Satellite images taken in the night (a.k.a night lights) have been extensively used as a proxy for economic activity and urbanization. The recent Visible Infrared Imaging Radiometer Suite (VIIRS) data available every 24h open up a new domain of applications i.e. monitoring the function of the city. A method is needed however in order to remove lunar illumination that is different in each night so to form a meaningful time series, free of noise. A method is proposed here and tested in several case studies. It is found to perform acceptably with minimum input and processing requirements.
A method is presented to estimate photopollution (a.k.a night-lights pollution) in a macroscopic manner, i.e. that can be applied globally, using open-domain data. Photopollution has two components, direct illumination and skyglow i.e. the diffused scattering of light in the atmosphere. The proposed method is currently focusing on direct illumination only. The novelty is that viewshed analysis is deployed, taking into account the viewing distance as well as the amount of the light at each source. Moreover, monthly variation of photopollution is measured based on recently available suitable data.
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