alexa Assessing The Local Hemispheric Spectral Sky Artificial Radiances Contribution And Sensitivity From Different Parts Of A Territory | 12056
ISSN: 2157-7617

Journal of Earth Science & Climatic Change
Open Access

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Assessing the local hemispheric spectral sky artificial radiances contribution and sensitivity from different parts of a territory

2nd International Conference on Earth Science & Climate Change

Martin Aube

Keynote: J Earth Sci Climate Change

DOI: 10.4172/2157-7617.S1.008

Abstract
I n this paper, we suggest to use an artificial sky radiance numerical model which account for heterogeneous distribution of light fixtures, their photometry, the satellite derived ground reflectance and topography and atmospheric optical properties to infer the point to point contribution of a given territory to the artificial sky radiance at specified observer position and viewing angles. During the past few years, the model have been validated with many in-situ hyper spectral sky radiance measurements experiments (e.g. Canary islands European Northern Observatories, Spain in 2010, US Naval Observatory, AZ USA in 2006, etc.) The model aims to identify and characterize zones at which any lighting level increase or decrease may have a larger impact on light pollution and then help to control and/or reduce light pollution levels. This innovative methodology can be seen as a high level decision tool to help local authorities to restrict or reduce light pollution unwanted impacts. Among possible application it can be used 1) to protect research class astronomical sites, 2) to constrain potential impact on human/animals health and more specifically on potential circadian cycle disruption, 3) to reduce night time induced photosynthesis on vegetation canopy, and 4) restrict unnecessary power loss from over illumination and light trespass and its impact on climate change. The model is mature for enabling public access to its results. We recently launched online interactive georeferenced model output maps. The web portal allows an easier data access and exploitation/analysis by end users from research community or civil society
Biography
Martin Aub? got his Ph.D. degree in remote sensing from Universit? de Sherbrooke, Canada and a M.Sc. degree in astrophysics from Universit? Laval, Canada. He is a Professor at C?gep de Sherbrooke physics department, where he is researcher/coordinator of GRAPHYCS research group. He is Associate Professor of the applied geomatics department at Universit? de Sherbrooke. Among many other affiliations, he is Associate Researcher at Centre d'applications et de recherche en t?l?d?tection (CARTEL), adjunct researcher at the Centre de recherche en astrophysique du Qu?bec (CRAQ), and a member of the Global Environmental and Climate Change Center (GEC3).
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