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.

Kali Yuga

Summary

In Hindu mythology, there are four basic cycles in this planet called 'yugas'. We are in the last yuga called 'Kali Yuga' where evil lurks in every nook and cranny and the world is infested with diseases. This is also the yuga where humanity meets its end. With my project using R programming language and Jupyter Notebook, I intend to show with data that there is still hope for mankind.

How I Addressed This Challenge

My project addresses this challenge by focusing on three of important factors causing climate change. 

  1. Rise of aerosol density in the atmosphere
  2. Reduction in ice extent 
  3. Rise in sea temperature causing extinction of aquatic wildlife

With my project I aim to show how these factors are being affected by COVID-19.

How I Developed This Project

I actually wanted to do an independent project regarding a topic similar to the 'Quiet Planet' Challenge. I then heard about the Space Apps challenge from a very popular social media page and got interested in this topic. 

In this period of lockdown, my family members and I are watching one of the Hindu epics. I am not a very religious guy but I believe in some of the ideals and was very inspired by it. So, my approach basically is story-telling through Jupyter Notebook.

I have used Angstrom Exponent Maximum data from both land and sea in this project to show the Angstrom Exponent variation in different parts of the world in April when most of the countries were in lockdown. I found that Europe had slightly lower Angstrom Component in 2020 than in 2019. This could have been because of many reasons but the most probable one in my opinion was because European countries were one of the first countries to be in lockdown.

Similarly, I have used Ice extent data of Northern Hemisphere and also of Greenland Sea to see if the lockdown has had any significant impact in these regions. ANOVA analysis is done to show that there is a slight significant change in the Ice extent of Greenland Sea which can although be attributed to various reasons along with COVID-19 lockdown. 

Lastly, I use the SST (Sea surface temperatures) from April of 2004, 2019 and 2020 to compare the temperatures in these years.

Data & Resources

All my data comprises of NASA's Earthdata Distributed Active Archive Center

  • Level-1 and Atmosphere Archive & Distribution System DAAC
  • Ocean Biology Processing Group NASA DAAC
  • National Snow and Ice Data Center DAAC
Tags
#data_analysis,#data_visualization,#rprogramming,#jupyter_notebook
Global Judging
This project was submitted for consideration during the Space Apps Global Judging process.