Assimilation of earth observation data over cropland and grassland sites into a 
simple GPP model

Meroni, Michele; Fasbender, Dominique; Lopez-Lozano, Raul; Migliavacca, Mirco

doi:10.3390/rs11070749

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Assimilation of earth observation data over cropland and grassland sites into a simple GPP model

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Migliavacca, Mirco
Biosphere-Atmosphere Interactions and Experimentation, Dr. M. Migliavacca, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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http://dx.doi.org/10.3390/rs11070749
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引用

Meroni, M., Fasbender, D., Lopez-Lozano, R., & Migliavacca, M. (2019). Assimilation of earth observation data over cropland and grassland sites into a simple GPP model. Remote Sensing, 11(7):. doi:10.3390/rs11070749.

引用: https://hdl.handle.net/21.11116/0000-0003-44D0-5

要旨

The application of detailed process-oriented simulation models for gross primary
production (GPP) estimation is constrained by the scarcity of the data needed for their
parametrization. In this manuscript, we present the development and test of the assimilation of
Moderate Resolution Imaging Spectroradiometer (MODIS) satellite Normalized Difference Vegetation
Index (NDVI) observations into a simple process-based model driven by basic meteorological
variables (i.e., global radiation, temperature, precipitation and reference evapotranspiration, all
from global circulation models of the European Centre for Medium-Range Weather Forecasts). The
model is run at daily time-step using meteorological forcing and provides estimates of GPP and
LAI, the latter used to simulate MODIS NDVI though the coupling with the radiative transfer model
PROSAIL5B. Modelled GPP is compared with the remote sensing-driven MODIS GPP product
(MOD17) and the quality of both estimates are assessed against GPP from European eddy
covariance flux sites over crops and grasslands. Model performances in GPP estimation (R2 = 0.67,
RMSE = 2.45 gC m−2 d−1, MBE = −0.16 gC m−2 d−1) were shown to outperform those of MOD17 for the
investigated sites (R2 = 0.53, RMSE = 3.15 gC m−2 d−1, MBE = −1.08 gC m−2 d−1).