy covariance gap-filling and flux-partitioning tool
Gap-Filling Eddy Covariance Latent Heat Flux: Inter-Comparison of Four Machine Learning Model Predictions and Uncertainties in F
A widely-used eddy covariance gap-filling method creates systematic bias in carbon balance estimates | Scientific Reports
Gap‐filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis - Kim - 2020 - Global Change Biology - Wiley Online Library
GitHub - stanfordmlgroup/methane-gapfill-ml: Python codebase for gap-filling eddy covariance methane fluxes at FLUXNET-CH4 wetlands with machine learning.
PDF) Evaluating four gap-filling methods for eddy covariance measurements of evapotranspiration over hilly crop fields | Insaf Mekki - Academia.edu