| Records |
| Author |
Wang, C.; Qin, H.; Zhao, K.; Dong, P.; Yang, X.; Zhou, G.; Xi, X. |
Title  |
Assessing the Impact of the Built-Up Environment on Nighttime Lights in China |
Type |
Journal Article |
| Year |
2019 |
Publication |
Remote Sensing |
Abbreviated Journal |
Remote Sensing |
| Volume |
11 |
Issue |
14 |
Pages |
1712 |
| Keywords |
Remote Sensing |
| Abstract |
Figuring out the effect of the built-up environment on artificial light at night is essential for better understanding nighttime luminosity in both socioeconomic and ecological perspectives. However, there are few studies linking artificial surface properties to nighttime light (NTL). This study uses a statistical method to investigate effects of construction region environments on nighttime brightness and its variation with building height and regional economic development level. First, we extracted footprint-level target heights from Geoscience Laser Altimeter System (GLAS) waveform light detection and ranging (LiDAR) data. Then, we proposed a set of built-up environment properties, including building coverage, vegetation fraction, building height, and surface-area index, and then extracted these properties from GLAS-derived height, GlobeLand30 land-cover data, and DMSP/OLS radiance-calibrated NTL data. Next, the effects of non-building areas on NTL data were removed based on a supervised method. Finally, linear regression analyses were conducted to analyze the relationships between nighttime lights and built-up environment properties. Results showed that building coverage and vegetation fraction have weak correlations with nighttime lights (R2 < 0.2), building height has a moderate correlation with nighttime lights (R2 = 0.48), and surface-area index has a significant correlation with nighttime lights (R2 = 0.64). The results suggest that surface-area index is a more reasonable measure for estimating light number and intensity of NTL because it takes into account both building coverage and height, i.e., building surface area. Meanwhile, building height contributed to nighttime lights greater than building coverage. Further analysis showed the correlation between NTL and surface-area index becomes stronger with the increase of building height, while it is the weakest when the regional economic development level is the highest. In conclusion, these results can help us better understand the determinants of nighttime lights. |
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2072-4292 |
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GFZ @ kyba @ |
Serial |
2607 |
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| Author |
Solbrig, J.E.; Miller, S.D.; Zhang, J.; Grasso, L.; Kliewer, A. |
| Title |
Assessing the stability of surface lights for use in retrievals of nocturnal atmospheric parameters |
Type |
Journal Article |
| Year |
2020 |
Publication |
Atmospheric Measurement Techniques |
Abbreviated Journal |
Atmos. Meas. Tech. |
| Volume |
13 |
Issue |
1 |
Pages |
165-190 |
| Keywords |
Remote Sensing |
| Abstract |
The detection and characterization of aerosols are inherently limited at night because the important information provided by visible spectrum observations is not available and infrared bands have limited sensitivity to aerosols. The VIIRS Day–Night Band (DNB) onboard the Suomi-NPP satellite is a first-of-its-kind calibrated sensor capable of collecting visible and near-infrared observations during both day and night. Multiple studies have suggested that anthropogenic light emissions such as those from cities and gas flares may be useable as light sources for the retrieval of atmospheric properties, including cloud and aerosol optical depth. However, their use in this capacity requires proper characterization of their intrinsic variation, which represents a source of retrieval uncertainty. In this study we use 18 months of cloud-cleared VIIRS data collected over five selected geographic domains to assess the stability of anthropogenic light emissions and their response to varied satellite and lunar geometries. Time series are developed for each location in each domain for DNB radiance, four infrared channels, and satellite and lunar geometric variables, and spatially resolved correlation coefficients are computed between DNB radiance and each of the other variables. This analysis finds that while many emissive light sources are too unstable to be used reliably for atmospheric retrievals, some sources exhibit a sufficient stability (relative standard deviation <20 %). Additionally, we find that while the radiance variability of surrounding surfaces (i.e., unpopulated land and ocean) is largely dependent on lunar geometry, the anthropogenic light sources are more strongly correlated with satellite viewing geometry. Understanding the spatially resolved relationships between DNB radiance and other parameters is a necessary first step towards characterizing anthropogenic light emissions and establishes a framework for a model to describe variability in a more general sense. |
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1867-8548 |
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GFZ @ kyba @ |
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3005 |
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| Author |
Elsahragty, M.; Kim, J.-L. |
| Title |
Assessment and Strategies to Reduce Light Pollution Using Geographic Information Systems |
Type |
Journal Article |
| Year |
2015 |
Publication |
Procedia Engineering |
Abbreviated Journal |
Procedia Engineering |
| Volume |
118 |
Issue |
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Pages |
479-488 |
| Keywords |
Remote Sensing; GIS; Geographic Information Systems; mapping; light pollution; skyglow |
| Abstract |
