Espey, B.R.; Yan, X.; Patrascu, K. Real-World Urban Light Emission Functions and Quantitative Comparison with Spacecraft Measurements. Remote Sens.2023, 15, 2973.
Espey, B.R.; Yan, X.; Patrascu, K. Real-World Urban Light Emission Functions and Quantitative Comparison with Spacecraft Measurements. Remote Sens. 2023, 15, 2973.
Espey, B.R.; Yan, X.; Patrascu, K. Real-World Urban Light Emission Functions and Quantitative Comparison with Spacecraft Measurements. Remote Sens.2023, 15, 2973.
Espey, B.R.; Yan, X.; Patrascu, K. Real-World Urban Light Emission Functions and Quantitative Comparison with Spacecraft Measurements. Remote Sens. 2023, 15, 2973.
Abstract
We provide quantitative results from GIS-based modelling of urban emission functions for a range of representative low- and mid-rise locations, ranging from individual streets to residential communities within cities as well as entire towns and city regions with the aim of whether lantern photometry or built environment has the dominant effect on light pollution. We demonstrate the scalability of our work by providing results for the largest urban area modelled to date, comprising the central 117 km2 area of Dublin City and containing nearly 42,000 public lights. Our results show a general similarity in the shape of the azimuthally-averaged emission function for all areas examined, with differences in total light output distribution depending primarily on the nature of the lighting and, to a smaller extent, on the obscuring environment including seasonal foliage effects. A comparison with global satellite observations shows that they are consistent with the deduced angular emission function for other low-rise areas worldwide. We further validate our approach by comparing results for a range of urban locations by the close agreement observed in a detailed comparison of with calibrated imagery from the International Space Station. To our knowledge, this is the first such detailed quantitative verification of light loss calculations.
Keywords
light pollution; public lighting; photometry; LiDAR; Digital Elevation Models; VIIRS DNB
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
