Radiometric calibration methods for day/night whole sky imagers and extinction imagers

TitleRadiometric calibration methods for day/night whole sky imagers and extinction imagers
Publication TypeJournal Article
Year of Publication2019
AuthorsShields J.E, Karr M.E
Volume58
Pagination5663-5673
Date Published2019/07
Type of ArticleArticle
ISBN Number1559-128X
Accession NumberWOS:000476625600010
Keywordscamera; cloud; lindenberg; Optics; radiance; vis/nir
Abstract

This paper discusses the new radiometric calibration methods and results that we have developed to apply to day/ night whole sky imager data and extinction imager data. Day/night whole sky imagers detect the presence and location of clouds and categorize them by opacity. The new day and night doud algorithms for these instruments are documented elsewhere, and these algorithms depend on the use of the new calibrations we have developed. In this paper, we document our calibration methods for determining the absolute radiance of the whole sky imager scene at each pixel in the images as well as the results of the calibrations. The extinction imagers are new systems we developed that determine beam transmittance and path extinction for horizontal paths through the atmosphere. These instruments and their algorithms are documented elsewhere, and they also depend on the new calibration results. The extinction imager algorithms only require relative radiances, as opposed to absolute radiances. The calibration steps for the two instruments are quite similar, and they include dark correction; linearity calibration, which corrects for nonlinearities in the signal versus flux relationship; absolute calibration (for the whole sky imager); and uniformity calibration, which corrects for pixel-to-pixel nonuniformities. These developments include methods for handling uniformity calibrations in a system using a fisheye lens and the calibration of both visible and short-wave IR systems. This paper presents both the new methods and results in support of the papers documenting the algorithms. (C) 2019 Optical Society of America

DOI10.1364/ao.58.005663
Student Publication: 
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