Title: Modeling Gross Primary Production of Agro-Forestry Ecosystems by Assimilation of Satellite-Derived Information in a Process-Based Model
Authors: MIGLIAVACCA MircoMERONI MicheleBUSETTO LorenzoCOLOMBO RobertoZENONE TerenzioMATTEUCCI GiorgioMANCA GiovanniSEUFERT Guenther
Citation: SENSORS vol. 9 no. 2 p. 922-942
Publisher: MOLECULAR DIVERSITY PRESERVATION INTERNATIONAL
Publication Year: 2009
JRC N°: JRC48806
ISSN: 1424-8220
URI: http://www.mdpi.org/sensors; http://www.mdpi.com/1424-8220/9/2/922/
http://publications.jrc.ec.europa.eu/repository/handle/JRC48806
DOI: 10.3390/s90200922
Type: Articles in Journals
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:Institute for Environment and Sustainability

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