Assessing urbanization dynamics using a pixel-based nighttime light indicator

• Urbanization dynamics in Puglia, Italy were analyzed using pixel-based NTL data. • Annual changes were examined in winter and summer at regional and provincial scales. • Spatial metrics were used to explain the intensity of NTL. • NNLI was created to monitor seasonal differences and to predict tourist traffic. Nighttime light (NTL) is a reliable indicator for measuring urban development, population density, and economic activities. This study sets out to explain the spatio-temporal pattern of urbanization and population distribution using pixel-based NTL data. Changes in NTL intensity in Puglia (Italy) were evaluated from 2014 to 2023, and how NTL is affected by various spatial metrics was investigated. Summer–winter differences at the pixel level were monitored utilizing the Normalized Nighttime Light Index (NNLI), and the relationship between this indicator and tourism was assessed. A consistent increase in NTL across the region in both summer and winter was measured, with variations among provinces. Urban areas with high population density showed greater NTL values, while inland areas showed low NTL intensity. The study also revealed that proximity to urban areas was the most influential factor in predicting NTL intensity. The analysis revealed that differences between summer and winter correlated with tourist activity, especially in coastal municipalities. Leveraging NTL images can support decision-making across various sectors and aid in developing evidence-based urban strategies tailored to local needs and challenges.

Authors

Institutions

Publication Details

Journal
Ecological Indicators
Published
2024-08-23
DOI
https://doi.org/10.1016/j.ecolind.2024.112486
Citations
17
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
4.80

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing urbanization dynamics using a pixel-based nighttime light indicator

Alessandro Gardelli, Angela Stefania Bergantino, Vincenzo Giannico, Mario Elia et al.
17 citations
Ecological Indicators
Impact of Light on Environment and Health
4.80
article

Assessing urbanization dynamics using a pixel-based nighttime light indicator

Alessandro Gardelli, Angela Stefania Bergantino, Vincenzo Giannico, Mario Elia, Giovanni Sanesi, Raffaele Lafortezza, Mario Intini, Arsid Pambuku
article en
17 citations

Abstract

• Urbanization dynamics in Puglia, Italy were analyzed using pixel-based NTL data. • Annual changes were examined in winter and summer at regional and provincial scales. • Spatial metrics were used to explain the intensity of NTL. • NNLI was created to monitor seasonal differences and to predict tourist traffic. Nighttime light (NTL) is a reliable indicator for measuring urban development, population density, and economic activities. This study sets out to explain the spatio-temporal pattern of urbanization and population distribution using pixel-based NTL data. Changes in NTL intensity in Puglia (Italy) were evaluated from 2014 to 2023, and how NTL is affected by various spatial metrics was investigated. Summer–winter differences at the pixel level were monitored utilizing the Normalized Nighttime Light Index (NNLI), and the relationship between this indicator and tourism was assessed. A consistent increase in NTL across the region in both summer and winter was measured, with variations among provinces. Urban areas with high population density showed greater NTL values, while inland areas showed low NTL intensity. The study also revealed that proximity to urban areas was the most influential factor in predicting NTL intensity. The analysis revealed that differences between summer and winter correlated with tourist activity, especially in coastal municipalities. Leveraging NTL images can support decision-making across various sectors and aid in developing evidence-based urban strategies tailored to local needs and challenges.

Ecological IndicatorsVol. 166
University of Bari Aldo Moro (IT)
European Commission
Sustainable cities and communities
Openalex Percentile: Top 4%
Impact of Light on Environment and Health
4.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.