Estimated chlorophyall-a concentration at 60 m spatial resolution (20181128)

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_20181128/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）浓度估算图。研究采用欧盟哥白尼计划（Copernicus Programme）哨兵-2（Sentinel-2）任务12个波段的多光谱数据，以及UNIGE-DISTAV与ENEA合作团队提供的原位（in situ）叶绿素-a实测数据，在监督式机器学习框架下完成模型训练。完整元数据地址：https://erddap.s4raise.it/erddap/info/unige-diten_chlorophyll_final_output_laspezia_20181128/index.html。本数据集属于RAISE Spoke 3项目的研究成果之一。RAISE是由意大利大学与研究部依据国家复苏与韧性计划（NRRP，使命4、组件2、投资1.5）资助的创新生态系统。