Research on scale effect of vegetation net primary productivity

The scale effects in earth science, which are related to various aspects in remote sensing monitoring, have become an international prosperous research area. As spatial heterogeneity of the earth system limits the transferring between different scale, it is necessary to study these spatial heterogeneity factors, and analyze their impact on NPP scale effect. Then we can introduce an approach to perform spatial scale calibration based on a correction factor for scale effect, and perform it to NPP. This study presented an approach driven by remotely sensed data and meteorological data to estimate GPP and NPP over regional scales. By using multi-scale data and different scaling strategies, NPP of Heihe River Basin in 2012 with various scales were derived. With a focus on differences among land cover types, we introduced and tested a kind of spatial scale calibration method, to get close to the real value of the net primary productivity.