Estimated chlorophyall-a concentration at 60 m spatial resolution (20230506)

The dataset consists of estimated chlorophyll-a (CHL-a) concentration maps obtained as the output of a machine learning model. Multispectral data from twelve bands of the Sentinel-2 mission of the Copernicus Programme of the European Union, together with in situ CHL-a measurements provided by colleagues at UNIGE-DISTAV and ENEA, are used to train the model within a supervised machine learning framework. Full metadata: https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20230506/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).本数据集包含由机器学习模型输出得到的叶绿素a（chlorophyll-a, CHL-a）浓度估算分布图。本模型的训练数据取自欧盟哥白尼计划（Copernicus Programme）哨兵-2号（Sentinel-2）任务12个波段的多光谱数据，以及日内瓦大学DISTAV实验室（UNIGE-DISTAV）与ENEA同仁提供的原位叶绿素a实测数据，训练过程采用监督机器学习框架。完整元数据：https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20230506/index.html本数据集属于RAISE Spoke 3项目的研究成果。RAISE是由大学与研究部依据国家恢复与韧性计划（NRRP，任务4、组件2、投资1.5）资助的创新生态系统。