Predicting County-Level Population From VIIRS Nighttime Light Imagery With Deep Learning
Viswadeep Lebakula,
Vineela Datla,
David W. Wanik
et al.
Abstract:Nighttime light (NTL) imagery has been widely used to predict economic impacts, electricity consumption, and light pollution. In this research, we evaluated nighttime light imagery to predict the county-level population in the United States using deep learning methods. Rather than condensing the brightness information into a single statistic (e.g., mean annual brightness per county), this research aims to exploit the temporal nature of NTL imagery. Monthly composites of VIIRS imagery were analyzed for each cou… Show more
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