For our Application click the url:

https://ntua-gis.maps.arcgis.com/apps/webappviewer/index.html?id=3bf477e7741547b79944efa3ca0afb93

The application that we have created essentially gives the possibility :

To see the fires that occur 24/7 from the modis and virs satellites.To observe the burnt areas from previous years (we have introduced indicatively only for the years 2018 and 2023). At the same time the user can locate his location, import a point where he observes a fire, take or upload a photo or video of the fire, create a linear feature for his estimated direction of the fire. Also, he can digitize new already burnt areas with polygon features. Α route is created from the fire station to the point of the fire and can be printed as in the forests and remote areas there is no sign and no internet.

The application was developed in an environment ArcGIS Online, an Esri's web-based mapping software (tools : remote sensing, informatics, digital cartography). Our data sources were from :

1)FIRMS - Fire Information for Resource Management System (FIRMS): MODIS & VIIRS Fire / Hotspots, in Europe, 24h and 7 days

2)European Forest Fire Information System (EFFIS): Burned areas of 2018 and 2023 (indicatively)

3)Data for ArcGIS Online (for routing)

This application gives the opportunity to the user to participate actively in fighting a fire quickly. We hope this application becomes popular and be used from all the people mainly in remote areas.

Future plans :

1)The important thing will be to install sensors in hard-to-reach places, which apart from the user will also define points in the application when it catches fire.

2)Automated Wildlife Relocation: Develop a fleet of autonomous or remotely operated vehicles (drones, rovers, or ground vehicles) equipped with non-lethal wildlife deterrent devices. These devices could include sirens, bright lights, or even non-harmful chemicals to deter animals.

3)It will also work without internet.

4)The camera will turn on automatically, such as the famous app Be Real. Also, with algorithms of AI, Machine Learning and Deep Learning, in order to detect fires and smoke to filter the validity of photos.

5)Automatic identification of areas at risk of desertification and soil erosion and hazard maps when fire protection zones are established, introduction of the level of erosion.

6)New layers: fire-fighting vehicles, fire hydrant locations and fire stations, smoke dispersion service, temperature and weather conditions, create daily fire risk map, locations of medical facilities, shelters

2023 NASA Space Apps Challenge

On Fire