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Monitoring the global gross primary production (GPP) is relevant to understanding the global carbon cycle and
evaluating the effects of interannual climate variation on food and fiber production. GPP, the flux of carbon into
ecosystems via photosynthetic assimilation, is an important variable in the global carbon cycle and a key process in land
surface-atmosphere interactions. The Moderate-resolution Imaging Spectroradiometer (MODIS) is one of the primary
global monitoring sensors. MODIS GPP has some of the problems that have been proven in several studies. Therefore
this study was to solve the regional mismatch that occurs when using the MODIS GPP global product over Korea. To
solve this problem, we estimated each of the GPP component variables separately to improve the GPP estimates. We
compared our GPP estimates with validation GPP data to assess their accuracy. For all sites, the correlation was close
with high significance (R2 = 0.8164, RMSE = 0.6126 g·C·m-2·d-1, bias = -0.0271 g·C·m-2·d-1). We also compared our
results to those of other models. The component variables tended to be either over- or under-estimated when compared to
those in other studies over the Korean peninsula, although the estimated GPP was better. The results of this study will
likely improve carbon cycle modeling by capturing finer patterns with an integrated method of remote sensing.
Keywords: VEGETATION, Gross Primary Production, MODIS.
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