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    Author(s): Xiangming Xiao; David Hollinger; John Aber; Mike Goltz; Eric A. Davidson; Qingyuan Zhang; Berrien Moore III
    Date: 2004
    Source: Remote sensing of Environment. 89: 519-534.
    Publication Series: Miscellaneous Publication
    Station: Northeastern Research Station
    PDF: Download Publication  (1.62 MB)


    The eddy covariance technique provides valuable information on net ecosystem exchange (NEE) of CO2, between the atmosphere and terrestrial ecosystems, ecosystem respiration, and gross primary production (GPP) at a variety of C02 eddy flux tower sites. In this paper, we develop a new, satellite-based Vegetation Photosynthesis Model (VPM) to estimate the seasonal dynamcs and interannual variation of GPP of evergreen needleleaf forests. The VPM model uses two improved vegetation indices (Enhanced Vegetation Index (EVI), Land Surface Water Index (LSWI)). We used multi year (1998 2001) lmages from the VEGETATION sensor onboard the SPOT-4 satellite and CO2 flux data from a C02 eddy flux tower site in Howland, Maine, USA. The seasonal dynamics of GPP predicted by the VPM model agreed well with observed GPP in 1998-2001 at the Howland Forest. These results demonstrate the potential of the satellite-driven VPM model for scaling-up GPP of forests at the C02 flux tower sites, a key component for the study of the carbon cycle at regional and global scales.

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    Xiao, Xiangming; Hollinger, David; Aber, John; Goltz, Mike; Davidson, Eric A.; Zhang, Qingyuan; Moore III, Berrien. 2004. Satellite-based modeling of gross primary production in an evergreen needleleaf forest. Remote sensing of Environment. 89: 519-534.


    VEGETATION sensor, Vegetation indcx, Gross ecosystem exchange of CO2, Howland forest

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