基于环境因素的沿岸水域叶绿素遥感探测研究

海洋叶绿素的调查一直是海洋生物资源与海洋生态学的研究重点。遥感技术是海洋叶绿素调查的有力工具。利用遥感光谱信号探测海水叶绿素在大洋水体(一类水体)中十分成功,但在沿岸水体(二类水体)的精度却不高,主要是由于悬浮泥沙、黄色物质等的干扰太大。从叶绿素的生存条件入手,提出了利用海水叶绿素环境生存因子作为辅助因素的方法建立叶绿素遥感探测模型。并以珠江口海域作为研究对象展开试验,结果表明:环境因子的引用,使模型的误差从32·48%降为17·96%,精度大大提高,从而证明该方法的可行性和有效性。

The Study of Chlorophyll Detection in Coastal Waters Based on Environmental Factors

The investigation on ocean chlorophyll always is an emphasis of the study in ocean biological resource and marine ecology. And the remote sensing technology is a powerful tool in chlorophyll detection. Up to now, there has been considerable success in optical remote sensing of chlorophyll in ocase waters. In contrast, chlorophyll retrieval in coastal waters, where the optical properties of inorganic suspended matter and colored dissolved organic matter (CDOM) must also be considered, is still a matter of intense research activity. From the analysis of the living environment of chlorophyll, a new thought that the estimation of chlorophyll concentration using remote sensing based on environment factors, is proposed. The authors chose Pearl River as test area and created a new model of estimation of chlorophyll concentration based on environment factors. Finally, through analyzing the operational precision of the new model, the average relative error of the model based on environment factors is 17.96%, and the common spectral mode is 32.48%. It is proven that joining environment factors in chlorophyll retrieval algorithm can improve the precision of chlorophyll.