Challenges and Best Practices for Deriving Temperature Data from an Uncalibrated UAV Thermal Infrared Camera

Miniaturized thermal infrared (TIR) cameras that measure surface temperature are increasingly available for use with unmanned aerial vehicles (UAVs). However, deriving accurate temperature data from these cameras is non-trivialsince they are highly sensitive to changes in their internal temperature...

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Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 11; H. 5; S. 567
Hauptverfasser:	Kelly, Julia, Kljun, Natascha, Olsson, Per-Ola, Mihai, Laura, Liljeblad, Bengt, Weslien, Per, Klemedtsson, Leif, Eklundh, Lars
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.03.2019
Schlagworte:	Accuracy Calibration Cameras Computer and Information Sciences Computer graphics and computer vision Data- och informationsvetenskap (Datateknik) Datorgrafik och datorseende Digital imaging Earth and Related Environmental Sciences Ecosystems Environmental Sciences Field tests Flight FLIR forest Geovetenskap och relaterad miljövetenskap imagery Infrared cameras Miljövetenskap Natural Sciences Naturgeografi Naturvetenskap Nonuniformity NUC Physical Geography radiometric Remote sensing scale Sensors Spectrum analysis Surface temperature Temperature Temperature dependence Temperature effects Temperature gradients thermal infrared UAS UAV Unmanned aerial vehicles variability Vignetting water-stress Sweden Germany
ISSN:	2072-4292, 2072-4292
Online-Zugang:	Volltext
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