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作 者:孙乐成[1] 王娟[1] 王林[2] SUN Lecheng;WANG Juan;WANG Lin(North China Sea Environmental Monitoring Center,SOA,Qingdao 266033,China;National Marine Environmental Monitoring Center,Dalian 116023,China)
机构地区:[1]国家海洋局北海环境监测中心,青岛266033 [2]国家海洋环境监测中心,大连116023
出 处:《海洋开发与管理》2019年第4期34-38,共5页Ocean Development and Management
基 金:国家海洋局北海分局海洋科技项目"北海区海水表层叶绿素a浓度卫星定量遥感反演研究"(2016B05)
摘 要:为提高我国海洋水色遥感技术和海水环境监测水平,文章根据北海区海水遥感现场监测数据,基于经验算法和荧光基线高度法的回归分析,开展海水表层叶绿素a浓度的遥感定量反演,并选取北黄海近岸海域样本数据进行算法检验。研究结果表明:辽东湾等9个北海区典型海域具有相同或相似海水表层光学特性,适宜建立海水表层叶绿素a浓度遥感定量反演模型;典型海域海水表层叶绿素a浓度与遥感反射率之间的相关关系较强,模型均为简单波段比值模型;二类海水研究区域海水表层叶绿素a浓度与荧光基线高度之间的相关关系不明显;北黄海近岸海域海水表层叶绿素a浓度的最优模型遥感定量反演值的相对误差的平均值为0.669μg/L。In order to improve the ocean color remote sensing technology and the level of marine environmental monitoring in China,the quantitative retrieval of sea surface chlorophyll-a concentration was carried out based on the North China Sea on-site measured data and the regression analysis of empirical algorithm and fluorescence line height method,and validation of algorithms in North Yellow Sea coastal waters was carried out.The results showed that nine typical sea areas in North China Sea,such as Liaodong Bay,had same or similar apparent optical properties of the sea surface water,so it was suitable to establish quantitative retrieval models of chlorophyll-a concentration in the sea surface water by remote sensing;the correlation between chlorophyll-a concentration and remote sensing reflectance in the surface water of typical sea areas was strong,and the best models were all simple band ratio models.The correlation between chlorophyll-a concentration and fluorescence line height was not obvious in the case ii sea water research zone;the average relative error of the best model for quantitative inversion of surface chlorophyll-a concentration in the North Yellow Sea coastal waters was 0.669μg/L.
关 键 词:水色遥感 遥感反射率 经验算法 简单波段比值模型 海水环境
分 类 号:X87[环境科学与工程—环境工程] P76[天文地球—海洋科学]
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