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内陆与近岸水体的色度学遥感研究进展 被引量:1

Recent progress in chromaticity remote sensing of inland and nearshore water bodies
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摘要 水色是人眼受悬浮颗粒物、叶绿素和可溶性有机物等多种物质复合影响的水体颜色最直观的感知,是具有悠久历史的水环境参量。水色对于研究内陆与近岸水体的生态具有十分重要的意义。随着色度学的研究及高光谱卫星遥感技术的进步,发展出水色的色度学方法。通过系统回顾内陆与近岸水体色度学研究的发展过程,从表观光学量和固有光学量2个角度阐述了色度学方法从理论到实际应用的情况。并介绍了卫星遥感数据的色度学处理方法。色度学方法是水色定量表达的技术方法,是水色研究的重要分支,也是对水色组分研究的扩展和补充,具有广阔的应用前景。未来,为了进一步提高色度学方法在内陆与近岸水体中的应用,需要加强水体生物-光学数据集的建设。从表观光学量和固有光学量2个维度开展色度学研究。同时加强国产卫星色度学方法的研究,扩展水色产品类型。 Water color represents the most intuitive visible perception of the color of water bodies that is jointly affected by substances such as suspended particulate matter,chlorophyll,and soluble organic matter.Water color is a water environmental parameter with a long history and plays a critical role in research on the ecosystem of inland and nearshore water bodies.With the progress made in colorimetric research,as well as hyperspectral imaging and satellite remote sensing techniques,the colorimetric method of water color has developed.This study systematically reviewed the colorimetric research progress of inland and nearshore water bodies and elaborated on the theories and practical applications of the colorimetric method from the angles of apparent optical properties(AOP)and inherent optical properties(IOP).Moreover,it presented the colorimetric processing method of satellite remote sensing data.The colorimetric method is a technical method for the quantitative expression of water color.It is also an important branch of water color research and an extension and supplement to the study of water color components,with a broad application prospect.To further improve the application of the colorimetric methods in inland and nearshore water bodies,it is necessary to enhance the construction of bio-optical datasets of water bodies in the future.Moreover,colorimetric studies should be conducted in two dimensions,namely AOP and IOP,and it is necessary to intensify research on domestic satellite-based colorimetric methods and increase the types of relevant water color products.
作者 李恺霖 廖廓 党皓飞 LI Kailin;LIAO Kuo;DANG Haofei(Fujian Meteorological Institute,Fuzhou 350007,China)
出处 《自然资源遥感》 CSCD 北大核心 2023年第1期15-26,共12页 Remote Sensing for Natural Resources
基金 中国气象局创新发展专项“基于风云卫星的‘海上丝绸之路’海雾业务化监测关键技术研究”(编号:CXFZ2022P010) 华东区域气象科技协同创新基金项目“葵花-8卫星海雾(白天)业务化监测技术研究”(编号:QYHZ202110)共同资助。
关键词 色度学 FU 水色组分 卫星遥感 chromaticity FU water color component satellite remote sensing
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