Investigating the potential of GIMMS and MODIS NDVI data sets for estimating gross primary productivity in Harvard Forest

@article{Yu2013InvestigatingTP,
  title={Investigating the potential of GIMMS and MODIS NDVI data sets for estimating gross primary productivity in Harvard Forest},
  author={Xiaolei Yu and Zhaocong Wu and Xulin Guo},
  journal={MultiTemp 2013: 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images},
  year={2013},
  pages={1-4}
}
Accurate estimation of CO2 fluxes is significant for studying the interaction between the terrestrial biosphere and the atmosphere, which is also highly relevant to the climate-policy making. Gross primary productivity (GPP), defined as the overall rate of fixation of carbon through the process of vegetation photosynthesis, is the total influx of carbon… CONTINUE READING