Can thermal imagery improve ecosystem respiration modelling and UAV-based upscaling?
Summary, in English
Thermal cameras provide a new method for observing the spatial variability of surface temperature across an ecosystem at a high temporal resolution. We used thermal images, air and soil temperature data to model chamber respiration measurements collected over the growing season at a peatland in central Sweden. The measurements covered the two main vegetation communities (bryophyte-dominated hollows and graminoid-dominated hummocks) present at the site. We tested whether surface temperature data from the tower-based thermal camera predicted ecosystem respiration more accurately than air or soil temperature. We also assessed the impact of vegetation heterogeneity on the modelled fluxes by comparing model accuracy when including either one or both
vegetation communities in a single model. Finally, we upscaled our modelled predictions to the whole site using a vegetation classification and thermal data collected with an Umanned Aerial Vehicle (UAV). We could thus quantify the uncertainties in modelled fluxes when using single versus spatially-distributed temperature estimates at the ecosystem scale.
- Centre for Environmental and Climate Science (CEC)
- Dept of Physical Geography and Ecosystem Science
- BECC: Biodiversity and Ecosystem services in a Changing Climate
- MERGE: ModElling the Regional and Global Earth system
- Physical Geography
EGU General Assembly
2019-04-08 - 2019-04-12
- GREEN GAP: GREENhouse GAs flux uPscaling - improved understanding of key ecosystem processes using remote sensing and ground-based measurements
- CarboScale : Scaling carbon flux from towers to the northern landscape