The challenge is to use Earth observations to explore how human activity and regional land-based human movement patterns may have shifted in response to COVID-19.
In our project, we used earth observation data like Aerosol, N02, Ozone to understand the location-based human activity. Because of COVID-19, there is a high possibility of shifting human activity. That will also shift the risk of infection.
Though the spread of COVID-19 is going down in some areas it’s not over because there is no vaccine yet. So try to predict the possible location-based infarction to take the necessary steps to mitigate the risk and take preparation.
First we do some brainstorming to decide the challenge based on our experience and interest. Initially we chose “Food for Thought” but after a few hours we changed our challenge to “Light the Path”.
Secondly we did individual research to find the right project idea. After getting some random ideas we had a decision meeting to decide the project.
After deciding the project set the members rolls. We had a combination of software engineers and data scientists.
Data scientists start finding the right datasets and models and engineers start thinking about the visualization and webapp development process.
We applied random forest to predict the possible Covid19 case. We used python for ML and used ReactJS for WebApp.
Aerosol: https://disc.gsfc.nasa.gov/datasets/OMAEROe_003/summary Deborah Stein-Zweers, and Pepijn Veefkind (2012), OMI/Aura Multi-wavelength Aerosol Optical Depth and Single Scattering Albedo L3 1 day Best Pixel in 0.25 degree x 0.25 degree V3, NASA Goddard Space Flight Center, Goddard Earth Sciences Data and Information Services Center (GES DISC). Data Source No2 : https://disc.gsfc.nasa.gov/datasets/OMNO2d_003/summary Nickolay A. Krotkov, Lok N. Lamsal, Sergey V. Marchenko, Edward A. Celarier, Eric J.Bucsela, William H. Swartz, Joanna Joiner and the OMI core team (2019), OMI/Aura NO2 Cloud-Screened Total and Tropospheric Column L3 Global Gridded 0.25 degree x 0.25 degree V3, NASA Goddard Space Flight Center, Goddard Earth Sciences Data and Information Services Center (GES DISC), Data source: Ozone : https://disc.gsfc.nasa.gov/datasets/OMPS_NPP_NMTO3_L3_DAILY_2/summary Glen Jaross (2017), OMPS-NPP L3 NM Ozone (O3) Total Column 1.0 deg grid daily V2, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC). Data source Covid-19 confirmed case dataset: https://covidtracking.com/