Elias Vänskä

Developing computational methods for monitoring and quantifying greenhouse gas (GHG) emissions.

I work in ” Tomography in the field” project that focuses on developing improved methods for assessing GHG balances in agriculture. Acquiring accurate information on the GHG balances in agriculture is essential in determining suitable land use and farming choices. Our method utilizes open-path laser dispersion spectroscopy measurement technology and Bayesian state-space framework to reconstruct emission rates as temporally evolving tomography images. With this approach, spatial variations of the land and the uncertainties related to the monitored area are incorporated in the estimation.