Modelling the nocturnal ecological continuum of the State of Geneva, Switzerland, based on high-resolution nighttime imagery

Ranzoni, Jessica (School of Engineering, Architecture and Landscape (hepia), HES-SO // University of Applied Sciences Western Switzerland) ; Huber, Laurent (School of Engineering, Architecture and Landscape (hepia), HES-SO // University of Applied Sciences Western Switzerland) ; Giuliani, Gregory (Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland ; Institute for Environmental Sciences, GRID-Geneva, University of Geneva, Geneva, Switzerland) ; Ray, Nicolas (Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland ; GeoHealth Group, Institute of Global Health, Faculty of Medicine, Unviersity of Geneva, Geneva, Switzerland)

The increase of artificial light in recent decades has led to a general awareness of the harmful consequences of light pollution on biodiversity. The artificial light is however rarely taken into account in the principles of developing ecological networks. There is currently no standardized method for integrating this darkness factor into ecological network modeling. We propose a methodology for the identification of the nocturnal continuum through an approach based on the automated extraction of light sources from nocturnal orthophotography and the modeling of their visibility within a territory. The model is applied to the transboundary region of the Geneva basin in Switzerland and allows for the integration of the darkness factor into the existing ecological networks. Although the analysis does not consider metric lighting data, a viewshed analysis allows for a first large-scale mapping of the nighttime continuum and highlights the areas benefiting from very low light pollution.


Keywords:
Article Type:
scientifique
Faculty:
Ingénierie et Architecture
School:
HEPIA - Genève
Institute:
inPACT - Institut du Paysage, d'Architecture, de la Construction et du Territoire
Date:
2019-11
Pagination:
7 p.
Published in:
Remote Sensing Applications: Society and Environment
Numeration (vol. no.):
2019, vol. 16, article no 100268
DOI:
ISSN:
2352-9385
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2019-12-03, last modified 2019-12-10

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