A New Approach to Identify On-Ground Lamp Types from Night-Time ISS Images

Artificial night-time light (NTL), emitted by various on-ground human activities, has become intensive in many regions worldwide. Its adverse effects on human and ecosystem health crucially depend on the light spectrum, making the remote discrimination between different lamp types a highly important...

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Autores principales:	Natalia Rybnikova, Alejandro Sánchez de Miguel, Sviatoslav Rybnikov, Anna Brook
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	RGB ISS radiometric calibration in situ measurement lamp types fine and coarse spectral signature Science Q
Acceso en línea:	https://doaj.org/article/24a9d383073c43358c8f90665530d578
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spelling	oai:doaj.org-article:24a9d383073c43358c8f90665530d5782021-11-11T18:55:53ZA New Approach to Identify On-Ground Lamp Types from Night-Time ISS Images10.3390/rs132144132072-4292https://doaj.org/article/24a9d383073c43358c8f90665530d5782021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4413https://doaj.org/toc/2072-4292Artificial night-time light (NTL), emitted by various on-ground human activities, has become intensive in many regions worldwide. Its adverse effects on human and ecosystem health crucially depend on the light spectrum, making the remote discrimination between different lamp types a highly important task. However, such studies remain extremely limited, and none of them exploit freely available satellite imagery. In the present analysis, the possibility to remotely assess the relative contribution of different lamp types into outdoor lighting is tested. For this sake, we match two data sources: (i) the radiometrically calibrated RGB image provided by the ISS (coarse spectral resolution data), and (ii) a set of in situ measurements with detailed spectral signatures conducted by ourselves (fine spectral resolution data). First, we analyze the fine spectral resolution data: using spectral signatures of standard lamp types from the LICA UCM library as endmembers, we perform an unmixing analysis upon NTL in situ measurements; by this, we obtain the estimates for relative contributions of the standard lamp types in each examined in situ measurement. Afterward, we focus on the coarse spectral resolution data: by using various types of statistical models, we predict the estimated relative contributions of each lamp type via RGB characteristics of spatially corresponding pixels of the ISS image. The built models predict sufficiently well (with <i>R</i><sup>2</sup> reaching ~0.87) the contributions of two standard lamp types: high-pressure sodium (HPS) and metal-halide (MH) lamps, the most widespread lamp types in the study area (Haifa, Israel). The restored map for HPS allocation demonstrates high concordance with the network of municipal roads, while that for MH shows notable coincidence with the industrial facilities and the airport.Natalia RybnikovaAlejandro Sánchez de MiguelSviatoslav RybnikovAnna BrookMDPI AGarticleRGBISSradiometric calibrationin situ measurementlamp typesfine and coarse spectral signatureScienceQENRemote Sensing, Vol 13, Iss 4413, p 4413 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	RGB ISS radiometric calibration in situ measurement lamp types fine and coarse spectral signature Science Q
spellingShingle	RGB ISS radiometric calibration in situ measurement lamp types fine and coarse spectral signature Science Q Natalia Rybnikova Alejandro Sánchez de Miguel Sviatoslav Rybnikov Anna Brook A New Approach to Identify On-Ground Lamp Types from Night-Time ISS Images
description	Artificial night-time light (NTL), emitted by various on-ground human activities, has become intensive in many regions worldwide. Its adverse effects on human and ecosystem health crucially depend on the light spectrum, making the remote discrimination between different lamp types a highly important task. However, such studies remain extremely limited, and none of them exploit freely available satellite imagery. In the present analysis, the possibility to remotely assess the relative contribution of different lamp types into outdoor lighting is tested. For this sake, we match two data sources: (i) the radiometrically calibrated RGB image provided by the ISS (coarse spectral resolution data), and (ii) a set of in situ measurements with detailed spectral signatures conducted by ourselves (fine spectral resolution data). First, we analyze the fine spectral resolution data: using spectral signatures of standard lamp types from the LICA UCM library as endmembers, we perform an unmixing analysis upon NTL in situ measurements; by this, we obtain the estimates for relative contributions of the standard lamp types in each examined in situ measurement. Afterward, we focus on the coarse spectral resolution data: by using various types of statistical models, we predict the estimated relative contributions of each lamp type via RGB characteristics of spatially corresponding pixels of the ISS image. The built models predict sufficiently well (with <i>R</i><sup>2</sup> reaching ~0.87) the contributions of two standard lamp types: high-pressure sodium (HPS) and metal-halide (MH) lamps, the most widespread lamp types in the study area (Haifa, Israel). The restored map for HPS allocation demonstrates high concordance with the network of municipal roads, while that for MH shows notable coincidence with the industrial facilities and the airport.
format	article
author	Natalia Rybnikova Alejandro Sánchez de Miguel Sviatoslav Rybnikov Anna Brook
author_facet	Natalia Rybnikova Alejandro Sánchez de Miguel Sviatoslav Rybnikov Anna Brook
author_sort	Natalia Rybnikova
title	A New Approach to Identify On-Ground Lamp Types from Night-Time ISS Images
title_short	A New Approach to Identify On-Ground Lamp Types from Night-Time ISS Images
title_full	A New Approach to Identify On-Ground Lamp Types from Night-Time ISS Images
title_fullStr	A New Approach to Identify On-Ground Lamp Types from Night-Time ISS Images
title_full_unstemmed	A New Approach to Identify On-Ground Lamp Types from Night-Time ISS Images
title_sort	new approach to identify on-ground lamp types from night-time iss images
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/24a9d383073c43358c8f90665530d578
work_keys_str_mv	AT nataliarybnikova anewapproachtoidentifyongroundlamptypesfromnighttimeissimages AT alejandrosanchezdemiguel anewapproachtoidentifyongroundlamptypesfromnighttimeissimages AT sviatoslavrybnikov anewapproachtoidentifyongroundlamptypesfromnighttimeissimages AT annabrook anewapproachtoidentifyongroundlamptypesfromnighttimeissimages AT nataliarybnikova newapproachtoidentifyongroundlamptypesfromnighttimeissimages AT alejandrosanchezdemiguel newapproachtoidentifyongroundlamptypesfromnighttimeissimages AT sviatoslavrybnikov newapproachtoidentifyongroundlamptypesfromnighttimeissimages AT annabrook newapproachtoidentifyongroundlamptypesfromnighttimeissimages
_version_	1718431632112746496

A New Approach to Identify On-Ground Lamp Types from Night-Time ISS Images

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