Our project was mostly focused on finding a way to get a better understanding of population density data using satellite imagery. Calculating truly how densely populated a country is could provide invaluable information on which countries could be considered hotspots for the SARS-CoV-2 and/or other viruses.
We decided to tackle this challenge as we thought that a good result in it would have a great impact on how we understand this and other viruses. We worked step by step, first proving something that was already known (that there is in fact a correlation between population density and COVID-19) and afterwards trying to improve on that result using satellite imagery. The little code we had to write was written in jupyter notebooks using python. Our biggest problem in the beginning was finding a way to isolate a single country from Worldview and getting only the data we needed. After that we also faced a big roadblock in finding good threshold values to analyze our images with and that is unfortunately where our research came to an end.