High-Level Project Summary
Wildfires is one of the most phenomenas that are happend in the worl nowadays, and continues to affect human and natural systems. So in order to reduce damages due to the effects of fires, is important to make a fast and smart decision based on datas from sattelites, people can make fast and smart decision to avoid critical effects. By aligning the data from platforms as FIRMS and GIOVANNI, we can locate fire points and collect the CO2 emission they are causing. With that, we can predict the amount of CO2 that that place could emit if there was no effective combat, and compare with the to scenario, measurinf the benefits through the calculation of carbon pricing and social cost of carbon.
Link to Project "Demo"
Link to Final Project
Detailed Project Description
Our idea is to evaluate the emission of carbon dioxide generated by burning monitored via satellite and estimate the reduction in emissions compared to a world where there was no quick action to contain the flames, as there is no satellite monitoring of them.
To measure the hypothetical emission in a world without satellite monitoring, we can consider the emission that would be generated by the burning of all the flammable organic mass present at the place of occurrence.
o quantify the value of this CO2 emission reduction, we can apply the resulting difference between the two emission values found (estimated value - measured value) in the carbon credit concept, thus having a monetary and social value that represents the action of the satellite monitoring of natural fires.
Through intuitive visualization and using the collected data and real-time submissions along with NASA's database and various data sources, experts can use a web platform to monitor a flare area, simultaneously calculate the emission CO2 emissions and also make a CO2 emission forecast for a specified area. With this user data, you can gain insights into the social cost of carbon, carbon pricing, and the impact on carbon credit.
Space Agency Data
The project MAIA ( Multi-Angle Imager for Aerosols) inspared us in our project to focus on the efects of the air poluition, but in the CO2 caused by the fires at the forests. And here in Brasil, we are suffering from many fires that are destroying our biomass and affecting our lives with the smoke caused.
So search in the database of NASA´s projects we find the Fire Information for Resource Management System (FIRMS), which distributes Near Real-Time (NRT) active fire data within 3 hours of satellite observation, and GIOVANNI an application allows us to visualize selected geophysical parameters.
https://firms.modaps.eosdis.nasa.gov/map/#d:24hrs;@-53.8,-15.6,6z
https://giovanni.gsfc.nasa.gov/giovanni/
So we can link the two datas em make our decision.
Hackathon Journey
This challenge was a very nice learning experience, as I left my comfort zone, studying subjects that are not in my area of knowledge. Interaction with mentors and members of other teams. Despite the fact that the entire event takes place online, it requires greater care with structure and technical problems. I believe it was an amazing and unforgettable experience. I'm already looking forward to the next events
References
[1] Resources for the future
https://www.rff.org/valuables/
[2] MAPBIOMAS [BRASIL]
https://mapbiomas.org/en
[3] Multi-Angle Imager for Aerosols (MAIA)
https://maia.jpl.nasa.gov/
[4] FIRMS - Fire Information for Resource Management System
https://firms.modaps.eosdis.nasa.gov/
[5] LANCE: NASA Near Real-Time Data and Imagery
https://earthdata.nasa.gov/earth-observation-data/near-real-time
[6] Introducing the VALUABLES Consortium Impact Assessment Framework
https://www.rff.org/publications/explainers/value-information-impact-assessment-framework/
[7] INPE´s Images Catalogue
http://www.dgi.inpe.br/DIDGI
Tags
#satellite #decisonmaker #valuables #fire #C02
Global Judging
This project has been submitted for consideration during the Judging process.