Spectral Identification of Lighting Type and Character
By Christopher D. Elvidge, D. Keith, B. Tuttle, Kimberly E. Baugh. Italian National Conference on Sensors, 2010
306 citations recorded by the source corpus.
We investigated the optimal spectral bands for the identification of lighting types and the estimation of four major indices used to measure the efficiency or character of lighting. To accomplish these objectives we collected high-resolution emission spectra (350 to 2,500 nm) for forty-three different lamps, encompassing nine of the major types of lamps used worldwide. The narrow band emission spectra were used to simulate radiances in eight spectral bands including the human eye photoreceptor bands (photopic, scotopic, and “meltopic”) plus five spectral bands in the visible and near-infrared modeled on bands flown on the Landsat Thematic Mapper (TM). The high-resolution continuous spectra are superior to the broad band combinations for the identification of lighting type and are the standard for calculation of Luminous Efficacy of Radiation (LER), Correlated Color Temperature (CCT) and Color Rendering Index (CRI). Given the high cost that would be associated with building and flying a hyperspectral sensor with detection limits low enough to observe nighttime lights we conclude that it would be more feasible to fly an instrument with a limited number of broad spectral bands in the visible to near infrared. The best set of broad spectral bands among those tested is blue, green, red and NIR bands modeled on the band set flown on the Landsat Thematic Mapper. This set provides low errors on the identification of lighting types and reasonable estimates of LER and CCT when compared to the other broad band set tested. None of the broad band sets tested could make reasonable estimates of Luminous Efficacy (LE) or CRI. The photopic band proved useful for the estimation of LER. However, the three photoreceptor bands performed poorly in the identification of lighting types when compared to the bands modeled on the Landsat Thematic Mapper. Our conclusion is that it is feasible to identify lighting type and make reasonable estimates of LER and CCT using four or more spectral bands with minimal spectral overlap spanning the 0.4 to 1.0 um region.
Subfields: Endocrine and Autonomic Systems, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/19209426966fdd4c053e4b429602a4cc020ef7c3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Endocrine and Autonomic Systems
In Environmental Engineering
In Global and Planetary Change
- Thomas W. Davies
- Kevin J. Gaston
- Jonathan Bennie
- Davide M. Dominoni
- Seyed Mohammad Mirjalili
- N. Andrew
- Lesley Hughes
- J. Heino
Citations in the corpus
- The ecological impacts of nighttime light pollution: a mechanistic appraisal (2013, background): “More recent light technologies emit over a broad range of wavelengths (high-pressure sodium lighting emits a yellow light allowing some colour discrimination; high-intensity discharge lamps emit a whiter light, with significant peaks in blue and ultra-violet wavelengths, and LED-based white street l”
- MEASURING ECONOMIC GROWTH FROM OUTER SPACE (2012, unknown): “Further details about the lights data and processing can be found in Elvidge et al. (1997a, 1999, 2003, 2005, 2010), Lieske (1981), and Small et al. (2005).”
- Light pollution is a driver of insect declines (2020, background): “While the total fitness impact of an artificial light source will depend on its intensity, direction, spectral distribution (Elvidge et al., 2010), and flicker rate (Inger et al.”