A GIS Model on Remote Sensing for Primary Productivity in the BayRegion Based on Mutual-Compensated Parameters
基于互补性参数的港湾初级生产力遥感及GIS探测模型

The detection of bay's primary productivity using remote sensing is presently based on the spectrum of chlorophyll. However, this method is not precise because of the interference caused by silt suspension and the surface wave. The paper presents a method based on GIS which make our remote sensing model on primary productivity with mutual-compensated parameters satisfactory. These parameters, with mutual compensation characteristics for the chrolophyll spectrum on remote sensing, has greatly helped to improve the model. Our test in the Daya bay has shown that the precision has greatly increased from an error of 6.5% to 0.26%, thus proving this method feasible and practical.