GREEN GAP: GREENhouse GAs flux uPscaling - improved understanding of key ecosystem processes using remote sensing and ground-based measurements

My PhD is exploring new ways of modelling carbon fluxes from boreal peatlands using close-range spectral data. The project will investigate how to combine high spatial resolution UAV data with high temporal resolution spectral data from fixed sensors on the ground. These data will produce dynamic maps of vegetation at peatland sites which can be used in conjunction with the Flux Footprint Prediction model (Kljun et al, 2015) to upscale measured carbon fluxes. The project currently focuses on using UAV and ground-based thermal cameras to understand how ecosystem surface temperature could be used as a driving variable to model carbon fluxes. The knowledge generated from this project will improve our ability to partition carbon fluxes measured by eddy covariance by shedding light on the relationship between ecosystem respiration and temperature. The project is carried out in close collaboration with colleagues from Gothenburg University, SLU and Swansea University (UK). All field sites are part of the SITES (Swedish Infrastructure for Ecosystem Science) network.