In order to provide a basis for large-scale monitoring of carbon balance in the karst grasslands in south-west Slovenia, the present study combined eddy covariance and meteorological data to various vegetation indices derived from Proba-V and Landsat 8 satellite platforms, to model GPP (Gross Primary Production) and NEE (Net Ecosystem Exchange) for a homogenous grassland area.
Obtained results include a selection of the best models for the estimation of GPP and NEE, and a spatial illustration of NEE and GPP for the study area. The results also showed that for the growing season (March to April), the investigated grassland was a carbon sink during the 4 years of the study (2014-2017).
Read full paper at https://www.mdpi.com/2072-4292/11/6/649/htm
How to cite:
Noumonvi, K.D.; Ferlan, M.; Eler, K.; Alberti, G.; Peressotti, A.; Cerasoli, S. Estimation of Carbon Fluxes from Eddy Covariance Data and Satellite-Derived Vegetation Indices in a Karst Grassland (Podgorski Kras, Slovenia). Remote Sens. 2019, 11, 649. Doi : 10.3390/rs11060649
Iztok Sinjur
