Overview

In this workshop, participants will get a crash course on using Python to analyze satellite data. We will cover how to read satellite data formats like NetCDF and HDF, perform basic analysis, and create visualizations of satellite data. This session will be beneficial for both experienced programmers who want to learn Python and those just getting started with scientific programming. Examples will include datasets from the NOAA GOES-R and JPSS programs and other current sensors, but, the presented tools and techniques are transferable to other satellite datasets. No prior Python experience is required, but some coding familiarity is recommended.

Objectives

This course is designed to introduce earth scientists to modern programming tools and techniques to view and analyze data. The primary goal is for attendees to:

• Understand the basic structure of array-oriented satellite datasets
• Practice opening netCDF files and extracting the contents
• Perform basic array manipulation and analysis
• Gain familiarity with basic visualization, plotting, and mapping packages

Agenda

All times in Eastern Standard Time (EST)

8:00am	Meet and greet/computing set-up
8:15am	Basic Python and Jupyter Notebooks
9:00am	Understanding and viewing satellite data formats
9:30am	Importing scientific data files
10:00am	Processing and visualizing satellite data
11:30am	Adjourn

Pre-workshop set-up

Please download and/or install the following before the session begins:

• Complete the Pre-workshop survey
• Follow the steps in the Installation guide
• (Optional) Create a GitHub account
• (Optional) Connect to the workshop GitHub repository

Resources

• Earth Observation using Python
• Python Programming and Visualization for Scientists by Alex Joseph DeCaria.
• Style Guide for Python Code
• The Zen of Python
• Getting started with Github