On the Potential of Flaming Hotspot Detection at Night via Multiband Visible/Near-Infrared Imaging

Philip Kaaret; Steve Tammes; Jun Wang; Thomas Schnell; Marc Linderman; Carlton H. Richey; Colin M. Packard; Meng Zhou; Chase A. Fuller

doi:10.3390/rs14195019

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On the Potential of Flaming Hotspot Detection at Night via Multiband Visible/Near-Infrared Imaging

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On the Potential of Flaming Hotspot Detection at Night via Multiband Visible/Near-Infrared Imaging

Philip Kaaret, Steve Tammes, Jun Wang, Thomas Schnell, Marc Linderman, Carlton H. Richey, Colin M. Packard, Meng Zhou and Chase A. Fuller

Remote sensing (Basel, Switzerland), Vol.14(5019), p.5019

10/01/2022

DOI: 10.3390/rs14195019

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Abstract

The severity of wildfires is increasing and has driven increases in nighttime fire activity. Enhanced capability to detect the active burning regions of wildfires at night could significantly improve the effectiveness of wildfire management operations. Potassium line emission in the NIR near 770 nm is a signature of active burning. We test the use of multi-band imaging from an aircraft at night to distinguish a wood-burning fire from artificial light sources. We find that a simple ratio of the signals in two broad bands, one including 770 nm, effectively discriminates the fire from artificial light sources. This offers the possibility of nighttime fire detection with high spatial resolution using silicon sensors sensitive in the NIR.

fire detection

flaming

lighting types

nighttime fire activity

nighttime lights

wildfire

Details

Title: Subtitle: On the Potential of Flaming Hotspot Detection at Night via Multiband Visible/Near-Infrared Imaging
Creators: Philip Kaaret - University of Iowa
Steve Tammes - Department of Chemical & Biochemical Engineering, The University of Iowa, Iowa City, IA 52242, USA
Jun Wang - University of Iowa
Thomas Schnell - University of Iowa
Marc Linderman - University of Iowa
Carlton H. Richey - University of Iowa
Colin M. Packard - Department of Physics & Astronomy, The University of Iowa, Iowa City, IA 52242, USA
Meng Zhou - University of Iowa
Chase A. Fuller - Department of Physics & Astronomy, The University of Iowa, Iowa City, IA 52242, USA
Resource Type: Journal article
Publication Details: Remote sensing (Basel, Switzerland), Vol.14(5019), p.5019
DOI: 10.3390/rs14195019
eISSN: 2072-4292
Publisher: MDPI AG
Grant note: DOI: 10.13039/100008893, name: University of Iowa, award: P3 - Extending Iowa’s Success in Space-Based Research Across Campus
Language: English
Date published: 10/01/2022
Academic Unit: Neurology; Electrical and Computer Engineering; Civil and Environmental Engineering; Occupational and Environmental Health; Iowa Technology Institute; Physics and Astronomy; Industrial and Systems Engineering; Public Policy Center (Archive); Chemical and Biochemical Engineering; Geographical and Sustainability Sciences
Record Identifier: 9984305460002771

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