2026年第16次海星学术论坛
报告人：Cédric Jamet 教授、Rafael Simão 博士（法国滨海大学）
邀请人：陈鹏 研究员
时 间：7月2日 （周四） 15:00—16:30
地 点：1号楼610会议室
卫星海洋环境监测预警全国重点实验室为增进学术交流，促进实验室对外开放，组织系列“海星系列学术讲座”，邀请国内外知名专家与青年科研人员分享前沿科学动态，讨论最新学术成果，欢迎大家踊跃参加。
召集人：陈鹏 研究员
会议时间：7月2日 （周四） 15:00-16:30
线下地点：1号楼610会议室
报告一
报告人：Cédric Jamet 教授（法国滨海大学）
报告题目：Atmospheric correction of ocean color images: current status and perspectives
报告人简介：Cédric Jamet于2006年在法国北部的Littoral-Côte d'Opale大学和海洋学与地球科学实验室（LOG）任教。作为海洋水色遥感专家，Cedric的研究方向是激光雷达在海洋的应用。Cédric于2012年至2020年担任LOG的“遥感与水动力学”团队负责人，同时担任法国航天局CNES“海洋”组的成员，并在国际海洋水色协调组织和国际空间科学研究所担任两个国际工作组的主席，分别负责研究浑浊水域的海洋水色图像大气校正和激光雷达海洋应用。他曾担任两次海洋光学会议组织委员会的联合主席，自2018年以来，他与海洋二所和浙江大学保持长期深度合作。
报告摘要：Ocean color images have provided continuous synoptic view of the chlorophyll-a since 1997. From those images, other biogeochemical and bio-optical parameters can be derived providing information about the coastal water quality or the primary production. The main problem in processing ocean color images is to correct from the contribution of the sea surface and the atmosphere. In open ocean waters, the atmospheric signal is around 90% of the total signal measured by the space-borne sensor. In coastal waters, the contribution of the ocean signal in the near-infra-red makes the processing even harder.
The seminar will showcase the current state of the atmospheric correction, with highlight about the latest IOCCG report on the subject. Perspectives will be presented on absorbing aerosols, adjacency effects and hyper-spectral data.
报告二
报告人：Rafael Simão 博士（法国滨海大学）
报告题目：Assessing the Ocean Color Capabilities of an Airborne Atmospheric Lidar
报告人简介：Rafael Simão is a PhD candidate in Marine Sciences at the Laboratoire d'Océanologie et de Géosciences (LOG), Université du Littoral Côte d'Opale (ULCO), France. He holds a bachelor's degree in Oceanography from the Universidade Federal do Paraná (UFPR) and a master's degree in Oceanography from the Universidade Federal do Rio Grande (FURG), Brazil. His research focuses on ocean color remote sensing using airborne and spaceborne lidar systems. His current work investigates the potential of a French airborne atmospheric lidar for ocean color applications.
报告摘要： Lidar observations provide continuous measurements over large areas while extending our view to the vertical dimension, capabilities that even exceed what can be done with in situ sampling or with passive spaceborne observations. Here, we demonstrate the applicability of the French airborne LNG lidar for studying the upper ocean. Originally developed for studying clouds, aerosols, and winds, LNG’s three wavelengths (355, 532, and 1064 nm), polarization, and high spectral resolution capabilities make it a promising sensor for ocean color. To evaluate this potential, an air- and sea-borne campaign (CADDIWA) was conducted in Cape Verde (2021), collecting over 800,000 lidar profiles and including concurrent in situ measurements of the seawater's apparent and inherent optical properties. Using a novel processing chain applied to the LNG data, we retrieved the diffuse attenuation coefficient (Kd) and the particulate backscattering coefficient (bbp) over the vertical up to 35 meters. Compared to the in situ measurements, the mean absolute percentage error (MAPE) for the LNG bbp and Kd estimates ranged from 18–27% and 9–21%, respectively. These results show that LNG performs comparably to standard ocean color products (OC-CCI, processed using 3SAA), which exhibited MAPEs for bbp and Kd of 16–17% and 22– 27%, highlighting LNG’s potential for ocean color studies.
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