| 黄海典型漂浮大型藻类光谱特征分析 |
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| 引用本文： | 安德玉,邢前国,魏振宁,李琳.黄海典型漂浮大型藻类光谱特征分析[J].海洋与湖沼,2018,49(5):1054-1060. |
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| 作者姓名： | 安德玉 邢前国 魏振宁 李琳 |
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| 作者单位： | 中国科学院烟台海岸带研究所海岸带环境过程与生态修复重点实验室;中国科学院大学 |
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| 基金项目： | 国家自然科学基金项目，41676171号；青岛国家海洋科学与技术国家实验室鳌山科技创新计划项目，2016ASKJ02号；中国科学院战略性先导科技专项项目，XDA11020305号。 |
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| 摘 要： | 利用实测高光谱和多光谱相机数据对在黄海海域采集的浒苔和马尾藻样本进行光谱特征分析。结果显示:漂浮大型藻类的高光谱反射率均值(Rmean_H)与多光谱反射率均值(Rmean_M)、高光谱藻类指数(VB-FAHH)与多光谱藻类指数(VB-FAHM)之间的相对误差小于15.6%,说明这两种数据具有较好的一致性;基于光谱特征波长的反射率建立比值光谱指数,其中浒苔和马尾藻的差异最为明显的是R640/R554指数;基于多光谱相机计算反射谷深度指数(T-depth),采用阈值法来区分浒苔和马尾藻,T-depth阈值的区分精度分别为69.6%±30.0%和69.6%±24.3%,稍优于虚拟基线漂浮藻类指数(VB-FAH)阈值的区分精度。
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| 关 键 词： | 浒苔 马尾藻 光谱特征 高光谱 多光谱 |
| 收稿时间： | 2017/12/29 0:00:00 |
| 修稿时间： | 2018/7/4 0:00:00 |
SPECTRAL FEATURES AND ANALYSIS OF TYPICAL FLOATING MACROALGAE IN THE YELLOW SEA |
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| AN De-Yu,XING Qian-Guo,WEI Zhen-Ning and LI Lin.SPECTRAL FEATURES AND ANALYSIS OF TYPICAL FLOATING MACROALGAE IN THE YELLOW SEA[J].Oceanologia Et Limnologia Sinica,2018,49(5):1054-1060. |
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| Authors: | AN De-Yu XING Qian-Guo WEI Zhen-Ning and LI Lin |
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| Institution: | Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China;University of Chinese Academy of Sciences, Beijing 100049, China,Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China;University of Chinese Academy of Sciences, Beijing 100049, China,Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China;University of Chinese Academy of Sciences, Beijing 100049, China and Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China |
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| Abstract: | The spectral features of the floating macroalgae in the Yellow Sea were analyzed using the data measured with hyperspectral-spectroradiometer and multispectral-camera. The results show that the hyperspectral reflectance of Ulva prolifera and Sargassum horneri are consistent with those measured by the multispectral camera. The ratio spectrum indexes of those two macroalgae, especially R640/R554, are obviously different. The classification accuracy of Ulva prolifera and Sargassum horneri using the trough depth (T-depth) threshold method is 69.6%±30.0% and 69.6%±24.3%, respectively, which is slightly better than the accuracy of Virtual-Baseline Floating macroAlgae Height (VB-FAH). This work shows the potential of identifying floating green macroalgae and brown macroalgae using optical indexes. |
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| Keywords: | Ulva prolifera Sargassum horneri spectral features hyperspectrum multispectrum |
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