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Infrared (IR) Spectroscopy: Overview01:09

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Related Experiment Video

Updated: Jun 9, 2026

High-speed Continuous-wave Stimulated Brillouin Scattering Spectrometer for Material Analysis
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A Bi-Spectral Microbolometer Sensor for Wildfire Measurement.

Denis Dufour1, Loïc Le Noc1, Bruno Tremblay1

  • 1INO (Institut National d'Optique), 2740 Einstein Street, Québec, QC G1P 4S4, Canada.

Sensors (Basel, Switzerland)
|June 2, 2021
PubMed
Summary
This summary is machine-generated.

A new bi-spectral microbolometer sensor system reliably measures wildfire infrared radiances. This technology is suitable for fire radiative power (FRP) monitoring from low-resource platforms like drones.

Keywords:
FRPUAVmicrobolometerradiometricsatellitewildfire

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Area of Science:

  • Remote Sensing
  • Infrared Technology
  • Wildfire Science

Background:

  • Accurate radiometric measurements are crucial for understanding wildfire dynamics.
  • Existing technologies may be resource-intensive for widespread wildfire monitoring.
  • Mid-wave infrared (MWIR) microbolometers offer potential for low-cost thermal imaging.

Purpose of the Study:

  • To develop and test a prototype bi-spectral microbolometer sensor system for wildfire radiance characterization.
  • To evaluate the system's capability for radiometric measurements of biomass burning.
  • To assess the suitability of MWIR microbolometers for wildfire monitoring from low-resource platforms.

Main Methods:

  • Development of a prototype bi-spectral microbolometer sensor system.
  • Experimental testing using moderate-scale controlled burns.
  • Comparison of system's fire radiative power (FRP) retrievals with FLIR reference imagery.

Main Results:

  • The developed system demonstrated high reliability in collecting radiometric measurements of biomass burning.
  • Experimental data confirmed the capability of MWIR microbolometers for FRP measurements.
  • Statistical comparisons showed strong agreement with reference data.

Conclusions:

  • The prototype bi-spectral microbolometer system is a reliable tool for radiometric measurements of wildfires.
  • MWIR microbolometers are effective for capturing fire radiative power (FRP) data.
  • This technology presents a viable, low-resource solution for wildfire monitoring using platforms like UAVs and nanosats.