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大连湾及邻近海域水体叶绿素浓度荧光遥感算法研究
引用本文:王林,杨建洪,赵冬至.大连湾及邻近海域水体叶绿素浓度荧光遥感算法研究[J].台湾海峡,2014(1):111-117.
作者姓名:王林  杨建洪  赵冬至
作者单位:国家海洋环境监测中心,辽宁大连116023
基金项目:基金项目:国家自然科学基金资助项目(40876091);国家海洋公益性行业科研专项经费资助项目(201305003,201005030)
摘    要:叶绿素荧光遥感算法为探测近岸海域二类水体叶绿素浓度开辟了新途径.基于大连湾及邻近海域的实测数据,本文研究了海水叶绿素浓度的荧光遥感算法.结果表明:随着海水叶绿素质量浓度的增高,荧光峰出现显著的红移现象,叶绿素质量浓度与荧光峰波长存在着正相关关系.此外,基于MODIS、MERIS及GLI传感器荧光波段建立的荧光基线高度算法较差,不适用于该研究海域.选择680、685、690、695、700、705nm作为荧光峰波长建立的荧光基线高度算法,随着选定波长的增大,该算法拟合的相关性逐渐增高,最大相关系数(R2)可达0.91;而以实测荧光峰波长建立的荧光基线高度算法最佳,乘幂函数拟合优于线性拟合,拟合方程为P(chl)=3.167×10^5 FLH^1.45(R2=0.93).本研究为新一代海洋水色卫星传感器的开发、建造提供了科学依据,并为已有高光谱传感器在叶绿素荧光遥感反演方面的应用打下了基础.

关 键 词:海洋光学  叶绿素浓度  荧光基线高度  遥感算法  大连湾

Fluorescence remote sensing algorithm of chlorophyll concentration in Dalian Bay and adjacent sea area
WANG Lin,YANG Jian-hong,ZHAO Dong-zhi.Fluorescence remote sensing algorithm of chlorophyll concentration in Dalian Bay and adjacent sea area[J].Journal of Oceanography In Taiwan Strait,2014(1):111-117.
Authors:WANG Lin  YANG Jian-hong  ZHAO Dong-zhi
Institution:(National Marine Environmental Monitoring Center,Dalian 116023 ,China)
Abstract:The chlorophyll fluorescence remote sensing method open a new avenue for detecting chlorophyll concentration in coastal case 11 water. Based on the data obtained in Dalian bay and adjacent sea area during 2008 to 2011 ,the fluorescence remote sensing retrieval algorithm of chlorophyll concentration is analyzed. The results show that the fluorescence peaks appears obvious red shift with increasing chlorophyll concentration and positive correlation was found between fluorescence peak wavelength and chlorophyll concentration. The fluorescence line height (FLH) algorithms based on MODIS, MERIS, GLI sensor fluorescence band is bad and not applicable to the study area. While 680,685,690,695,700 and 705 nm used as the fluorescent peak wavelength,the algorithms are good and the regressed coefficient of determination between chlorophyll concentration and FLtt is found increasing gradually with wavelength to the highest point 0.91. The algorithm based on in situ measured fluorescent peak wavelength is optimal and power function fitting the equation,p (chl) = 3. 167 × 10^5FLH^1.45(R2 = 0. 93 ), which is better than linear fitting relationship. This study provides scientific basis for developing a new generation of ocean color satellite sensor and it can be a foundation for applying hyperspectral sensor in chlorophyll fluorescence remote sensing inversion.
Keywords:marine optics  chlorophyll concentration  fluorescence line height  remote sensing algorithm  Dalian Bay
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