Light pollution is a negative lighting condition because it prevents views of the night sky from the general population and astronomers. As a solution to light pollution, proper lighting system design is vital. The location, mounting height, and aim of exterior luminaries need to be taken into consideration for efficient use of lighting energy. In line with the effort, this paper presents the assessment results on light pollution at the port area, which is one of the brightest spots on Earth. In doing so, a GIS model is created to determine the level of light pollution at the study areas. The lighting power densities of ASHRAE 90.1-2007 are applied in order to find a way to reduce the level of light pollution. The effect of light pollution generated from the Long Beach Port area is examined by comparing against the sky glow generated from the Port of Long Beach area and other areas throughout the coast of Southern California, as well as comparing how deep the sky glow penetrates the ocean. The results are validated by comparing against the lighting specification used in the study areas. The lighting strategies proposed include the decreased height of light poles and increased spacing between light poles. This study will serve as a platform in which future researchers may continue and expand on the designs of heights and spaces of lighting poles in order to make severe light pollution areas better sustainable places. |
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Department of Civil Engineering and Construction Engineering Management, California State University, 1250 Bellflower Blvd., Long Beach, CA, 90840, USA |
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Elsevier |
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English |
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English |
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1877-7058 |
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IDA @ john @ |
Serial |
1270 |
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| Author |
Avtar, R.; Tripathi, S.; Aggarwal, A.K. |
| Title |
Assessment of Energy–Population–Urbanization Nexus with Changing Energy Industry Scenario in India |
Type |
Journal Article |
| Year |
2019 |
Publication |
Land |
Abbreviated Journal |
Land |
| Volume |
8 |
Issue |
8 |
Pages |
124 |
| Keywords |
Remote Sensing |
| Abstract |
The demand for energy has been growing worldwide, especially in India partly due to the rapid population growth and urbanization of the country. To meet the ever-increasing energy requirement while maintaining an ecological balance is a challenging task. However, the energy industry-induced effect on population and urbanization has not been addressed before. Therefore, this study investigates the linkages between energy, population, and urbanization. The study also aims to find the quantifiable indicators for the population growth and rate of urbanization due to the expanding energy industry. The integrated framework uses a multi-temporal Landsat data to analyze the urbanization pattern, a census data for changes in population growth, night time light (NTL) data as an indicator for economic development and energy production and consumption data for energy index. Multi-attribute model is used to calculate a unified metric, termed as the energy–population–urbanization (EPU) nexus index. The proposed approach is demonstrated in the National Thermal Power Corporation (NTPC) Dadri power plant located in Uttar Pradesh, India. Landsat and NTL data clearly shows the urbanization pattern, economic development, and electrification in the study area. A comparative analysis based on various multi-attribute decision model assessment techniques suggests that the average value of EPU nexus index is 0.529, which significantly large compared to other studies and require special attention by policymakers because large EPU index indicates stronger correlation among energy, population, and urbanization. The authors believe that it would help the policymakers in planning and development of future energy projects, policies, and long-term strategies as India is expanding its energy industry. |
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2073-445X |
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GFZ @ kyba @ |
Serial |
2659 |
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| Author |
Ban, Y.; Cao, C.; Shao, X. |
| Title |
Assessment of scan-angle dependent radiometric bias of Suomi-NPP VIIRS day/night band from night light point source observations |
Type |
Journal Article |
| Year |
2015 |
Publication |
Proc. SPIE 9607, Earth Observing Systems XX, 2015 |
Abbreviated Journal |
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Issue |
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Pages |
960727 |
| Keywords |
Remote sensing; Suomi NPP; VIIRS DNB; calibration |
| Abstract |
The low gain stage of VIIRS Day/Night Band (DNB) on Suomi-NPP is calibrated using onboard solar diffuser. The calibration is then transferred to the high gain stage of DNB based on the gain ratio determined from data collected along solar terminator region. The calibration transfer causes increase of uncertainties and affects the accuracy of the low light radiances observed by DNB at night. Since there are 32 aggregation zones from nadir to the edge of the scan and each zone has its own calibration, the calibration versus scan angle of DNB needs to be independently assessed. This study presents preliminary analysis of the scan-angle dependence of the light intensity from bridge lights, oil platforms, power plants, and flares observed by VIIRS DNB since 2014. Effects of atmospheric path length associated with scan angle are analyzed. In addition, other effects such as light changes at the time of observation are also discussed. The methodology developed will be especially useful for JPSS J1 VIIRS due to the nonlinearity effects at high scan angles, and the modification of geolocation software code for different aggregation modes. It is known that J1 VIIRS DNB has large nonlinearity across aggregation zones, and requires new aggregation modes, as well as more comprehensive validation. |
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Univ. of Maryland, College Park, USA |
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SPIE |
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English |
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English |
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IDA @ john @ |
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1259 |
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