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

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

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 You can access all training materials from this webinar series on the training webpage: https://go.nasa.gov/3McZoVt. If you have any questions, please email us at [email protected]. We will direct your message to the appropriate contact. This training was created by NASA's Applied Remote Sensing Training Program (ARSET). ARSET is a part of the NASA Applied Sciences Capacity Building Program. Learn more about ARSET: https://appliedsciences.nasa.gov/what...