抄録
Gross primary productivity (GPP) is total amount of carbon absorption by canopy. This indicator can help us to understand the carbon cycle process. This study proposed the method to estimate GPP by integrating remotely sensed data to the ecological modelling, focused on 3-PG model. First, the parameter in 3-PG model is done the parameterization for deciduous broadleaf forest based on in situ measurement from flux tower. Then, MODIS 10 days composite data is calculated in terms of vegetation index to compare with LAI data. Regarding on LAI-VI relationship, 3-PG model is extended to Spatial 3-PG model, then GPP is estimated. The result shows that estimated GPP has good agreement to observed GPP as well. [This abstract is not included in the PDF]
