ausblenden:
Schlagwörter:
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Zusammenfassung:
Monitoring vegetation gross primary production (GPP) is required for both carbon balance studies and early warning
systems aiming to detect unfavorable crop and pasture
conditions. This manuscript describes the assimilation of
MODIS observations by a simple process model, fed by
meteorological data (temperature, incident radiation and
rainfall) and linked with a canopy reflectance model, to
estimate GPP. GPP simulations are benchmarked against
eddy covariance data collected in a semi-arid environment of a sparse Savanna in the Sudan.
