Training course materials: Introduction to Remote Sensing of Water Quality in Lakes
| Main Authors: | simis, stefan, cillero, carmen, Ogashawara, Igor |
|---|---|
| Format: | info dataset Journal |
| Bahasa: | eng |
| Terbitan: |
, 2022
|
| Online Access: |
https://zenodo.org/record/6517601 |
Daftar Isi:
- 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 Calimnos. 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: input_data.zip - unprocessed (L1B / L1C) satellite scenes of MSI and OLCI instruments over the Razelm/Sinoe lagoon and Black Sea Output_S3_OLCI.zip - all outputs derived from the Sentinel-3 OLCI scene, including C2RCC and Calimnos (including POLYMER atmospheric correction and biogeochemical estimates as in the Lakes_cci) Output_S2_MSI_Full_Scene_C2RCC.zip - atmospherically corrected (C2RCC algorithm) full Sentinel-2 MSI scene Output_S2_MSI_Subset_C2RCC.zip - subset of Sentinel-2 MSI scene and atmospherically corrected results (C2RCC algorithm) Output_S2_MSI_Calimnos_PML.zip - subset of Sentinel-2 MSI scene atmospherically corrected using POLYMER and biogeochemical estimates, using Calimnos as in the Copernicus Land Service.