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eSudoe
2021
2027

FIRE-RS

Wildfire Picosatellite Constellation & UAVs Remote Sensing: Active fire mapping and management

Axis 4: Combating climate change
OBJECTIVE 5B1 :
Improving the coordination and effectiveness of prevention, disasters management and rehabilitation tools of damaged areas
STATE: Terminado
CODE: SOE1/P4/E0437
TOTAL ELIGIBLE COST (€)
1.932.583,56
AID FEDER (€)
1.449.437,67
Pablo Yáñez Alfonso

PROJECT MANAGER

SECTORS: Forest fires
ANNOUNCEMENT: Primera
DURATION:
1 July, 2016
30 June, 2019
RESULTS: 0000-00-00
PRIMARY BENEFICIARY:
Universidade de Vigo. Departamento de Teoría de la Señal y Comunicaciones Departamento de Ingeniería Mecánica Departamento de Ingeniería Informática (ES)
OTHER BENEFICIARIES:

2. Universidade do Porto. Faculdade de Engenharia. Laboratório de Sistemas e Tecnologia Subaquática PT
3. Centre National de la Recherche Scientifique. Délégation Midi-Pyrénées. Laboratoire d'Analyse et d'Architecture des Systèmes FR

One of the greatest threats and environmental disasters that occur annually in south-west Europe is that of forest fires. FIRE-RS proposes to reduce their impact by providing emergency agencies and coordination centres with an innovative tool for the early detection and the efficient management of fires. During the project a multidisciplinary and international team will create a platform which by the use of new technologies will give very precise information almost in real time on the perimeter of the fire, its location, and the existing danger.

#HumansOfSudoe

FIRE RS is a project that allows to prevent, detect and map forest fires. For this, the project is based on a sustainable and innovative technology that allows remote sensing via pico-satellites and UAVs (a tool used in the strategic plans of forest fires).

The FIRE RS methodology is based on:

  • Long range and low cost infrared terrestrial sensors
  • Emergency UAVs that allow accurate mapping of fires and real-time information
  • Data processing through a forest fire management software
  • Psycho satellite detection.

Through these elements, the project offers a control software for all devices to act, detect and prevent forest fires that guarantees that emergency services receive clearer, more precise and concise information on the progress and status of a fire.

All the methodology used is applicable to other natural disasters such as floods and can cover a wide geographical area. The latter has been integrated into emergency equipment for forest fire management in the regions where the project has been developed.