What Is Our Carbon Footprint?

Your challenge is to identify local sources of carbon emissions and/or estimate amounts of carbon emissions for different human activities to aid scientists in mapping carbon sources and sinks. How can you inform decisions to adapt to the consequences of a changing world and aid policy makers in making plans for the future?

Nextage

Summary

Space agencies collect spatial satellite data on CO² emissions and impacts, and it is becoming increasingly evident that human actions have been responsible for countless damages to our planet. With that in mind, we developed a program that uses a variety of spatial data to make a layout that contains a compilation of specific information about our carbon footprint and its consequences, but we see a problem, that as useful as spatial data is, they are very complex, so we made a simple interface, but with precise numbers so that anyone without any knowledge in data science will be able to interpret them without difficulty. It is thus a useful tool for policymakers, scientists, and the public

How We Addressed This Challenge

Emissions of greenhouse gases are growing more and more, due to uncontrolled deforestation caused by burning, the development of countries, or even individual pollution caused by automobiles. It is up to each of us as an individual to understand the problem and help to reduce it, however for this we need to understand the dimension of the problem and how it is caused, and this is where Nexstage comes in.


Our software aims to demonstrate through simple graphics how much pollutants are being thrown in the air in regions determined by users. It also presents a correlation caused by historical events in order to demonstrate to the general public how past actions affect the present generation so that we understand that current actions have affected future generations.

How We Developed This Project

We used for the design of data available by Nasa such as the EARTHDATA satellite, using the databases: OCO-2, OCO-3, and Tropomi, together with these for better reflection in Brazil, INPE data made available through SISAM was also used. . For integration between them, we convert this data into CSV files and using the python language and the libraries Matplotlib, Nump, netCDF4 and pandas to plot the necessary graphics and maps for the application.

How We Used Space Agency Data in This Project

The databases mentioned above were used as sources of information for later analysis and presentation using python.

Data & Resources
  • https://disc.gsfc.nasa.gov/datasets/OCO2_L2_Lite_FP_9r/summary?keywords=OCO-2
  • https://disc.gsfc.nasa.gov/datasets/OCO3_L2_Standard_Early/summary?keywords=oco-3
  • https://disc.gsfc.nasa.gov/datasets?keywords=tropomi&page=1
  • http://queimadas.dgi.inpe.br/queimadas/sisam/v2/dados/download/
Tags
#air quality #hardware #program