How to improve eddy covariance data quality, model validation and user experience through the integration of soil gas flux measurements using Eosense’s eosFD chamber

Reliable measurements of carbon cycling are challenging. Eddy covariance is the technique used by a global network of researchers that measures the net fluxes of gas to and from an ecosystem. However, there are issues with gaps in data under certain environmental conditions. Eosense’s eosFD forced diffusion chamber technology allows for long-term, remote and off-grid deployments to measure soil respiration with low power consumption. The eosFD in its current form provides the data necessary for eddy covariance users to apply it to their data analysis and quality control needs, but there could be modifications and peripherals that can be added to the eosFD that would enhance the eddy covariance user experience. he goal of this project is to identify those challenges and barriers of eddy covariance users in adopting the eosFD chamber, and to test the technology in a field setting with an established researcher in the eddy covariance community. Following this, recommendations can be made for the design of field-ready kits and results will be published in a format for researchers to assess the suitability and advantages of integrating this soil gas flux into the suite of measurements at eddy covariance sites.

Faculty Supervisor:

Lisa Kellman


Carrie-Ellen Gabriel




Geography / Geology / Earth science


Environmental industry


St. Francis Xavier University



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