Assessment of outdoor lighting installations and their impact on light pollution using unmanned aircraft systems - The concept of the drone-gonio-photometer

Zhou

et al. 2020

Sensors

Nighttime lights (NTL) create a unique footprint left by human activities, which can reflect the economic index and demographic characteristics of a country or region to some extent. It is of great significance to explore the impact of land features related to social–economic indexes to NTL intensity in urban areas. At present, there are few studies on the impact factors of high-resolution NTL remote sensing data to analyze the influence of NTL intensity variation at a fine scale. In this paper, taking Changchun, China as a case study, we selected the new generation of high spatial resolution (0.92 m) and multispectral bands NTL image JL1-3B data to evaluate the relationship between NTL intensity and related land features such as the normalized difference vegetation index (NDVI), land use types and point of information (POI) at the parcel level, and combined Luojia 1-01 images for comparative analysis. After screening features by the Gini index, 17 variables were selected to establish the best random forest (RF) regression model for the Luojia 1-01 and JL1-3B data, corresponding to out-of-bag (oob) scores of 0.8304 and 0.9054, respectively. The impact of features on NTL was determined by calculating the features contribution. It was found that JL1-3B data perform better on a finer scale and provide more information. In addition, JL1-3B data are less affected by light overflow effect and saturation, and they could provide more accurate information at smaller parcels. Through the impact analysis of land features on the two kinds of NTL data, it is proven that JL1-3B images can be used to study effectively the relationship between NTL and human activities information. This paper aims to establish a regression model between the radiance of two types of NTL data and land features by RF algorithm, to further excavate the main land features that impact radiance according to the feature contribution, and compare the performance of two types of NTL data in regression. The study is expected to provide a reference to the further application of NTL data such as land feature inversion, artificial surface monitoring and evaluation, geographic information point estimation, information mining, etc., and a more comprehensive cognition of land feature impact to urban social–economic indexes from a unique perspective, which can be used to assist urban planning and related decision-making.

Section: Discussionmentioning

confidence: 99%

The Impact Analysis of Land Features to JL1-3B Nighttime Light Data at Parcel Level: Illustrated by the Case of Changchun, China

Zhou

et al. 2020

Sensors

“…Aerial surveys excel at * G. Gyuk, E-mail address: ggyuk@adlerplanetarium.org capturing high-resolution, color data on an urban scale. Recently, work has been done with unmanned aerial vehicles and large-scale research balloons [10,11].…”

Section: Remote Sensing For Alanmentioning

confidence: 99%

Light Pollution Mapping from a Stratospheric High-Altitude Balloon Platform

Walczak¹,

Gyuk

García

et al. 2021

IJSL

The NITELite (Night Imaging of Terrestrial Environments Lite) system is a method of collecting regional-scale light emissions data from a latex high-altitude balloon (LHAB) platform. An LHAB can reach altitudes of 25-30km from where the nighttime imaging is performed. LHAB missions are relatively low cost (<$2000US/flight) and easy to repeat. A NITELite mission collects data with high resolution (<10m/px), color information (RGB) over a region of thousands of square kilometers. This system provides a new source of data for remote sensing of artificial light at night (ALAN) research, filling the data gap between aerial and satellite observations. Nighttime LHAB-based imaging can provide data to support fields of ALAN research such as observation of real-time variability, monitoring effects of seasonal changes and events of interest, and measuring angular dependence of ALAN sources. NITELite includes an imaging system, an inertial and positional recording on-board-computer, and an altitude control system. Preliminary results demonstrate the potential of this method for future ALAN research.

Balkan Journal of Electrical and Computer Engineering

“…Recently, there has been a growing awareness in research and policy that artificial light is not entirely harmless [60]. Accordingly, the increase in light pollution has triggered a large number of research groups to research the impact of artificial light and especially Light Emitting Diode (LED) and colour-rich sources on sky glare [65]. Also, the emphasis has been placed not only on the quality of illumination but also on the subjective interpretation of light impressions and the adjustment of light to the human circadian rhythm [66].…”

Section: Outdoor Lightingmentioning

confidence: 99%

“…That is, it is the luminous flux that radiates directly into the upper hemisphere and does not interact with any surface. Additionally, the reflected component is the sum of the reflection of the light on the illuminated surfaces and the reflection of the light from the surfaces not intended to be illustrated [65]. To reduce the effect of this situation, it is essential to choose the right luminaire and use the right lighting method.…”

Section: Outdoor Lightingmentioning

confidence: 99%

“…New technology in lighting controls and smart lighting fixtures helps guide adaptive lighting. Several studies also show that outdoor adaptive systems have the potential to reduce the effects of light pollution [65]. Luminaires, which can be dimmed depending on the movement or the ambient light level, and can dim when necessary, are one of the critical parts of smart outdoor lighting.…”

Section: Outdoor Lightingmentioning

confidence: 99%

See 1 more Smart Citation

Light Pollution and Smart Outdoor Lighting

Küçük

Ekren

2021

With the developing technology and increasing urbanization, many problems have started to arise in the use of energy resources and nature. In addition to environmental effects, energy-saving considerations constitute the main purpose of any proposed smart system. In outdoor lighting, along with the use of energy-efficient bulbs, the lighting should be done with the right method and the right way. In addition to these, an intelligent system integrated with an automatic control mechanism is needed. Incorrect outdoor lighting causes unnecessary energy consumption as well as light pollution and CO2 emission. These situations have negative consequences on both mental and physical health of the human, as well as on other living creatures and nature. Therefore, smart outdoor lighting systems offer an essential solution in preventing negative consequences that may occur with incorrect outdoor lighting. In this study, outdoor lighting requirements, light pollution and smart cities are examined in detail and the smart outdoor lighting systems within the scope of the smart cities are emphasized. As a result, the importance and necessity of the smart outdoor lighting system which provides energy-efficient and environmentally friendly structures by enabling street lamps to work smartly and efficiently are outlined.