Spot That Fire V3.0

Recent wildfires worldwide have demonstrated the importance of rapid wildfire detection, mitigation, and community impact assessment analysis. Your challenge is to develop and/or augment an existing application to detect, predict, and assess the economic impacts from actual or potential wildfires by leveraging high-frequency data from a new generation of geostationary satellites, data from polar-orbiting environmental satellites, and other open-source datasets.

Pantafire

Summary

We will use a device that in the presence of fire will send a signal to the central so that the alert is issued to the authorities and, at the same time, it will begin to expel the animals present in the place, these devices can also be accessed by the central so that they can be turned on or off, to so that it becomes easier to “guide” the animals to a safe path.

How We Addressed This Challenge

Our project aims to reduce the number of animals that are burned in forest areas and at the same time we seek to alert the authorities when a fire outbreak is detected. To make this possible, we will use a network of logic boards capable of detecting the signs of fire (air humidity and temperature) and send a signal to the authorities, so that they are able to know exactly the location of the fire spots and fight them more quickly. In the same way, the logic boards will emit sound waves that are sensitive to the animals of the region, so the animals will be repelled away from the fire spots before the fire spreads to where they are.

How We Developed This Project

In last year's spaceapps, our team had initially participated in this theme, having a great influence on our choice of theme for this year, our approach this year was very different, instead of focusing on making a functional application, the approach was having the idea mature and develop it with mockups. In terms of technologies we used Arduino for the physical part of the idea and figma for mockups. Our achievement was to increase the idea with something to try to reduce the deaths of animals in fires.

How We Used Space Agency Data in This Project

https://firms.modaps.eosdis.nasa.gov/map/#d:2020-10-03..2020-10-04;l:street;@-56.3,-18.7,8z


We analyzed the data from the VIIRS 375m / NOAA-20, VIIRS 375m / Suomi NPP, MODIS / Aqua and MODIS / Terra satellites, to check the proportions, durations and frequency so that we could create a pattern in the distance of the devices so that they do not miss any outbreaks of fire. In addition, we use the data to help us find exact numbers of fire outbreaks per month and per year so that we can provide more accurate information.



Project Demo

Slides link: https://docs.google.com/presentation/d/11d_Gp-aLlx4RW6ePYJ6wYodaN069caCYcuEAHBC3b6k/edit?usp=sharing


Tags
#Pantanal #savepantanal #firefighting #saveanimals
Judging
This project was submitted for consideration during the Space Apps Judging process.