An Empirical Study of Relationships between Urban Lighting Indicators and Night-Time Light Radiance

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F23%3A00369413" target="_blank" >RIV/68407700:21260/23:00369413 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.14311/NNW.2023.33.021" target="_blank" >https://doi.org/10.14311/NNW.2023.33.021</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.14311/NNW.2023.33.021" target="_blank" >10.14311/NNW.2023.33.021</a>

Result language

angličtina

Original language name

An Empirical Study of Relationships between Urban Lighting Indicators and Night-Time Light Radiance

Original language description

Night-time light (NTL) radiance has a great potential in analyses of dynamic changes in patterns of human activities, and socio-economic and demographic factors. However, most of those analyses are focused on factors at global scales such as the population size, gross domestic product, electric power consumption, fossil fuel carbon dioxide emission etc. In this study we investigate the relationships between three urban lighting indicators and monthly averaged NTL radiance obtained from NASA’s Black Marble monthly NTL composites for 4 study areas in the Czech Republic at local scale. The Pearson correlation analysis was used to identify a strength of the correlations between the indicators and radiance at near-nadir for two different snow conditions. The results from the correlation show that radiance has a strong positive correlation with the number of streetlighting points and their total nominal power, while for the average mast height there were observed moderate correlation coefficients. However, the areas with larger scales have higher correlation coefficients. Moreover, we found that the correlation coefficients are higher for snow-covered condition radiances. Generalized linear (GL) regression analysis was used to examine an association between the radiance and selected indicators. Owing to the excess zeros and overdispersion in the data, the zero-inflated regression performs better than the GL regression. Results from the regression analysis evince a statistically significant relationship between the radiance and selected indicators.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20705 - Remote sensing

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Neural Network World

ISSN

1210-0552

e-ISSN

2336-4335

Volume of the periodical

33

Issue of the periodical within the volume

5

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

22

Pages from-to

375-396

UT code for WoS article

001100938500004

EID of the result in the Scopus database

2-s2.0-85178621691