five

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

收藏
NIAID Data Ecosystem2026-03-13 收录
下载链接:
https://zenodo.org/record/6517600
下载链接
链接失效反馈
官方服务:
资源简介:
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.
创建时间:
2022-05-09
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作