Disaster
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TOPSTSCHOOL Development Team
Open Science Contributor
Welcome to the third module of the SCHOOL curriculum! The Science Core Heuristics for Open Science Outcomes in Learning (SCHOOL) is part of the NASA's Transform to Open Science (TOPS) Training (TOPST) initiative, designed to teach the data science lifecycle using data from the NASA Earth Sciences division and to foster an inclusive culture of open science. You can learn more about the SCHOOL Project and other modules on the SCHOOL Project home page.
This third SCHOOL module, titled “Disasters” explores natural and human-made hazards, examining the complex factors that lead to their occurrence, their impacts on communities, and the role of data in managing these events. Through several disaster-focused use cases, this module covers various examples and data sources, allowing learners to gain hands-on experience with real-world disaster data.
Each use case utilizes a unique dataset, guiding users through lessons on data access, analysis, and visualization, including techniques for data cleaning, subsetting, and creating impactful visualizations to share findings.
Tip
This module is designed to provide undergraduate students and early-career researchers with an introduction to the data science “life cycle” and sample code describing how Open Science principles can be effectively applied to earth sciences, particularly in the context of air pollution and its impact on health.
Teaching earth science topics and coding skills in depth is beyond the scope of the SCHOOL Modules. Instead, the SCHOOL Project aims to provide users with the skills to adapt the skills learned in SCHOOL lessons to the users’ own Open Science workflow. To learn more about Open Science, NASA’s TOPS Open Science 101 Curriculum. To explore other themes in the SCHOOL project, visit our Modules Page.’
Module 3: Disaster datasets and use cases cover:
Leveraging IPUMS Census Data with Low Elevation Coastal Zone (LECZ) data This lesson uses cloud based tools to analyze coastal elevation risks on census administrative areas focusing on Puerto Rico.
Geospatial Analysis of Canadian Wildfire Impacts: A Multi-sensor Approach This lesson focuses on the 2023 Yellowknife wildfire evacuation, using satellite-derived data to understand conditions that led to the evacuation of 20,000 residents.
Rainfall and Flood analysis in Maui, Hawaii This lesson compares rain data from satellites and rain gauges to observe a rain event that resulted in damage. The damage assessment is completed with drone observations.
More Lessons coming soon…
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!