Orthorectification of Helicopter-Borne High Resolution Experimental Burn Observation from Infra Red Handheld Imagers

To pursue the development and validation of coupled fire-atmosphere models, the wildland fire modeling community needs validation data sets with scenarios where fire-induced winds influence fire front behavior, and with high temporal and spatial resolution. Helicopter-borne infrared thermal cameras...

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Vydáno v:Remote sensing (Basel, Switzerland) Ročník 13; číslo 23; s. 4913
Hlavní autoři: Paugam, Ronan, Wooster, Martin J., Mell, William E., Rochoux, Mélanie C., Filippi, Jean-Baptiste, Rücker, Gernot, Frauenberger, Olaf, Lorenz, Eckehard, Schroeder, Wilfrid, Main, Bruce, Govender, Navashni
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.12.2021
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ISSN:2072-4292, 2072-4292
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Abstract To pursue the development and validation of coupled fire-atmosphere models, the wildland fire modeling community needs validation data sets with scenarios where fire-induced winds influence fire front behavior, and with high temporal and spatial resolution. Helicopter-borne infrared thermal cameras have the potential to monitor landscape-scale wildland fires at a high resolution during experimental burns. To extract valuable information from those observations, three-step image processing is required: (a) Orthorectification to warp raw images on a fixed coordinate system grid, (b) segmentation to delineate the fire front location out of the orthorectified images, and (c) computation of fire behavior metrics such as the rate of spread from the time-evolving fire front location. This work is dedicated to the first orthorectification step, and presents a series of algorithms that are designed to process handheld helicopter-borne thermal images collected during savannah experimental burns. The novelty in the approach lies on its recursive design, which does not require the presence of fixed ground control points, hence relaxing the constraint on field of view coverage and helping the acquisition of high-frequency observations. For four burns ranging from four to eight hectares, long-wave and mid infra red images were collected at 1 and 3 Hz, respectively, and orthorectified at a high spatial resolution (<1 m) with an absolute accuracy estimated to be lower than 4 m. Subsequent computation of fire radiative power is discussed with comparison to concurrent space-borne measurements.
AbstractList To pursue the development and validation of coupled fire-atmosphere models, the wildland fire modeling community needs validation data sets with scenarios where fire-induced winds influence fire front behavior, and with high temporal and spatial resolution. Helicopter-borne infrared thermal cameras have the potential to monitor landscape-scale wildland fires at a high resolution during experimental burns. To extract valuable information from those observations, three-step image processing is required: (a) Orthorectification to warp raw images on a fixed coordinate system grid, (b) segmentation to delineate the fire front location out of the orthorectified images, and (c) computation of fire behavior metrics such as the rate of spread from the time-evolving fire front location. This work is dedicated to the first orthorectification step, and presents a series of algorithms that are designed to process handheld helicopter-borne thermal images collected during savannah experimental burns. The novelty in the approach lies on its recursive design, which does not require the presence of fixed ground control points, hence relaxing the constraint on field of view coverage and helping the acquisition of high-frequency observations. For four burns ranging from four to eight hectares, long-wave and mid infra red images were collected at 1 and 3 Hz, respectively, and orthorectified at a high spatial resolution (<1 m) with an absolute accuracy estimated to be lower than 4 m. Subsequent computation of fire radiative power is discussed with comparison to concurrent space-borne measurements.
Author Mell, William E.
Rochoux, Mélanie C.
Frauenberger, Olaf
Schroeder, Wilfrid
Filippi, Jean-Baptiste
Rücker, Gernot
Paugam, Ronan
Govender, Navashni
Wooster, Martin J.
Lorenz, Eckehard
Main, Bruce
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  surname: Paugam
  fullname: Paugam, Ronan
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  givenname: Martin J.
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  surname: Wooster
  fullname: Wooster, Martin J.
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  givenname: William E.
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  surname: Mell
  fullname: Mell, William E.
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  givenname: Mélanie C.
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  surname: Rochoux
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  givenname: Jean-Baptiste
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  givenname: Bruce
  surname: Main
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  givenname: Navashni
  surname: Govender
  fullname: Govender, Navashni
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Snippet To pursue the development and validation of coupled fire-atmosphere models, the wildland fire modeling community needs validation data sets with scenarios...
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StartPage 4913
SubjectTerms Aircraft
Algorithms
Atmospheric models
Burns
Cameras
Computation
Computer Science
Coordinates
experimental burn
Field of view
fire behavior
Forest & brush fires
Geometry
Helicopters
High resolution
Image processing
Image segmentation
Information processing
infra red
Infrared cameras
Modeling and Simulation
orthorectification
Remote sensing
Savannahs
savannas
Spatial discrimination
Spatial resolution
Unmanned aerial vehicles
Vegetation
Wildfires
wildland
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Title Orthorectification of Helicopter-Borne High Resolution Experimental Burn Observation from Infra Red Handheld Imagers
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