Spectral Characterization of the AisaOWL

Harris, L; Warren, M; Grant, MG; Llewellyn, GM. 2017 Spectral Characterization of the AisaOWL. IEEE Transactions on Geoscience and Remote Sensing, 55 (5). 6, pp. /10.1109/TGRS.2017.2653241

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TGRS2653241_Completed.pdf - Accepted Version

The AisaOWL is a recent-to-market thermal hyperspectral instrument. As such, there is little information about the sensor performance in the literature. The sensor covers the 7.6 to 12.6~$\mu m$ part of the Long Wave Infra-Red region with 102 continuous bands, and is capable of imaging in low-light conditions. This paper presents an independent characterisation of the AisaOWL sensor, examining the spectral accuracy of black body measurements at different temperatures and validating manufacturer recommendations for warm-up, integration and calibration times. This analysis is essential for establishing high quality operational procedures and in giving confidence to users of the data. In this study the sensor has been found to have a maximum error of 2~\textdegree C in absolute temperature measurement, and provides spectra most accurate in the 8 to 9~$\mu m$ region. The recommended warm-up time of 15 minutes has been confirmed, with a 1~\% increase in error identified for data collected only 7 minutes after switch on. The optimal integration time of 1.18~ms has been validated and an exponential decrease in performance observed outside the 0.85 to 1.2~ms range. The detector used by the sensor is shown to have stability issues and this has been examined by comparing black body data processed with different calibration data. While the detector is operating in a stable regime compatible with the calibration, these black body readings stay within 5~\% across the central bands, approaching 10~\% below 8~$\mu m$ and just exceeding 20~\% above 11~$\mu m$.