结合国际照明委员会(Commission International de l’Eclairage, CIE)颜色系统,首先利用基于卫星多光谱遥感反射率的色度角信息获取方法,得到色度角信息数据集;然后,将色度角数据集与航测数据集匹配,建立基于色度角信息的总叶绿素和悬...结合国际照明委员会(Commission International de l’Eclairage, CIE)颜色系统,首先利用基于卫星多光谱遥感反射率的色度角信息获取方法,得到色度角信息数据集;然后,将色度角数据集与航测数据集匹配,建立基于色度角信息的总叶绿素和悬浮颗粒物浓度反演模型;最后利用现场采集的辽宁大连附近海域高清数码图像进行验证。结果表明:基于色度角信息反演得到的叶绿素a质量浓度、悬浮颗粒物质量浓度的反演模型精度较高,二者与色度角的相关系数R^(2)分别为0.73、0.81,且均与色度角呈负相关关系。该模型可以与无人机、数码相机等系统联动,并与卫星遥感组成立体监测系统,为海洋水质环境监测提供一种新方法。展开更多
Marine phytoplankton plays a very important role in marine ecology,environment and global climate change,and it is an indicative organism for measuring water quality.The Bohai Sea and the Yellow Sea in China have uniq...Marine phytoplankton plays a very important role in marine ecology,environment and global climate change,and it is an indicative organism for measuring water quality.The Bohai Sea and the Yellow Sea in China have unique geographical locations.Therefore,the characteristics of phytoplankton population distribution in the Bohai Sea and the Yellow Sea are of great significance to the study of marine ecology in China.In this work,the pigment data obtained from the Yellow Sea and Bohai Sea in August 2015 were analyzed by HPLC(High-Performance Liquid Chromatography).Then the pigment data were analyzed statistically by the CHEMTAX software,so that the phytoplankton community structure information was obtained.Results show that in summer 2015,from the perspective of sea area,the biomass of phytoplankton in the surface of Bohai Sea is higher than that in the Yellow Sea,while the phytoplankton biomass in the surface of North Yellow Sea is higher than that in the South.From the perspective of dominant species of phytoplankton,the surface waters of the Yellow Sea and Bohai Sea were dominated by diatoms,prymnesiophytes and chlorophytes,accounting for 55.76%,14.56%and 14.55%respectively.Among them,diatoms accounted for the absolute advantage.展开更多
浮游植物是水体生态系统中的重要初级生产者,其中硅藻贡献海洋初级生产力约40%,因此估算硅藻浓度对了解海洋生物地球化学过程和生态系统演变至关重要。本文基于2016年6月黄渤海和2018年7月黄渤海航次实测色素浓度数据集,利用CHEMTAX软...浮游植物是水体生态系统中的重要初级生产者,其中硅藻贡献海洋初级生产力约40%,因此估算硅藻浓度对了解海洋生物地球化学过程和生态系统演变至关重要。本文基于2016年6月黄渤海和2018年7月黄渤海航次实测色素浓度数据集,利用CHEMTAX软件获取硅藻浓度信息;之后,结合实测遥感反射率数据,利用奇异值分解方法,构建硅藻浓度反演模型。检验结果表明:模型的决定系数为0.80(P<0.001),平均绝对百分比误差和中值误差分别为58.62%和39.12%,模型适用度较高;经过卫星验证,该模型适用于GOCI(Geostationary Ocean Color Imager)传感器(R^(2)=0.78,P<0.001,平均绝对百分比误差和中值误差分别为44.43%和35.55%)。将模型应用于2020年6月份GOCI月平均数据,其硅藻浓度空间分布趋势与前人研究一致。本研究成果可为近海水体硅藻生物量的遥感估算研究提供技术方法支撑。展开更多
文摘结合国际照明委员会(Commission International de l’Eclairage, CIE)颜色系统,首先利用基于卫星多光谱遥感反射率的色度角信息获取方法,得到色度角信息数据集;然后,将色度角数据集与航测数据集匹配,建立基于色度角信息的总叶绿素和悬浮颗粒物浓度反演模型;最后利用现场采集的辽宁大连附近海域高清数码图像进行验证。结果表明:基于色度角信息反演得到的叶绿素a质量浓度、悬浮颗粒物质量浓度的反演模型精度较高,二者与色度角的相关系数R^(2)分别为0.73、0.81,且均与色度角呈负相关关系。该模型可以与无人机、数码相机等系统联动,并与卫星遥感组成立体监测系统,为海洋水质环境监测提供一种新方法。
基金supported by Liao Ning Revitalization Talents Program No. XLYC1807161Dalian High-level Talents Innovation Support Plan No. 2017RQ063+4 种基金Dalian Ocean University “Zhanlan scholar”ProgramThe National Natural Science Foundation of China under contract Nos. 41206013 and 41430963the Public Science and Technology Research Funds Projects of Ocean under contract No. 201205018the National Science and Technology Support Program under contract No. 2014BAB12B02Projects of Institute of Marine Industry Technology of Liaoning Universities
文摘Marine phytoplankton plays a very important role in marine ecology,environment and global climate change,and it is an indicative organism for measuring water quality.The Bohai Sea and the Yellow Sea in China have unique geographical locations.Therefore,the characteristics of phytoplankton population distribution in the Bohai Sea and the Yellow Sea are of great significance to the study of marine ecology in China.In this work,the pigment data obtained from the Yellow Sea and Bohai Sea in August 2015 were analyzed by HPLC(High-Performance Liquid Chromatography).Then the pigment data were analyzed statistically by the CHEMTAX software,so that the phytoplankton community structure information was obtained.Results show that in summer 2015,from the perspective of sea area,the biomass of phytoplankton in the surface of Bohai Sea is higher than that in the Yellow Sea,while the phytoplankton biomass in the surface of North Yellow Sea is higher than that in the South.From the perspective of dominant species of phytoplankton,the surface waters of the Yellow Sea and Bohai Sea were dominated by diatoms,prymnesiophytes and chlorophytes,accounting for 55.76%,14.56%and 14.55%respectively.Among them,diatoms accounted for the absolute advantage.
文摘浮游植物是水体生态系统中的重要初级生产者,其中硅藻贡献海洋初级生产力约40%,因此估算硅藻浓度对了解海洋生物地球化学过程和生态系统演变至关重要。本文基于2016年6月黄渤海和2018年7月黄渤海航次实测色素浓度数据集,利用CHEMTAX软件获取硅藻浓度信息;之后,结合实测遥感反射率数据,利用奇异值分解方法,构建硅藻浓度反演模型。检验结果表明:模型的决定系数为0.80(P<0.001),平均绝对百分比误差和中值误差分别为58.62%和39.12%,模型适用度较高;经过卫星验证,该模型适用于GOCI(Geostationary Ocean Color Imager)传感器(R^(2)=0.78,P<0.001,平均绝对百分比误差和中值误差分别为44.43%和35.55%)。将模型应用于2020年6月份GOCI月平均数据,其硅藻浓度空间分布趋势与前人研究一致。本研究成果可为近海水体硅藻生物量的遥感估算研究提供技术方法支撑。
