Community
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TOPSTSCHOOL Development Team
Open Science Contributor
Welcome to the Community-Generated segment of the SCHOOL Disaster module!
This section is part of the broader SCHOOL (Science Core Heuristics for Open Science Outcomes in Learning) curriculum within NASA’s Transform to Open Science (TOPS) initiative. These lessons showcase the creativity and applied skills of learners and contributors who have developed use cases around disaster data as part of their journey through open science and the data science life cycle.
The focus here is on diverse, independently developed lessons that tackle different types of natural hazards. From wildfires to snowstorms and climate change effects, each project reflects personal engagement with real-world datasets using Python and open data tools. These lessons offer practical insights into accessing, analyzing, and visualizing complex datasets—skills essential for any aspiring open science researcher.
Each lesson below walks you through specific data science workflows with openly available NASA datasets, providing a hands-on learning experience for those ready to explore disasters through the lens of open science.
Community-Contributed Lessons:
Lesson 501: Exploring EJScreen: Environmental Justice Screening and Mapping Tool
Lesson 503: Agriculture with Weird Weather in Washington State
Lesson 504: Mapping Wildfire Burned Areas Using VIIRS AVIRIS-3 Data (Python)
Lesson 505: The Major Effects of Climate Change Towards the Arctic Ecosystem (Python)
We thank the SCHOOL community and contributors for helping expand the reach and relevance of this module. Your insights shape how disasters are studied and understood through open science.
This course was made possible thanks to the work of our NASA Transform to Open Science (TOPS) team, our SCHOOL Open Science team, open science Subject Matter Experts (SMEs), and the SCHOOL Development team!