农业与技术2026，Vol.46Issue(4)：114-119,6.DOI:10.19754/j.nyyjs.20260430020
近岸海域叶绿素a反演研究进展
Research Progress on Chlorophyll-a Retrieval in Coastal Waters
摘要
Abstract
Coastal waters are significantly affected by human activities and have complex optical environments,which leads to great uncertainty in chlorophyll-a(Chla)remote sensing retrieval.Based on the optical properties of Case-2 waters in coastal areas,this paper systematically sorts out the theoretical basis and research progress of chlorophyll-a remote sensing retrieval,focusing on reviewing the application characteristics and applicability differences of empirical models based on blue-green bands,semi-empirical/semi-analytical models,retrieval methods using red and red-edge bands,and machine learning methods in complex coastal waters.The analysis shows that the combined interference of suspended particulate matter and colored dissolved organic matter(CDOM)on spectral signals is the key factor affecting the accuracy of coastal chlorophyll-a retrieval.Different methods have their own advantages and limitations in stability,accuracy and interpretability.The main challenges faced by coastal chlorophyll-a remote sensing retrieval in optical complexity,atmospheric correction,spatial resolution and data support are further summarized,and the development directions of multi-source remote sensing fusion,regional modeling and the combination of physical constraints and machine learning are prospected.关键词
近岸海域/叶绿素a/水色遥感/二类水体/遥感反演Key words
coastal waters/Chlorophyll-a/ocean color remote sensing/Case-2 waters/remote sensing retrieval分类
农业科技引用本文复制引用
孙嘉泽,杜崇..近岸海域叶绿素a反演研究进展[J].农业与技术,2026,46(4):114-119,6.基金项目
黑龙江省自然科学基金项目"寒地黑土区不同灌溉模式和秸秆管理下稻田温室气体排放机制"(项目编号:LH2023E109) （项目编号:LH2023E109）
