FUTURE OF FOREST

FUTURE OF FOREST| Spot That Fire V3.0

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.

Summary

Forest fires are one of the most difficult natural disaster to prevent. Although it is one of the most important issues to determine and report the fire place in the fastest and most accurate way yet current methods aren’t enough. With the help of the New Generation of Camera Trap we have developed, the local and central fire departments are notified of the fire and its location quickly, thus accelerating the coordination process to extinguish the fire. Through the system we made, we leave a better future to humans, reduce the endangered species and the air pollution, with that we both prevent the global warming and help observatories to observe the space better.

How We Addressed This Challenge

With the project we made fire fighters can deal with the fire faster.

PRESENTATITON: https://drive.google.com/file/d/1LMVrCM8ZRcMMsC_I-CK9hGTVd61seS9P/view?usp=sharing

How We Developed This Project

The "Standard Photo Trap" scientists use to observe wildlife can also be modified to detect wild fires and provide practical and fast response. With the addition of Arduino GPS/GSM Shield (SIM800-SIM28) and Arduino 5 Channel Fire Sensor to these devices, we get the "New Generation Photo Traps". Thanks to the new sensors, the authorities can be informed of the situation and location of the fire. This can prevent a potential disaster.

How We Used Space Agency Data in This Project

Observatories can't observe space when there is air pollution. With our project we reduce the air pollution and it helps the observatories observe space better.

Project Demo

https://drive.google.com/file/d/1ZouA6-wwlPKV3Bqt7zHCaR-e9yZW9-Tq/view?usp=sharing

Project Code

https://github.com/FutureOfForestCode/FOF-CODES.git

Data & Resources

1- Ceyhan ÖZTEN, (2016), "Forest Fire", Trabzon Regional Directorate of Forestry

2- Vehbi TUTMAZ, Prof. Dr. Tuncay NEYİŞCİ, Hüsrev ÖZKARA, Prof. Dr. Sezgin ÖZDEN, (2020), "Forest Fires for Firefighters", Foresters Association of Turkey

3- https://earthdata.nasa.gov/earth-observation-data/near-real-time/hazards-and-disasters/air-quality

4- https://nspires.nasaprs.com/external/index.do

5- https://www.afad.gov.tr/yanginlara-karsi-alinmasi-gereken-onlemler

6- https://tr.wikipedia.org/wiki/Fotokapan

7- https://www.robimek.com/arduino-alev-sensoru-uygulamasi-arduino-flame-sensor/

8- https://pdf.direnc.net/upload/ggs01-kullanim-klavuzu.pdf

Judging

This project was submitted for consideration during the Space Apps Judging process.