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

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 processing chain <em>Calimnos. </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 https://monocle-h2020.eu/Resources/Training The data package contains the following: <strong>input_data.zip </strong>- unprocessed (L1B / L1C) satellite scenes of MSI and OLCI instruments over the Razelm/Sinoe lagoon and Black Sea <strong>Output_S3_OLCI.zip - </strong>all outputs derived from the Sentinel-3 OLCI scene, including C2RCC and <em>Calimnos </em>(including POLYMER atmospheric correction and biogeochemical estimates as in the Lakes_cci) <strong>Output_S2_MSI_Full_Scene_C2RCC.zip</strong> - atmospherically corrected (C2RCC algorithm) full Sentinel-2 MSI scene <strong>Output_S2_MSI_Subset_C2RCC.zip </strong>- subset of Sentinel-2 MSI scene and atmospherically corrected results (C2RCC algorithm) <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 Land Service.