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 |
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| Hlavní autoři: | , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Basel
MDPI AG
01.12.2021
MDPI |
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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. |
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| 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 |
| Author_xml | – sequence: 1 givenname: Ronan surname: Paugam fullname: Paugam, Ronan – sequence: 2 givenname: Martin J. orcidid: 0000-0001-6375-7949 surname: Wooster fullname: Wooster, Martin J. – sequence: 3 givenname: William E. orcidid: 0000-0001-6461-5061 surname: Mell fullname: Mell, William E. – sequence: 4 givenname: Mélanie C. orcidid: 0000-0001-7698-2213 surname: Rochoux fullname: Rochoux, Mélanie C. – sequence: 5 givenname: Jean-Baptiste orcidid: 0000-0002-6244-0648 surname: Filippi fullname: Filippi, Jean-Baptiste – sequence: 6 givenname: Gernot orcidid: 0000-0001-5995-8895 surname: Rücker fullname: Rücker, Gernot – sequence: 7 givenname: Olaf orcidid: 0000-0001-5836-8578 surname: Frauenberger fullname: Frauenberger, Olaf – sequence: 8 givenname: Eckehard surname: Lorenz fullname: Lorenz, Eckehard – sequence: 9 givenname: Wilfrid surname: Schroeder fullname: Schroeder, Wilfrid – sequence: 10 givenname: Bruce surname: Main fullname: Main, Bruce – sequence: 11 givenname: Navashni surname: Govender fullname: Govender, Navashni |
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| CitedBy_id | crossref_primary_10_1071_WF24097 crossref_primary_10_1016_j_envsoft_2024_106286 crossref_primary_10_1016_j_jag_2025_104375 crossref_primary_10_1071_WF23202 crossref_primary_10_1109_JSTARS_2022_3193024 |
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| 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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