Eighteen years of upland grassland carbon flux data: reference datasets, processing, and gap-filling procedure | Scientific Data
PDF) Gap-filling missing data in eddy covariance measurements using multiple imputation (MI) for annual estimations | Gabriel Katul and Dafeng Hui - Academia.edu
Cumulative gap-filled NEE, Re and GPP obtained by the eddy-covariance... | Download Scientific Diagram
Remote Sensing | Free Full-Text | Eddy Covariance CO2 Flux Gap Filling for Long Data Gaps: A Novel Framework Based on Machine Learning and Time Series Decomposition
Gap filled daily averaged methane flux is shown in the upper part,... | Download Scientific Diagram
Paradigmatic networks: a new tool for gap-filling and spatialization of eddy covariance CO2 fluxes - FLUXNET
A widely-used eddy covariance gap-filling method creates systematic bias in carbon balance estimates | Scientific Reports
Gap-filling Fast Electrical Mobility Spectrometer Measurements of Particle Number Size Distributions for Eddy Covariance Application - Aerosol and Air Quality Research
Data Processing - FLUXNET
Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands - ScienceDirect
A widely-used eddy covariance gap-filling method creates systematic bias in carbon balance estimates | Scientific Reports
GI - Evaluating four gap-filling methods for eddy covariance measurements of evapotranspiration over hilly crop fields
Remote Sensing | Free Full-Text | Eddy Covariance CO2 Flux Gap Filling for Long Data Gaps: A Novel Framework Based on Machine Learning and Time Series Decomposition
Gap-filling Fast Electrical Mobility Spectrometer Measurements of Particle Number Size Distributions for Eddy Covariance Application - Aerosol and Air Quality Research
Combining eddy-covariance and chamber measurements to determine the methane budget from a small, heterogeneous urban floodplain
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
Paradigmatic networks: a new tool for gap-filling and spatialization of eddy covariance CO2 fluxes - FLUXNET
GI - A comparison of gap-filling algorithms for eddy covariance fluxes and their drivers
In this lecture we will start distilling the eddy flux measurements and applying them to science questions
Remote Sensing | Free Full-Text | Eddy Covariance CO2 Flux Gap Filling for Long Data Gaps: A Novel Framework Based on Machine Learning and Time Series Decomposition
GitHub - stanfordmlgroup/methane-gapfill-ml: Python codebase for gap-filling eddy covariance methane fluxes at FLUXNET-CH4 wetlands with machine learning.
A widely-used eddy covariance gap-filling method creates systematic bias in carbon balance estimates | Scientific Reports
An example of gap-filling in latent heat flux data of tomato in the... | Download Scientific Diagram
Multiple gap-filling for eddy covariance datasets - ScienceDirect
Remote Sensing | Free Full-Text | Eddy Covariance CO2 Flux Gap Filling for Long Data Gaps: A Novel Framework Based on Machine Learning and Time Series Decomposition