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Over the past year, we have witnessed long and arduous battles against record-breaking wildfires across the world.
Some of these fires burned thousands of acres of land and destroyed hundreds of homes and buildings. Additionally, smoke from the fire creates issues related to poor air quality, raising health concerns for people not just in the vicinity of the fire, but at distances hundreds of miles away.
Case study: USA 
Some human-caused fires result from campfires left unattended, the burning of debris, negligently discarded cigarettes and intentional acts of arson. The remaining 10 percent are started by lightning or lava.
Spotfire, a crowd-sourcing tool that can support real-time detection and monitoring of wildfires; improving environmental safety to preserve it from wildfire risk.
Spotfire, allows users to report wildfires with different means, and provides experts with the means to monitor them and make predictions.
This real-time submission of images, videos, and people comments and observations, provides crucial onsite information and can provide great help into building a wide picture of the problem for it to be properly contained; allowing people even thousands of miles away, and even those without televisions, to be notified with live pictures/videos, expanding our data collection and providing experts with various data sources to track and monitor wildfires to gain insights, make predictions, and give warnings to potential disasters. This would also raise the public’s awareness of that specific disaster.
* Each user has a profile and reporting history. He can choose a notification method, and subscribe to different locations to be notified if a wildfire occurs.
1- A user reports a wildfire in real-time by taking an image/video with an optional comment about the situation; are there injuries? are there blocked roads? how bad is the situation?
2- Once the report is submitted, it enters the verification phase; using machine learning and deep learning techniques alongside NASA database and other resources  we can answer the questions:
All these elements contribute with different weights -according to their importance and relevance- to reach a final decision and label a report as fake or verified /worthy.
3- Once reports are verified, we notify the communities at risk, close-by residents, subscribers, and local fire departments.
4- When you receive a notification, you can view a map where fire locations are reported together with the users' actual reports. You can also confirm a notification to help increase its trust rate.
You can get help of how you can prepare for a wildfire, or get information about nearby emergencies and many others.
4- Furthermore, through an intuitive visualization, and using the collected data and the real-time submissions alongside NASA database and various data sources, experts can use the web platform to track and monitor these data to gain insights, make predictions, and give warnings to potential disasters. And users are able to see wildfires occurrences worldwide.
* Weather data, Fire Email Alerts, and Earth heatmap are under development to further increase the knowledge, and help widen the scope to get better insights and observations.
We think SpotFire can greatly support real-time detection and monitoring of wildfires and it can be a great contribution to help us facing such disaster. It would have impact on:
 Wildfires facts and statistics:
 Wildfires, Causes and Evaluations:
 NASA fire database:
 Fire Detection and localization:
 Scene Classification
Youssef Ahmed Mubarak
SpaceApps is a NASA incubator innovation program.