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作 者:蒋城飞 廖珊[1] 付东洋[1] 王文芳[1] 李薛[1] 刘大召[1] 张莹[1] 黄雄杰[1] JIANG Cheng-fei;LIAO Shan;FU Dong-yang;WANG Wen-fang;LI Xue;LIU Da-zhao;ZHANG Ying;HUANG Xiong-jie(Lab of Ocean Remote Sensing & Information and Technology, Guangdong Ocean University,Zhanjiang 524088, China)
机构地区:[1]广东海洋大学海洋遥感与信息技术实验室,广东湛江524088
出 处:《广东海洋大学学报》2016年第6期107-113,共7页Journal of Guangdong Ocean University
基 金:国家海洋公益专项(201305019);广东省自然科学基金(2014A030313603);广东省科技计划项目(2013B030200002);广东省科技计划项目(2016A020222016);广东海洋大学创新强校项目(GDOU2014050226);广东省攀登计划项目(pdjh2015b0249)
摘 要:基于表观光学法研究冬季湛江港海域高光谱遥感叶绿素a浓度的反演模型构建,结果表明,该海域单波段遥感反射率与叶绿素a浓度相关性低,波段比值和遥感反射率的一阶微分法可提高叶绿素a浓度反演精度。665nm处的遥感反射率一阶微分值与叶绿素a浓度相关性良好,相关系数可达0.84。一阶微分相关系数大于0.8的波段大部分处于叶绿素a红光强烈吸收区域,对于富营养化的湛江港海域采用一阶微分方法构建叶绿素a浓度的遥感反演模型具有合理性。An inversion model for estimation of chlorophyll-a concentration in Zhanjiang Bay has beendeveloped by using the apparent optical data collected in winter. As shown by the results, there is lowcorrelation between single-band remote sensing reflectance and chlorophyll a concentration in the seaarea. Moreover, it can improve the inversion accuracy utilizing the first order differential of reflectanceand the band ratio. The first derivative value of the remote sensing reflectance at 665nm has a goodcorrelation with the chlorophyll a concentration, and its correlation coefficient can be equal to 0.84.Additionally, the bands of the first order differential correlation coefficient greater than 0.8 is mostly inred light strong absorption region of Chlorophyll a. Thus, it is reasonable to construct the remotesensing inversion model of the chlorophyll a concentration based on the first order differential in theZhanjiang bay area.
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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