Publications

Wang, Sisi; Mo, Xingguo (2015). Comparison of multiple models for estimating gross primary production using remote sensing data and fluxnet observations. REMOTE SENSING AND GIS FOR HYDROLOGY AND WATER RESOURCES, 368, 75-80.

Abstract
In this study, gross primary production (GPP) estimated from a temperature and greenness (TG) model, a greenness and radiation (OR) model, a vegetation photosynthesis model (VPM), and a MODIS product have been compared with eddy covariance measurements in cropland during 2003-2005. Results showed that the determination coefficients (R-2) between fluxnet GPP and estimated GPP were all greater than 0.74, indicating that all these models offered reliable estimates of GPP. We also found that the VPM-based GPP estimates performed a bit better (R-2 is 0.82, and RMSE is 16.75 gC m(-2) (8day)(-1)) than other models, mainly due to its comprehensive consideration of the stresses from light, temperature and water. The actual GPP was overestimated in the non-growing season and underestimated in the growing season by MOD_GPP. The validation confirms that the above three models may be used to estimate crop production in the North China Plain, but there are still significant uncertainties.

DOI:

ISSN:
0144-7815