以福建省闽江流域为研究对象，利用年均降水、温度数据，结合改进NPP模型构建基于气象因子的森林生产力估测模型，并通过森林生产力与二类调查结果对应的小班年龄曲线建立森林生物量模型，以此获得遥感估测模型所需的样地生物量，在此基础上利用遥感影像和杉木平均含碳率可以成功构建森林生物量非线性遥感估测模型和碳储量遥感估测模型。本研究不仅能建立森林碳储量模型，而且避免了繁杂的森林生物量野外实测，节省了大量的人力物力，且不需砍伐森林树木。实验计算结果：闽江流域杉木林碳储量2003～2012年从10337774 t增加到19624374 t。%By taking Minjiang watershed in Fujian province as the studied object, using the annual average precipitation and temperature of the area, and adopting the improved NPP model, the forest productivity estimation model for Minjiang watershed of Fujian province was set up. Then, through combining the obtained remote sensing image and forest productivity, the nonlinear remote sensing estimation model of forest biomass and remote sensing estimation model of carbon storage in forests were established based on sub-compartment age curve which is corresponding with second class investigation. The methods can only establish the forest biomass carbon storage model but also avoide the complexity of forest biomass in ifeld measurement, without felling of forest trees, and save a lot of manpower and material resources. The experimental and computational results show that the carbon storage of Chinese ifr in Minjiang watershed increased from 10 337 774 tons to 19 624 374 tons from 2003 to 2012.
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