Training course materials: Introduction to Remote Sensing of Water Quality in Lakes

<p>Dataset including ESA Sentinel-2 MSI and Sentinel-3 OLCI L1B scenes (L1B), atmospherically corrected reflectance products (C2RCC), image subsets, and intermediate water quality products from the Copernicus Land Service and ESA Lakes_cci&nbsp;processing chain&nbsp;<em>Calimnos.&nbsp;</em>Data are in support of a recorded course introducing the theoretical and practical basis for water quality observation of lakes through remote sensing. See&nbsp;https://monocle-h2020.eu/Resources/Training</p> <p>The data package&nbsp;contains the following:</p> <p><strong>input_data.zip&nbsp;</strong>- unprocessed (L1B / L1C) satellite scenes of MSI and OLCI instruments over the Razelm/Sinoe lagoon and Black Sea</p> <p><strong>Output_S3_OLCI.zip -&nbsp;</strong>all outputs derived from the Sentinel-3&nbsp;OLCI scene, including C2RCC and <em>Calimnos </em>(including POLYMER atmospheric correction and biogeochemical estimates as in the Lakes_cci)</p> <p><strong>Output_S2_MSI_Full_Scene_C2RCC.zip</strong> - atmospherically corrected (C2RCC algorithm) full Sentinel-2 MSI scene</p> <p><strong>Output_S2_MSI_Subset_C2RCC.zip </strong>- subset of Sentinel-2 MSI scene and atmospherically corrected results (C2RCC algorithm)&nbsp;</p> <p><strong>Output_S2_MSI_Calimnos_PML.zip </strong>- subset of Sentinel-2 MSI scene atmospherically corrected using POLYMER and biogeochemical estimates, using <em>Calimnos </em>as in the Copernicus&nbsp;Land Service.&nbsp;</p>