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到目前为止，港湾初级生产力的遥感探测方法基本上集中在对叶绿素的光谱探测上，由于干扰因素的存在（海面波动，水中悬浮泥砂），使遥感探测的精度受到影响。本文提出一种基于地理信息系统方法的具有互补性参数的港湾初级生产力遥感探测模型，由于互补性参数的存在，极大地提高了模型的抗干扰能力，使探测的精度得到明显改善。在广东大亚湾的初步试验表明：水交换状态参数的引用，模型的误差从６．５％降为０．２６％，精度大大提高，从而证明该方法的可行性和有效性。
So far, the detection method of remote sensing of harbor primary productivity has basically focused on the spectral detection of chlorophyll. The accuracy of remote sensing detection is affected due to interference factors (sea surface fluctuation and suspended sediment in water). In this paper, a remote sensing model of harbor primary productivity based on geographic information system (GIS) with complementary parameters is proposed. Due to the existence of complementary parameters, the anti-jamming capability of the model is greatly improved, and the accuracy of detection is significantly improved. Preliminary tests in Daya Bay, Guangdong Province show that the error of the model is reduced from 6.5% to 0.26% and the accuracy is greatly improved, which proves the feasibility and effectiveness of the proposed method.