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Updated: May 25, 2026

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
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A wireless sensor network deployment for rural and forest fire detection and verification.

Jaime Lloret1, Miguel Garcia, Diana Bri

  • 1Integrated Management Coastal Research Institute, Polytechnic University of Valencia, Camino Vera s/n, 46022, Valencia, Spain; E-Mails: migarpi@posgrado.upv.es (M.G.); diabrmo@posgrado.upv.es (D.B.); sansenco@posgrado.upv.es (S.S.).

Sensors (Basel, Switzerland)
|February 1, 2012
PubMed
Summary

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This study introduces a wireless multisensor network for detecting and verifying forest fires in Spain. The system uses sensors and IP cameras to reduce false alarms and improve firefighter response in rural areas.

Area of Science:

  • Environmental Science
  • Computer Science
  • Engineering

Background:

  • Forest and rural fires cause significant environmental degradation in Mediterranean regions.
  • Current fire detection systems often lack verification capabilities and real-world implementation, with existing solutions lacking scalability.
  • There is a need for robust, scalable, and verifiable fire detection systems for remote areas.

Purpose of the Study:

  • To design, research, and develop a scalable wireless multisensor network for detecting and verifying fires in rural and forest areas.
  • To integrate wireless sensors with IP cameras for real-time fire monitoring and verification.
  • To assess the system's performance, scalability, and energy consumption.

Main Methods:

  • Development of a wireless multisensor network combining sensors and IP cameras.
Keywords:
deploymentfire detectionverificationwireless sensor networks

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  • Implementation of a central server to manage sensor alarms and direct nearby cameras.
  • Real-time image acquisition from cameras for fire verification by firefighters.
  • Testing and analysis of system performance, scalability, and energy consumption in various scenarios.

    • Main Results:

    • A functional wireless multisensor network was developed and tested.
    • The system successfully detects fires and uses IP cameras for verification, reducing false alarms.
    • Analysis of system scalability and energy consumption was performed, providing insights for deployment.
    • The system demonstrated effective real-time image transmission for remote monitoring.

    Conclusions:

    • The developed wireless multisensor network offers a scalable and effective solution for fire detection and verification in rural and forest environments.
    • Integration of sensors and IP cameras enhances situational awareness and aids in rapid, accurate response.
    • The system's ability to provide real-time, verifiable data can significantly improve firefighting efforts and reduce environmental damage.