Estimation of spectral distribution of sky radiance using a commercial digital camera

Masanori Saito; Hironobu Iwabuchi; Isao Murata

doi:10.1364/AO.55.000415

Estimation of spectral distribution of sky radiance using a commercial digital camera

Masanori Saito, Hironobu Iwabuchi, Isao Murata

Tohoku University

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Abstract

Methods for estimating spectral distribution of sky radiance from images captured by a digital camera and for accurately estimating spectral responses of the camera are proposed. Spectral distribution of sky radiance is represented as a polynomial of the wavelength, with coefficients obtained from digital RGB counts by linear transformation. The spectral distribution of radiance as measured is consistent with that obtained by spectrometer and radiative transfer simulation for wavelengths of 430-680 nm, with standard deviation below 1%. Preliminary applications suggest this method is useful for detecting clouds and studying the relation between irradiance at the ground and cloud distribution.

Original language	English
Pages (from-to)	415-424
Number of pages	10
Journal	Applied Optics
Volume	55
Issue number	2
DOIs	https://doi.org/10.1364/AO.55.000415
Publication status	Published - 2016 Jan 10

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title = "Estimation of spectral distribution of sky radiance using a commercial digital camera",

abstract = "Methods for estimating spectral distribution of sky radiance from images captured by a digital camera and for accurately estimating spectral responses of the camera are proposed. Spectral distribution of sky radiance is represented as a polynomial of the wavelength, with coefficients obtained from digital RGB counts by linear transformation. The spectral distribution of radiance as measured is consistent with that obtained by spectrometer and radiative transfer simulation for wavelengths of 430-680 nm, with standard deviation below 1%. Preliminary applications suggest this method is useful for detecting clouds and studying the relation between irradiance at the ground and cloud distribution.",

author = "Masanori Saito and Hironobu Iwabuchi and Isao Murata",

note = "Funding Information: Japan Society for the Promotion of Science (JSPS KAKENHI) (262947). The authors are grateful to Dr. Mitsumu Ejiri of the National Institute of Polar Research and Dr. Naohiro Manago of Chiba University for their assistance in the development of the camera measurement techniques and calibration processing. We also thank SKYNET for the use of the skyradiometer data in this research and the OpenCLASTR project for the use of the RSTAR package to calculate the radiative transfer. Publisher Copyright: {\textcopyright} 2016 Optical Society of America.",

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doi = "10.1364/AO.55.000415",

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AU - Saito, Masanori

AU - Iwabuchi, Hironobu

AU - Murata, Isao

N1 - Funding Information: Japan Society for the Promotion of Science (JSPS KAKENHI) (262947). The authors are grateful to Dr. Mitsumu Ejiri of the National Institute of Polar Research and Dr. Naohiro Manago of Chiba University for their assistance in the development of the camera measurement techniques and calibration processing. We also thank SKYNET for the use of the skyradiometer data in this research and the OpenCLASTR project for the use of the RSTAR package to calculate the radiative transfer. Publisher Copyright: © 2016 Optical Society of America.

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N2 - Methods for estimating spectral distribution of sky radiance from images captured by a digital camera and for accurately estimating spectral responses of the camera are proposed. Spectral distribution of sky radiance is represented as a polynomial of the wavelength, with coefficients obtained from digital RGB counts by linear transformation. The spectral distribution of radiance as measured is consistent with that obtained by spectrometer and radiative transfer simulation for wavelengths of 430-680 nm, with standard deviation below 1%. Preliminary applications suggest this method is useful for detecting clouds and studying the relation between irradiance at the ground and cloud distribution.

AB - Methods for estimating spectral distribution of sky radiance from images captured by a digital camera and for accurately estimating spectral responses of the camera are proposed. Spectral distribution of sky radiance is represented as a polynomial of the wavelength, with coefficients obtained from digital RGB counts by linear transformation. The spectral distribution of radiance as measured is consistent with that obtained by spectrometer and radiative transfer simulation for wavelengths of 430-680 nm, with standard deviation below 1%. Preliminary applications suggest this method is useful for detecting clouds and studying the relation between irradiance at the ground and cloud distribution.

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Estimation of spectral distribution of sky radiance using a commercial digital camera

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