Last modified 11/15/2005
Xiao, Xiangming; Hollinger, David; Aber, John; Goltz, Mike; Zhang, Qingyuan; Moore III, Berrien. 2004.
Satellite-based modeling of gross primary production evergreen needleleaf forest.
Remote Sensing of Environment 89: 519-534
The eddy covariance technique provides valuable information on net ecosystem exchange (NEE) terrestrial ecosystems, ecosystem respiration, and gross primary production (GPP) at a variety of CO2 eddy develop a new, satellite-based Vegetation Photosynthesis Model (VPM) to estimate the seasonal dynamics of evergreen needleleaf forests. The VPM model uses two improved vegetation indices (Enhanced Vegetation Water Index (LSWI)). We used multi-year (1998-2001) images from the VEGETATION sensor onboard data from a CO2 eddy flux tower site in Howland, Maine, USA. The seasonal dynamics of GPP predicted with observed GPP in 1998-2001 at the Howland Forest. These results demonstrate the potential of scaling-up GPP of forests at the CO2 flux tower sites, a key component for the study of the carbon D 2003 Elsevier Inc. All rights reserved.
VEGETATION sensor; Vegetation index; Gross ecosystem exchange of CO2; Howland forest
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