DN Team| Spot That Fire V3.0
Spot That Fire V3.0
This world is on fireeee (fire)
Summary
Our project it's an app that is based on the open source satellite information provided by NASA and other organizations. It can make predictions of upcoming forest fires based on the region, year season, air quality and past fires, it can also evaluate the impact of said fires based on population density and vegetation and the way it can spread to nearby areas. In case of an emergency, it can inform local authorities about how they can address the emergency and minimize its impact, while also giving advice to the population through social media.
How We Addressed This Challenge
WHAT WE DEVELOPED
We developed an app that using all the information given to us and taking into consideration all the variables that can be involved in a wildfire can discover a correlation between certain conditions, and once those conditions are met it can be used to predict an emergency and give aid to authorities and society in general to prepare and address these forest fires in a way that can minimize the impact of these in the environment and community. It also has features for people to ask for aid, give feedback on the situation and question if they can help in any way.
WHY IS IT IMPORTANT
Over the past 10 years, there were an average of 64,100 wildfires annually and an average of 6.8 million acres burned annually.
As we know, in the past few years, forest fires have become a big problem and they have been a big factor on the increase of the climate change and the greenhouse gases. The wildfires in Oregon,California, Brasil, Australia, etc. gave us a good example as to why we need to address these problems the fastest and most efficient way possible to preserve vegetation and prevent future problems.
WHAT DOES IT DO AND HOW DOES IT WORK
With the use of machine learning and information of FIRMS, Lansat 8, JAXA from the past 2 years on air quality, temperature, CO2 emissions, CO emissions and consistency of wildfires in the area it is able to predict and assess how much of a problem it is. Also it can give advice to authorities using the evacuation routes on the area.
How We Developed This Project
We chose this challenge because we think wildfires are one of the biggest problems we as humanity have right now, each year these disasters happen more and more and they destroy all the vegetation in the area were they happen and contribute to the climate change.
Our approach was to try to find a relation on where and why were the wildfires happening, we found out that they pretty much happen on the same areas where its full of vegetation like Brasil, Africa and Australia and also that they were more frequent on the dry season of each region, so with that we wanted to try to predict where and when the fires would happen. Also with the population density of each area and the movement of the wind we can know how it will affect the area. So we would use all of the results we gathered so our app could find the way to resolve this in the most efficient way possible.
Right now we only have the idea of the project that we want to build because we dont have the knowledge or experience needed to make a program that would satisfy our expectations but we hope next year we can fulfill all the requirements needed to be eligible in the competition
How We Used Space Agency Data in This Project
First, we looked at recent cases and events of wildfires throughout the world, and the most affected regions. We saw their geographic location and how they could be related. Then we looked at the satellite images, and took note of the effects and spread throughout the years, and also how it related to other factors such as forests, gas emissions, air quality, surface temperature, etc. Based on these observations we decided to develop a tool able to take in a constant flux of this information, and take actions based on this data.
Project Demo
https://docs.google.com/presentation/d/1gWu5ZKIO3A3BEMsP6yeG-bVId1Vae7waqxlB4qMIAX0/edit?usp=sharing
Data & Resources
https://earthdata.nasa.gov/earth-observation-data/near-real-time/firms
https://fire.airnow.gov/?lat=19.4969438&lng=-99.1314359&zoom=10#
https://www.ospo.noaa.gov/Products/land/hms.html
https://www.nationalgeographic.com/environment/2019/08/amazon-fires-cause-deforestation-graphic-map/
https://earthobservatory.nasa.gov/images/147075/a-new-tool-for-tracking-amazon-fires