Home // PATTERNS 2020, The Twelfth International Conference on Pervasive Patterns and Applications // View article
Authors:
Michail Zhizhin
Alexey Poyda
Alexander Troussov
Sergey Maruev
Keywords: Earth Remote Sensing, Night-time lights, data mining, big data, spatio-temporal analysis, socio-economic applications.
Abstract:
The distribution of brightness of nighttime lights (NTL) at the Earth’s surface in the visible band of the electromagnetic spectrum is a new forward-looking data source for socio-economic studies. Visual and statistical analysis of this distribution in time and space requires new mathematical and geo-informational methods of cooperative processing of many raster images and vector data (geographical maps) together with socio-economic analytics. The current research develops new means of the spatiotemporal analysis, reveals basic problems of applied monitoring, and outlines forward-looking approaches to their solution.
Pages: 58 to 62
Copyright: Copyright (c) IARIA, 2020
Publication date: April 26, 2020
Published in: conference
ISSN: 2308-3557
ISBN: 978-1-61208-783-2
Location: Nice, France
Dates: from October 25, 2020 to October 29, 2020