The potential of Sentinel-2 to predict CO2 fluxes in the Arctic
|Theme||3. Meteorological Cooperation|
|Session Name||3.1 Opportunities and challenges of remote sensing techniques to meet current and future needs for monitoring the Arctic|
|Datetime||Sep 07, 2018 01:40 PM - 01:55 PM (UTC +3)|
|Author(s)||Anna-Maria Virkkala (University of Helsinki, Finland), Sofia Junttila (Lund University, Sweden), Hongxiao Jin (Lund University, Sweden), Lars Eklundh (Lund University, Sweden), Miska Luoto (University of Helsinki, Finland)|
The European Sentinel-2 (S2) satellite pair provides multispectral data for monitoring the changing Arctic carbon cycle. Compared to other freely available medium-resolution satellite products such as Landsat, it has a finer spatial resolution (10, 20, or 60 meters) and a higher temporal resolution (5-day revisit frequency). As S2 is a relatively new satellite, it has not been utilized much in the Arctic research, and to our knowledge, not at all in the Arctic carbon cycle studies. A general problem in the development of methods for studying carbon cycling is the lack of model calibration and validation data due to laborious field measurements. Here, we collected a large field data set of carbon dioxide (CO2) fluxes from 200 sites within an area of 3 km2 from Kilpisjärvi, northern Finland. The study area covered the most important environmental gradients of snow, topography, and vegetation productivity. Fluxes of gross primary production, ecosystem respiration, and net ecosystem exchange were measured once during the peak growing season in 2017. These fluxes were explained with S2-derived vegetation indices to see how well S2 data can be used to understand, and possibly predict CO2 fluxes of the Arctic. This presentation shows preliminary results of the analysis.
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