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Characterizing optical filters for wildfire detectors

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dc.contributor.author Mashaba, Nikiwe P
dc.contributor.author Griffith, DJ
dc.date.accessioned 2021-02-09T10:26:07Z
dc.date.available 2021-02-09T10:26:07Z
dc.date.issued 2020-11
dc.identifier.citation Mashaba, N.P. & Griffith, D. 2020. Characterizing optical filters for wildfire detectors. http://hdl.handle.net/10204/11737 . en_ZA
dc.identifier.uri http://hdl.handle.net/10204/11737
dc.description.abstract Near infrared detectors have gained popularity, mainly in the military, because of their capability of detecting wildfires. The Council for Scientific and Industrial Research (CSIR) focuses on the development and deployment of wildfire detectors within the Southern hemisphere, specifically in Pretoria. These detectors employ ultra narrow bandpass filters which highly transmit desired wavelengths including near-infrared regimes, where wildfire detection is possible. However, these filters are dependant on environmental conditions such as temperature change. Temperature variations cause sensitivity on the angle of incidence and wavelength shift, which reduces filter transmission. Here, we characterize optical filters which can be integrated to the CSIR’s wildfire detectors. We select the best performing optical filters which optimally transmit and 770 nm and block unwanted wavelengths at different angles of incidence and temperatures. en_US
dc.format Full text en_US
dc.language.iso en en_US
dc.relation.uri http://earbm.org/conf-proceedingspdf.php?id=404&slug=ACBES-20&sid=2&catDid=168 en_US
dc.relation.uri doi.org/10.17758/EARES10 en_US
dc.relation.uri 978-93-86878-46-5 en_US
dc.source 18th South Africa International Conference on Agricultural, Chemical, Biological and Environmental Sciences (ACBES-20), Johannesburg, South Africa, 16-17 November 2020 en_US
dc.subject Bandpass filters en_US
dc.subject Near infrared imaging en_US
dc.title Characterizing optical filters for wildfire detectors en_US
dc.type Conference Presentation en_US
dc.description.pages 212-215 en_US
dc.description.note Paper presented at the 18th South Africa International Conference on Agricultural, Chemical, Biological and Environmental Sciences (ACBES-20), Johannesburg, South Africa, 16-17 November 2020 en_US
dc.description.cluster Defence and Security
dc.description.impactarea Optronic Sensor Systems en_US
dc.identifier.apacitation Mashaba, N. P., & Griffith, D. (2020). Characterizing optical filters for wildfire detectors. http://hdl.handle.net/10204/11737 en_ZA
dc.identifier.chicagocitation Mashaba, Nikiwe P, and DJ Griffith. "Characterizing optical filters for wildfire detectors." <i>18th South Africa International Conference on Agricultural, Chemical, Biological and Environmental Sciences (ACBES-20), Johannesburg, South Africa, 16-17 November 2020</i> (2020): http://hdl.handle.net/10204/11737 en_ZA
dc.identifier.vancouvercitation Mashaba NP, Griffith D, Characterizing optical filters for wildfire detectors; 2020. http://hdl.handle.net/10204/11737 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Mashaba, Nikiwe P AU - Griffith, DJ AB - Near infrared detectors have gained popularity, mainly in the military, because of their capability of detecting wildfires. The Council for Scientific and Industrial Research (CSIR) focuses on the development and deployment of wildfire detectors within the Southern hemisphere, specifically in Pretoria. These detectors employ ultra narrow bandpass filters which highly transmit desired wavelengths including near-infrared regimes, where wildfire detection is possible. However, these filters are dependant on environmental conditions such as temperature change. Temperature variations cause sensitivity on the angle of incidence and wavelength shift, which reduces filter transmission. Here, we characterize optical filters which can be integrated to the CSIR’s wildfire detectors. We select the best performing optical filters which optimally transmit and 770 nm and block unwanted wavelengths at different angles of incidence and temperatures. DA - 2020-11 DB - ResearchSpace DP - CSIR J1 - 18th South Africa International Conference on Agricultural, Chemical, Biological and Environmental Sciences (ACBES-20), Johannesburg, South Africa, 16-17 November 2020 KW - Bandpass filters KW - Near infrared imaging LK - https://researchspace.csir.co.za PY - 2020 T1 - Characterizing optical filters for wildfire detectors TI - Characterizing optical filters for wildfire detectors UR - http://hdl.handle.net/10204/11737 ER - en_ZA
dc.identifier.worklist 24016


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