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Landsat 8 TIRS calibration with external sensors
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Paper Abstract

This paper deals with a calibration algorithm to be used with data from the Thermal Infrared Sensor (TIRS) on board Landsat 8. Some non-uniform banding calibration errors have been observed in TIRS data since it was launched in 2013. Investigations have shown that this artifact is due to out-of-field radiance that scatters onto the TIRS focal plane. A calibration algorithm which utilizes TIRS image data itself to correct the stray light error has been proposed and implemented. Preliminary experiments have indicated this methodology reduces stray light artifacts significantly. However, there are some cases in which the TIRS TIRS method may not optimally mitigate stray light. These are special cases where there is a large temperature contrast between the edge of the TIRS image and of out-of-field radiance. This paper outlines an alternative approach with near-coincident image data from an external satellite sensor and compares the correction results with the current operational method, in general, and for some of the out-of-field special cases.

Paper Details

Date Published: 5 September 2017
PDF: 11 pages
Proc. SPIE 10402, Earth Observing Systems XXII, 104021H (5 September 2017); doi: 10.1117/12.2272766
Show Author Affiliations
Yue Wang, Rochester Institute of Technology (United States)
Emmett J. Ientilucci, Rochester Institute of Technology (United States)
Nina G. Raqueno, Rochester Institute of Technology (United States)
John R. Schott, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 10402:
Earth Observing Systems XXII
James J. Butler; Xiaoxiong (Jack) Xiong; Xingfa Gu, Editor(s)

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