基于“哨兵3号”卫星OLCI影像和C2RCC算法的南黄海叶绿素a及总悬浮物反演效果分析

利用遥感数据处理软件SNAP中基于神经网络技术的C2RCC算法,对2019年5月9日南黄海“哨兵3号”卫星OLCI影像数据进行了叶绿素a及总悬浮物浓度反演,将其与5月间江苏省海洋环境监测预报中心的海水表层叶绿素a和悬浮物实测数据进行了比较分析。结果表明,叶绿素a的遥感反演尚未能达到业务化应用,总悬浮物遥感反演结果的空间分布与实测值的一致性相对较好。但在星地同日或相差一天监测的南通海域,遥感反演叶绿素a浓度的空间分布趋势以及总悬浮物遥感反演结果与海面实测结果的一致性较好,可达到一定的业务化应用效果。

Retrieval of Chlorophyll a and Total Suspended Matter Concentrations from Sentinel 3 OLCI Imagery by C2RCC Algorithm in South Yellow Sea

The C2RCC processor,which is based on neuro network algorithm and implemented on SNAP software for remote sensing data,was used to the retrieval of chlorophyll-a(Chl-a)and total suspended matter(TSM)concentrations from Sentinel-3 OLCI imagery in south Yellow Sea,China.The results were compared with chlorophyll-a and TSM concentrations of the in situ surface water samples in May,2019 through the cruise conducted by Jiangsu Provincial Marine Environment Monitoring and Forecasting Center.The results showed retrieval of Chl-a hasn’t be able to cater for routine operational application.The spatial pattern of TSM showed better agreement with measured data.In Nantong sub-region of south Yellow Sea,when the sampling dates were 1 day difference with or of the same day as Setinel-3,the coincidence of spatial variability patterns from satellite and in situ cruise for Chl-a,and retrieved and in situ TSM,showed favorable agreements,hence remote sensing retrievals can to some extent meet operational requirements of monitoring the sub-region ecosystem of south Yellow Sea.