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dc.contributor.authorAragon Solorio, Bruno Jose Luis
dc.contributor.authorJohansen, Kasper
dc.contributor.authorParkes, Stephen
dc.contributor.authorMalbeteau, Yoann
dc.contributor.authorAlmashharawi, Samir
dc.contributor.authorAl-Amoudi, Talal
dc.contributor.authorAndrade, Cristhian F
dc.contributor.authorTurner, Darren
dc.contributor.authorLucieer, Arko
dc.contributor.authorMcCabe, Matthew
dc.date.accessioned2020-06-15T11:21:11Z
dc.date.available2020-06-15T11:21:11Z
dc.date.issued2020-06-10
dc.date.submitted2020-05-07
dc.identifier.citationAragon, B., Johansen, K., Parkes, S., Malbeteau, Y., Al-Mashharawi, S., Al-Amoudi, T., … McCabe, M. F. (2020). A Calibration Procedure for Field and UAV-Based Uncooled Thermal Infrared Instruments. Sensors, 20(11), 3316. doi:10.3390/s20113316
dc.identifier.issn1424-8220
dc.identifier.pmid32532127
dc.identifier.doi10.3390/s20113316
dc.identifier.urihttp://hdl.handle.net/10754/663580
dc.description.abstractThermal infrared cameras provide unique information on surface temperature that can benefit a range of environmental, industrial and agricultural applications. However, the use of uncooled thermal cameras for field and unmanned aerial vehicle (UAV) based data collection is often hampered by vignette effects, sensor drift, ambient temperature influences and measurement bias. Here, we develop and apply an ambient temperature-dependent radiometric calibration function that is evaluated against three thermal infrared sensors (Apogee SI-11(Apogee Electronics, Santa Monica, CA, USA), FLIR A655sc (FLIR Systems, Wilsonville, OR, USA), TeAx 640 (TeAx Technology, Wilnsdorf, Germany)). Upon calibration, all systems demonstrated significant improvement in measured surface temperatures when compared against a temperature modulated black body target. The laboratory calibration process used a series of calibrated resistance temperature detectors to measure the temperature of a black body at different ambient temperatures to derive calibration equations for the thermal data acquired by the three sensors. As a point-collecting device, the Apogee sensor was corrected for sensor bias and ambient temperature influences. For the 2D thermal cameras, each pixel was calibrated independently, with results showing that measurement bias and vignette effects were greatly reduced for the FLIR A655sc (from a root mean squared error (RMSE) of 6.219 to 0.815 degrees Celsius (℃)) and TeAx 640 (from an RMSE of 3.438 to 1.013 ℃) cameras. This relatively straightforward approach for the radiometric calibration of infrared thermal sensors can enable more accurate surface temperature retrievals to support field and UAV-based data collection efforts.
dc.description.sponsorshipResearch reported in this publication was supported by the King Abdullah University of Science and Technology (KAUST).
dc.rightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleA Calibration Procedure for Field and UAV-Based Uncooled Thermal Infrared Instruments.
dc.typeArticle
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentEarth System Observation and Modelling
dc.contributor.departmentEnvironmental Science and Engineering
dc.contributor.departmentEnvironmental Science and Engineering Program
dc.contributor.departmentWater Desalination and Reuse Center, King Abdullah University of Science of Technology, Thuwal 23955, Saudi Arabia.
dc.contributor.departmentWater Desalination and Reuse Research Center (WDRC)
dc.identifier.journalSensors
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionDiscipline of Geography and Spatial Sciences, College of Sciences and Engineering, University of Tasmania, Hobart, TAS 7001, Australia.
kaust.personAragon Solorio, Bruno Jose Luis
kaust.personJohansen, Kasper
kaust.personParkes, Stephen
kaust.personMalbeteau, Yoann
kaust.personAlmashharawi, Samir
kaust.personAl-Amoudi, Talal
kaust.personAndrade, Cristhian F
kaust.personMcCabe, Matthew
dc.date.accepted2020-06-06
refterms.dateFOA2020-06-15T11:26:00Z


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This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
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