TOPS-T SCHOOL Module 3: Disasters

NOTE: This entry includes the previewable elements from the repository along with the entire GIT repository in the .zip file Welcome SCHOOL Module 3: Disasters 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 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. This module is tailored to instruct undergraduate students and early-career researchers with some coding language exposure about the data science life cycle, illustrating how Open Science principles can be effectively applied to earth sciences, particularly in the context of water. The SCHOOL Modules do not intend to teach all-encompassing earth science lessons nor provide learners with total coding expertise. Instead, the SCHOOL Project aims to provide users with the skills to adapt the SCHOOL lessons to the users’ own Open Science workflow. To learn more about Open Science, explore 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) dataThis lesson uses cloud based tools to analyze coastal elevation risks on census administrative areas focusing on Puerto Rico. Lesson 1: Population in Low Elevation Coastal Zones (LECZ) in Puerto RICO Geospatial Analysis of Canadian Wildfire Impacts: A Multi-sensor ApproachThis lesson focuses on the 2023 Yellowknife wildfire evacuation, using satellite-derived data to understand conditions that led to the evacuation of 20,000 residents. Lesson 2: Analyzing Wildfire Impact Using NASA FIRMS and NOAA GOES-18 Data Geospatial Analysis of Maui Flood Risk: Integrating Elevation, Rainfall, and Exposure DataThis lesson explores flood vulnerability in Maui, Hawai‘i, using satellite rainfall estimates, drone imagery, and demographic exposure metrics to identify communities at greatest risk. Lesson 3: Maui Flood Rainfall Analysis 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 Open Science Team Member Contributors Shemontee Chowdhury, Phd Student, CUNY Baruch Raphael Sutiono, High School Student, Scarsdale High School Hieu Tran, Technical Analyst, NASA ASDC Open Science Subject Matter Experts Akshay Mestry, Adjunct Professor, National Louis University Dhruvil Prajapati, Technical Analyst, National Louis University Antonio Tovar, Professor, National Louis University Robert Chen, Director, Columbia University Maggi Glasscoe, Research Scientist, University of Alabama Huntsville Qian Huang, Assistant Professor, East Tennessee State College Dave Jones, Director, Stormcenter LLC Module Development Team Deborah Balk, Director, CUNY Baruch Josh Brinks, Research Scientist, ISCIENCES LLC Camilla Green, Technical Analyst, Columbia University Kytt MacManus, Research Scientist, Columbia University Juan Martinez, Technical Analyst, Columbia University Thomas Parris, Director, ISCIENCES LLC Linda Pistolesi, Technical Analyst, Columbia University Eulalia Santin, Financial Analyst, Columbia University Sri Vinay, Technical Analyst, NASA ASDC Greg Yetman, Research Scientist, Columbia University Tracy Wen, Financial Analyst, Columbia University