Our project provides a solution to avoid public areas with high population density, it provides information to people so that they can avoid going to crowded places and that limits the disease spread by maintaining the social distancing.
Our team was inspired by the need of the population to get back to their normal lives and go outside again while feeling safe. Firstly the team had a brainstorm meeting, after analysing the proposed solutions we chose the one that was most achievable in the real world and then we started testing models with the data that was provided by NASA. We used air quality data, mobile phone network data, infrared satellite data, multispectral satellite imagery, NASA Covid-19 data pathfinders provided by NASA and its partners to provide a map in our app for users(people) to understand where and if it is safe to visit the chosen place. We used google drive collaboration tools to work together, our computers and smartphones were used for data analysis and to elaborate the project, we used the software “Figma” to preview how the app would look like and to design the user interface. Our team ran into 2 problems: the lack of availability of live mobile network tracing and privacy problemas and both were solved after some changes in the way we would collect the data.
https://worldwind.arc.nasa.gov/
https://earthdata.nasa.gov/earth-observation-data/near-real-time/download-nrt-data/mopitt-nrt (Measurements of Pollution in the Troposphere (MOPITT))
https://www.sentinel-hub.com/develop/api/
https://mopitt.physics.utoronto.ca/
https://gisgeography.com/gis-formats/
https://earthdata.nasa.gov/collaborate/open-data-services-and-software/api/