Related Experiment Video
Updated: May 11, 2026
06:54
Photorealistic Learned Landscapes for Augmented Reality
Published on: June 27, 2025
Mapping lightscapes: spatial patterning of artificial lighting in an urban landscape
James D Hale1, Gemma Davies, Alison J Fairbrass
1School of Geography, Earth and Environmental Sciences, The University of Birmingham, Birmingham, West Midlands, United Kingdom. j.hale@bham.ac.uk
Plos One
|May 15, 2013
Summary
Urban artificial lighting is increasing. This study presents a fine-scale lighting dataset, revealing that while built density correlates with overall brightness, land use, particularly manufacturing and housing, dictates local lighting patterns. Efforts to reduce light pollution should include industrial security lighting.
Area of Science:
- Environmental Science
- Urban Planning
- Remote Sensing
Background:
- Artificial lighting is expanding globally with urbanization, impacting urban ecosystems and human activities.
- Understanding the spatial distribution and characteristics of urban light is crucial for city planning and environmental management.
- A significant data gap exists regarding fine-scale, city-wide lighting patterns, hindering research and policy development.
Purpose of the Study:
- To create the most detailed multi-spectral artificial lighting dataset for an entire city using aerial night photography.
- To investigate the relationships between urban lighting metrics, built density, and land-use patterns.
- To provide data-driven insights for urban lighting management and light pollution mitigation.
Main Methods:
- Acquisition of high-resolution aerial night photography across an entire urban area.
- Processing of imagery to generate multi-spectral lighting data.
- Statistical analysis correlating lighting metrics with built density and land-use classifications.
Main Results:
- A novel, fine-scale multi-spectral lighting dataset for a complete city was generated.
- Positive correlations were observed between artificial lighting indicators and built density at broader scales.
- At local scales, lighting intensity and distribution were significantly influenced by land-use, with manufacturing and housing zones being major contributors.
Conclusions:
- Urban lighting intensity is linked to built density but highly variable based on land use.
- Manufacturing and residential areas are key contributors to urban light, necessitating a broader focus for light pollution reduction strategies.
- The developed dataset offers a valuable resource for urban planners, policymakers, and researchers addressing light pollution and sustainable urban development.
Related Concept Videos
01:30Thematic Layering in GIS
In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
02:16Light Acquisition
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.