Publications in Scientific Journals:

W. Verstraeten, F. Veroustraete, W. Wagner, T. Van Roey, W. Heyns, S. Verbeiren, J. Feyen:
"Remotely sensed soil moisture integration in an ecosystem carbon flux model. The spatial implication";
Climatic Change, 103 (2010), 1-2; 117 - 136.

English abstract:
While remote sensing is able to provide spatially explicit datasets at
regional to global scales, extensive application to date has been found only in the
reporting and verification of ecosystem carbon fluxes under the Kyoto Protocol. One
of the problems is that new remote sensing datasets can be used only with models
or data assimilation schemes adapted to include a data input interface dedicated
to the type and format of these remote sensing datasets. In this study, soil water
index data (SWI), derived from the ERS scatterometer (10-daily time period with
a spatial resolution of 50 km), are integrated into the ecosystem carbon balance
model C-Fix to assess 10-daily Net Ecosystem Productivity (NEP) patterns of Europe
from the remote sensing perspective on an approximate 1-by-1 km2 pixel scale using
NDVI-AVHRR data. The modeling performance of NEP obtained with and without
the assimilation of remotely sensed soil moisture data in the carbon flux model C-Fix is evaluated with EUROFLUX data. Results show a general decrease of the
RRMSE of up to 11 with an average of 3.46. C-Fix is applied at the European
scale to demonstrate the potential of this ecosystem carbon flux model, based on
remote sensing inputs. More specifically, the strong impact of soil moisture on the
European carbon balance in the context of the Kyoto Protocol (anthropogenic
carbon emissions) is indicated at the country level. Results suggest that several
European countries shift from being a carbon sink (i.e., NEP > 1) to being a
carbon source (i.e., NEP < 0) whether or not short-term water availability (i.e., soil
moisture) is considered in C-Fix NEP estimations.

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Created from the Publication Database of the Vienna University of Technology.