intervallum| Quiet Planet

Quiet Planet

The COVID-19 outbreak and the resulting social distancing recommendations and related restrictions have led to numerous short-term changes in economic and social activity around the world, all of which may have impacts on our environment. Your challenge is to use space-based data to document the local to global environmental changes caused by COVID-19 and the associated societal responses.

Global Air Pollution

Summary

Satellite view time-series data visualization of air pollutant values affected pre-COVID-19.

How We Addressed This Challenge

The goal was to see how the air pollutant values changed around the globe at various times. Did COVID-19 see any drops in air pollutants due to quarantine or did it remain the same -- or increase? Rendering the values based on their respective times could help us see this. 

How We Developed This Project

JavaScript, React, Three.js, Python, GraphQL, MongoDB, Bash, data-scraping.

We thought it might be interesting to take the air pollutant trends data produced by JAXA's GOSAT and put it on a globe view. We somewhat  found that perhaps a globe view may not be the best choice for this type of data. Looking at exploring other ways to portray data on a global platform.

Project Demo

Deployed Application: https://spaceapps.webmocha.com/
Github: https://github.com/webmocha/covid19-spaceapps/

Project Code
Data & Resources

JAXA: https://www.eorc.jaxa.jp/GOSAT/CO2_monitor/index_NIES_V0281.html

Global Judging
This project was submitted for consideration during the Space Apps Global Judging process.