Advances in Forest Fire Research 2018
DOI: 10.14195/978-989-26-16-506_119
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On the use of compact thermal cameras for quantitative wildfire monitoring

Abstract: A navegação consulta e descarregamento dos títulos inseridos nas Bibliotecas Digitais UC Digitalis, UC Pombalina e UC Impactum, pressupõem a aceitação plena e sem reservas dos Termos e Condições de Uso destas Bibliotecas Digitais, disponíveis em https://digitalis.uc.pt/pt-pt/termos. Conforme exposto nos referidos Termos e Condições de Uso, o descarregamento de títulos de acesso restrito requer uma licença válida de autorização devendo o utilizador aceder ao(s) documento(s) a partir de um endereço de IP da inst… Show more

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Cited by 11 publications
(10 citation statements)
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“…An important consideration for deriving useable fire data from UAS is the stabilization of imagery to mitigate platform drift and jitter [59]. Gimbaled sensors reduce these effects, but correction is still necessary.…”
Section: Uas Imagery Stabilization and Georectificationmentioning
confidence: 99%
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“…An important consideration for deriving useable fire data from UAS is the stabilization of imagery to mitigate platform drift and jitter [59]. Gimbaled sensors reduce these effects, but correction is still necessary.…”
Section: Uas Imagery Stabilization and Georectificationmentioning
confidence: 99%
“…GCPs were also obscured by fire and smoke in some images, which led to inconsistent results across the time series. The use of image stabilization algorithms, specifically those designed for video stabilization, resolved these issues [59]. We used the warp stabilizer algorithm within Adobe After Effects (version 15.1.2) for this purpose, although open-source variants are also available.…”
Section: Uas Imagery Stabilization and Georectificationmentioning
confidence: 99%
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“…Nevertheless, turbulence from the fire often results in significant roll, pitch and yaw variations that are hard to cancel with mechanical stabilization systems only. Given camera motion during the acquisition, image registration and rectification are required before spatial inference can be completed (for example, to measure fire residence time per pixel or rate of spread).Within sensor types suitable for wildfire monitoring, optical cameras working in the thermal infrared (TIR) range are widely applied to characterize active fire behavior due to their high availability and versatility [11,15,17,31,32]. Airborne TIR cameras allow measuring fire geometry and radiated energy with high spatial and moderate temporal resolution even in the presence of smoke.…”
mentioning
confidence: 99%
“…Within sensor types suitable for wildfire monitoring, optical cameras working in the thermal infrared (TIR) range are widely applied to characterize active fire behavior due to their high availability and versatility [11,15,17,31,32]. Airborne TIR cameras allow measuring fire geometry and radiated energy with high spatial and moderate temporal resolution even in the presence of smoke.…”
mentioning
confidence: 99%