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|Title:||Modeling Gross Primary Production of Agro-Forestry Ecosystems by Assimilation of Satellite-Derived Information in a Process-Based Model|
|Authors:||MIGLIAVACCA Mirco; MERONI Michele; BUSETTO Lorenzo; COLOMBO Roberto; ZENONE Terenzio; MATTEUCCI Giorgio; MANCA Giovanni; SEUFERT Guenther|
|Citation:||SENSORS vol. 9 no. 2 p. 922-942|
|Publisher:||MOLECULAR DIVERSITY PRESERVATION INTERNATIONAL|
|Type:||Articles in periodicals and books|
|Abstract:||In this paper we present the results obtained in the framework of a regional-scale analysis of the carbon budget of poplar plantations in the northern Italy. We explored the ability of the processbased model BIOME-BGC to estimate the gross primary production (GPP) of these agro-forestry ecosystems exploiting eddy covariance and satellite data using an inverse modeling approach. We present a modified version of BIOME-BGC (named PROSAILH-BGC) which was coupled with the radiative transfer models PROSPECT and SAILH with the aims of i) improving the BIOME-BGC description of the radiative transfer regime within the canopy and ii) allowing the assimilation of remotely-sensed vegetation indexes time series, such as MODIS NDVI, into the BIOME-BGC. In summary, this study showed that assimilation of eddy covariance and remote sensing data in a process model can provide important information for estimating the carbon budget at regional scale.|
|JRC Institute:||Sustainable Resources|
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