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.

TOLNUT-Spot the fire version V3.0

Summary

Based on image processing with deep learning and processing of satellite images for India and improving accuracy as fire depends upon many process.

How We Addressed This Challenge

SINCE THE RECENT WILDFIRES HAS MADE US TO UNDERSTAND THE NEED OF WILDFIRE DETECTION AND PREVENTION

How We Developed This Project

SINCE FINDING SOLUTION FOR WILDFIRE DETECTION IS MORE CHALLENGING AND WE HAVE MORE COMPLICATIONS IN FINDING SOLUTIONS.

How We Used Space Agency Data in This Project

USING EXTERNAL DATASETS VIIRS-Visible infrared Imaging Radiometer Suite

DNB detectors that are part of the Suomi NPP and CNES.

Project Demo

The video presentation will clearly make our idea clear.

Data & Resources

https://github.com/santiagommejia/Guardian

Tags
#software solution
Judging
This project was submitted for consideration during the Space Apps Judging process.