Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

Building Lighting Device Inventories with the LANcube v2 Open Source Multiangular Radiometer

Version 1 : Received: 28 October 2022 / Approved: 31 October 2022 / Online: 31 October 2022 (11:14:33 CET)
Version 2 : Received: 1 November 2022 / Approved: 3 November 2022 / Online: 3 November 2022 (08:42:55 CET)

How to cite: Aube, M.; Houle, J. Building Lighting Device Inventories with the LANcube v2 Open Source Multiangular Radiometer. Preprints 2022, 2022100485. https://doi.org/10.20944/preprints202210.0485.v2 Aube, M.; Houle, J. Building Lighting Device Inventories with the LANcube v2 Open Source Multiangular Radiometer. Preprints 2022, 2022100485. https://doi.org/10.20944/preprints202210.0485.v2

Abstract

This paper describes the use of an open source instrument called LANcube v2 to build a lighting device inventory. The LANcube v2 is and instrument having 5 color sensitive sensors, each on a face of a cube. The instrument can be mounted on a car roof in order to create a map of the artificial light at night while roaming the streets and roads. Based on the temporal variations of the detected signal on various cube’s faces, we developed a method of finding the position in 3D of each lighting device. The lamp spectral types can be determined thanks to the color balance of the raw Red (R) Green (G) Blue (B) and Clear (C) color bands. If one assumes a typical angular photometry of a lighting device with respect to its location, it is possible to estimate its luminous flux. Such information allows us to build a lighting devices inventory of a territory. One advantage of that new method is that it can provide information about the private lighting devices that are always excluded from public lighting inventories. We will compare the inventory extracted with that new methodology with an in situ lamp inventory made for two villages in Canada. This will allow us to emphasize the strengths and limitations of the method by comparing to the ground truth.

Keywords

Remote sensing; Night; Light pollution; streetlight; radiometer; Lighting device inventory

Subject

Environmental and Earth Sciences, Environmental Science

Comments (1)

Comment 1
Received: 3 November 2022
Commenter: Martin Aubé
Commenter's Conflict of Interests: Author
Comment: A figure legend missing (fig 7) and an important typo.
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