The VIIRS Nighttime Lights average annual global dataset: exploratory and brisk trend analysis on three different domains

Existing annual global nighttime lights time series (2012-2020) based on data collected by the NASA/NOAA Visible Infrared Imaging Radiometer Suite (VIIRS) was used to identify temporal and spatial trends: input VIIRS data were used to create a multidimensional dataset, analysed by means of the creat...

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Bibliographic Details
Main Authors: Ajmar, Andrea, Arco, Emere, Eusebio, Allegra
Format: Conference Proceeding
Language:English
Subjects:
armed conflicts
Conferences
Earth
Earth Observing System
gas flaring
human activities
Infrared imaging
light pollution
multidimensional datasets
nighttime lights
Pollution
Radiometry
Time series analysis
VIIRS
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Summary:Existing annual global nighttime lights time series (2012-2020) based on data collected by the NASA/NOAA Visible Infrared Imaging Radiometer Suite (VIIRS) was used to identify temporal and spatial trends: input VIIRS data were used to create a multidimensional dataset, analysed by means of the creation of temporal trends and profiles. Results were correlated with human activities in different domains: light pollution, gas flaring extraction and armed conflicts, considered among the domains with higher social impact. The proposed approach seems capable of generating relevant insight, comparable with approaches based on daily or monthly datasets.
ISSN:2158-8481
DOI:10.1109/MELECON53508.2022.9842930