PeatSens
Process understanding and greenhouse gas measurements
Project duration: 01.02.2024 - 31.01.2027
Project funding: Bundesministerium für Bildung und Forschung
Team members: Daniel Köhn, Dr. Anke Günther, Prof. Florian Jansen
The aim of this project is to investigate ways to simplify and improve the estimation of greenhouse gas emissions from wet organic soils. The focus here is on methane emissions, aiming to simplify the estimation of emissions by considering proxies derived from remote sensing data. Together with our project partners, we would like to answer the following research questions:
- To what extent can greenhouse gas emissions from peatland soils be derived from a combination of measured environmental parameters (e.g. weather, water content, peatland oscillation, vegetation) and indicators derived from remotely sensed data (e.g. hyperspectral data, L-band radar)?
- Can remote sensing data together with a process-based emission model reduce the uncertainty of the prediction of greenhouse gas reductions from peatland rewetting?
Project partners:
- Darmstadt University of Technology