The EO Dashboard is derived from a suite of different satellites from the EO observation (EO) programs of the three collaborating space agencies: NASA, ESA, and JAXA. Your challenge is to devise a way to visually fuse information from diverse Earth observation datasets of different missions.
Our project aims to demonstrate the influence of forest fires on air quality in the region of Mato Grosso, Brazil. We developed a website with information about these factors and how they affect the air quality and consequently the human being, through an interactive graphic that shows this relationship with data provided by NASA. We used data from NASA's Orbiting Carbon Observatory and NASA's FIRMS on forest fires, concentration of gases such as CO2, and health problems caused by these factors, such as cardiovascular problems, lung infections, and eye irritation.
AirFlow is a website composed of interactive graphics, in which it is possible to relate different factors (fires and gas concentration) and the quality of the air. The website has 3 graphics that show the CO2 concentration, the fires and a comparative analysis between them. Observing all the information in the same place and analyzing the factors together, it is possible to find a relationship between them. We verified that after a month of a lot of wildfires in the state of Mato Grosso, the CO2 levels would increase too, affecting the air quality.
For the better understanding of the reader, there is a page with information about the subjects treated on the site such as where the gas that is being represented in the interactive graphics come from, how to reduce health problems, explanations of the various types of burning and what causes all this pollution in the atmosphere, in relation to the health of the people who live around the place affected by these fires. With this content, we can make an assumption about how to reduce health problems and their complications.
First, it was developed to prove the relationship between diseases and gas concentration with fires and the loss of air quality in a region (Mato Grosso, Brazil). In the future, people will be able to visualize the rate of forest fires in their regions, thus having the knowledge of how these fires cause many of the respiratory problems they face daily, so that they can know how to prevent the fires from spreading, thus knowing how to differentiate natural forest fires from illegal ones.
We didn't want to focus on a single factor, our initial idea was to set up a website with interactive graphics that would allow the user to move through the entire territory, obtaining information about the concentration of gas CO2 in the selected region, data on recent forest fires in the area, and cases of hospital admissions due to complications of low air quality. With all this information, users would have more knowledge about what is happening in the region without relying on newspapers or fake news. Also, people with this knowledge would know how to prevent respiratory diseases in times when the air quality is low.
With the ideas in hand, we reduce the territory where we want to compile this data, we chose the state of Mato Grosso, BR, which in turn is one of the states where there are more occurrences of burning, both illegal and natural, so we can make the most accurate analysis, according to our initial ideas. The website was designed and programmed using Thrive Architect, a website page creation platform, in which we created 2 pages, one for introduction and one for graphics, analises and general information, which explain the data used on the graphics.
Our biggest difficulties were finding the most accurate data from air quality to its influences on people's lives. If it was low, what would be the influences that caused these CO2 to increase, validating our hypothesis that fires do influence air quality.
With AirFlow, we want to prove this relationship between data on the amount of gases in the atmosphere near the Mato Grosso-BR region, fires that occurred in the same period of the increase in toxic gases. All this information was obtained through real-time air quality charts, dashboards and interactive maps surveys and analysis.
AirFlow uses an interactive graphic to demonstrate the relation between fires in Mato Grosso, Brazil, and local air quality. To build the comparison graph with monthly CO2 concentration, we analyzed the Version 9r of the ACOS_L2_Lite_FP data set from NASA's Orbiting Carbon Observatory (OCO) and how many parts per million of CO2 were visible per month by the JAXA GOSAT satellite. Using satellite images from NASA's FIRMS and WorldView, it was possible to compare the places with more fires in the year 2019, with data on the concentration of gases that alter the quality of the air.
The EOD platform provides unique information about each data, without creating a connection between them. AirFlow is a website with graphs that analyze different types of data and the influence of one on another. With a graph comparing CO2 concentration and wildfire outbreaks from January to December 2019, it is possible to discover the cause and consequence relation of these.
AirFlow website: http://undercontrol1156.com/hackathon/
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This project has been submitted for consideration during the Judging process.