Project Details

The Challenge | Surface-to-Air (Quality) Mission

Your challenge is to integrate NASA data, ground-based air quality data, and citizen science data to create an air quality surface that displays the most accurate data for a location and time. Create algorithms that select or weight the best data from several sources for a specific time and location, and display that information.

AER - Raising awareness on air quality

AER is aimed at impacting and informing children about the importance of air quality and the negative effects of air pollution in a fun, simple way, while using accurate data from credible sources.

AER

Our projects consists of two parts. The first is data integrator platform that aims to aggregate data from different sources, apply some weighting mechanism and provide the most reliable data for the search parameters. The second part consists of a platform aimed at children, for raising awareness about air quality and air pollution in a fun and educative.

Air quality integrator

The source code for the application is on GitHub: air-quality-integrator.

It's a web application that aggregates data sets from different sources to provide the best available data for the location requested. Currently the system simply calculates the median value for the measurement, but the idea is to use more advanced algorithms to better decide what source of information should be used.

For the data we used Sample Data for the Surface-to-Air Quality Mission, Open AQ Platform, NEO Nasa Earth Observations and others.

AER Raising Awareness Platform

With the data provided by the Air Quality Integrator described above, we developed a platform to raise awareness about air quality and air pollution to children.

This platform goal is to represent the complex data about air quality in a simple and easy way.

We created an alien avatar, Marialien, to guide the children during this learning process.