Mashaba, Nikiwe PGriffith, DJ2021-02-092021-02-092020-11Mashaba, N.P. & Griffith, D. 2020. Characterizing optical filters for wildfire detectors. http://hdl.handle.net/10204/11737 .http://hdl.handle.net/10204/11737Near 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.Full textenBandpass filtersNear infrared imagingCharacterizing optical filters for wildfire detectorsConference PresentationMashaba, N. P., & Griffith, D. (2020). Characterizing optical filters for wildfire detectors. http://hdl.handle.net/10204/11737Mashaba, 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/10204/11737Mashaba NP, Griffith D, Characterizing optical filters for wildfire detectors; 2020. http://hdl.handle.net/10204/11737 .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 -24016