Snakes on a Satellite: Using Python and modern tools for research and analysis of next generation satellite data products

Overview

Are you tired of wrestling with satellite-based datasets? In this tutorial, you will get a crash course on using Python and other modern tools to analyze your satellite datasets which can speed up the learning curve and improve research efficiency. We’ll cover the basics of the NetCDF and HDF self-describing data formats, display data FAST using Panoply, and demo basic analysis using Python. Additionally, we share some of the best practices such as using version control and clean coding guidelines. This session will be beneficial for both experienced programmers who want overview of modern tools and also those just getting started with scientific programming. While examples will focus on GOES-R and Suomi-NPP aerosol datasets, the presented tools and techniques can be applied to other NASA and NOAA scientific datasets across any discipline. No prior experience required.

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 scientific datasets
  • Practice importing data into Python using NetCDF APIs
  • Perform basic analysis using Python
  • Gain familiarity with good coding practices, e.g. version control, clean coding, and project development
  • Introduce the helpful resources attendees need when they do get stuck

Agenda

  • This is a “bring you own laptop” event.
  • Please see the set-up instructions prior to the beginning of the course. If further assistance is needed, contact the instructor in advance as time will be limited before the seminar.
  • All sample code and resources will be available on the workshop GitHub repository
  • The instructor will remain on-site after the workshop to assist with any individual questions/projects.
7:30amMeet and greet/computing environment set-up
8:00amImporting and displaying data with Python and Jupyter Notebooks
9:30amUnderstanding and viewing to scientific data formats
10:00amPerforming common remote sensing tasks with Python
12:00amVersion control and best coding practices
12:20pmAdjourn

Pre-workshop set-up

Installation Guides:

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

Inclusivity

It is my intent to create a learning environment that is respectful of diversity: gender, sexuality, disability, age, socioeconomic status, ethnicity, race, and culture. Your suggestions are encouraged and appreciated.