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.