NASA ARSET: Access & Visualization of PACE/OCI Data using Python/Jupyter Notebook Software, Part 3/3

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Introduction to Plankton, Aerosol, Cloud, Ocean Ecosystem (PACE) Hyperspectral Observations for Water Quality Monitoring

Part 3: Access and Visualization of PACE/OCI Data using Python/Jupyter Notebook Software

ARSET Trainers: Amita Mehta
Guest Instructors: Carina Poulin and Anna Windle

Learning Objectives:
1. Access OCI Remote Sensing Reflectances and Level 2 and 3 Water Quality Parameters from EarthData using open source Python software/Jupyter Notebooks
2. Visualize OCI Remote Sensing Reflectances and Level 2 and 3 Water Quality Parameters using open source Python software/Jupyter Notebooks
3. Identify steps to customize the provided Jupyter Notebook software for other areas of interest and timeframes

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