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Related Experiment Video

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Field Measurement of Effective Leaf Area Index using Optical Device in Vegetation Canopy
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A Review on Early Forest Fire Detection Systems Using Optical Remote Sensing.

Panagiotis Barmpoutis1, Periklis Papaioannou1, Kosmas Dimitropoulos1

  • 1Centre for Research and Technology Hellas, Information Technologies Institute, 57001 Thessaloniki, Greece.

Sensors (Basel, Switzerland)
|November 14, 2020
PubMed
Summary

Optical remote sensing offers advanced early warning systems for forest fires. This study surveys flame and smoke detection algorithms across terrestrial, airborne, and spaceborne platforms to improve fire management.

Keywords:
aerialartificial intelligenceearly fire detectionmultispectral imaging systemssatelliteterrestrial

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Area of Science:

  • Environmental Science
  • Remote Sensing Technology
  • Disaster Management

Background:

  • Increasing frequency and magnitude of natural disasters, particularly large-scale forest fires, pose significant global environmental challenges.
  • Forest fires critically impact climate change and ecosystems, necessitating effective prevention, early warning, and response strategies.

Purpose of the Study:

  • To provide a comprehensive overview of optical remote sensing technologies for early fire detection.
  • To extensively survey flame and smoke detection algorithms utilized in various remote sensing systems.

Main Methods:

  • Identification and analysis of three primary optical remote sensing system types: terrestrial, airborne, and spaceborne-based.
  • Review of diverse detection models designed for high-accuracy fire identification in complex environments.
  • Evaluation of algorithms for both flame and smoke detection.

Main Results:

  • Categorization of fire detection systems based on optical remote sensing into terrestrial, airborne, and spaceborne platforms.
  • Detailed examination of various algorithms applied to detect fire indicators (flame and smoke) across these platforms.
  • Identification of models tailored for challenging environmental conditions.

Conclusions:

  • Optical remote sensing technologies are crucial for developing effective early warning fire systems.
  • Understanding the strengths and weaknesses of current systems is vital for advancing future research and development.
  • The study contributes to enhancing fire management strategies through improved detection capabilities.