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Żagan, W.,; Skarżyński, K. |
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Title  |
Analysis of light pollution from floodlighting: Is there a different approach to floodlighting? |
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Year |
2017 |
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Light and Engineering |
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25 |
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1 |
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75-82 |
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LED lighting |
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The research which was prepared for this paper was inspired by a real floodlit object. The main distinctive feature is connected with the directionality of its lighting. The „Sezam” building was one of the first to be illuminated in the opposite way to the usual manner of floodlighting. The analysis, based on the measurement of horizontal illuminance on the pavement in front of the building andof theluminance on the facade, leads to some very unusual conclusions. It goes deeper than merely the assessment of the phenomenon of light pollution in the context of floodlighting. Additionally, a short survey about the preferences of lighting directionality in floodlighting and the general concept of light pollution was conducted on a group of over a dozen people. It turned out that people are quite aware of the phenomenon of light pollution and they rather prefer illumination from floodlighting to be from bottom to top. |
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GFZ @ kyba @ |
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2450 |
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Cao, Y.; Zhang, J.; Yang, M.; Guo, B.; Liu, M.; Yang, L.; Qu, J.; Gao, P. |
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Title |
Analysis of Lighting Changes in the Tourist City Edogawa Using Nighttime Light Data |
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Journal Article |
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Year |
2018 |
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Journal of the Indian Society of Remote Sensing |
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J Indian Soc Remote Sens |
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46 |
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10 |
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1617-1623 |
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Remote Sensing |
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When assessing remote sensing data, nighttime light data have shortcomings that can be attributed to sensor limitations and the influence of the natural environment. Signal leakage errors in nighttime light data were identified in this study. A regression model was created to reduce signal leakage error by selecting sampling points in coastal area. Lighting variations in Edogawa between 2008 and 2013 were compared based on the Defense Meteorological Satellite Program’s nighttime light data. The lighting variation characteristics in Edogawa from 1992 to 2012 at 5-year intervals were also analyzed. The results show that the 2002 FIFA World Cup held in Japan led Edogawa’s light digital number values to peak in 2002. The annual Edogawa lighting changes from 2007 to 2013 were also explored. The 2008 global financial crisis led to the lowest compounded night light index and average digital number in Edogawa during these 7 years. |
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English |
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0255-660X |
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NC @ ehyde3 @ |
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2079 |
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Marx, A.; Ziegler Rogers, M. |
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Analysis of Panamanian DMSP/OLS nightlights corroborates suspicions of inaccurate fiscal data: A natural experiment examining the accuracy of GDP data |
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Journal Article |
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2017 |
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Remote Sensing Applications: Society and Environment |
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Remote Sensing Applications: Society and Environment |
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8 |
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99-104 |
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Remote Sensing |
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Governments have incentives to misreport their economic productivity to advance their political goals. These incentives have long been understood, but the validity of government data has been difficult to estimate in the absence of viable external estimates. Using historic Defense Meteorological Satellite Program's Operational Linescan System nightlights imagery we corroborate reports that Panama's government data has been increasingly politicised since the handover of the Panama Canal on 31 December 1999. The Canal Handover represents a “natural experiment” in which the production of government data changed in Panama for reasons separate from the desire to manipulate that data. The amount of light a country produces at night, known as nightlight production, has been shown to strongly correlate with GDP. Using subnational Panamanian nightlight production from 1996 to 2012, we detect a significant divergence between the relationship of subnational reported GDP and nightlights before the Canal handover (when the U.S.A. was very involved in their statistical agencies) and the correlation after the handover (with no U.S. involvement). Our results indicate that between 2000 and 2012, Panama reported approximately 19% more GDP than what was expected by their nightlight production from 2000 to 2012, or a total of around 40 billion U.S. dollars. Our results suggest governments may engage in political manipulation of government statistics to improve the appearance of government performance. While indirect data can never definitely confirm economic phenomena, this analysis presents a unique research design and application of historic satellite imagery to corroborate reports of GDP misreporting. |
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2352-9385 |
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GFZ @ kyba @ |
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2479 |
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Author |
Shi, G.; Jiang, N.; Li, Y.; He, B. |
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Title |
Analysis of the Dynamic Urban Expansion Based on Multi-Sourced Data from 1998 to 2013: A Case Study of Jiangsu Province |
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Journal Article |
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2018 |
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Sustainability |
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Sustainability |
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10 |
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10 |
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3467 |
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Remote Sensing |
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Recently, with the fast speed of urban expansion, research concerning the regulation of urban built-up area expansion is a significant topic, especially in Eastern China with its high urbanization level. The Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) nighttime light data has a high association with the urban-rural distribution, which provides a new method to study urban expansion effectively and with relatively high accuracy. Between 1998 and 2013, China experienced a rapid economic development period, making it crucial to learn the patterns and driving forces to better manage urban master planning and sustainable development. The urban built-up area for the research years are mapped, and the annual urban expansion speed, urbanization intensity index, and built-up area gravity center are analyzed in this paper. The results will show that the amount of the urban built-up area grows continuously from 1998 to 2008, with the development focus in southern Jiangsu, while from 2008 to 2013, the development center moves to northern Jiangsu. The main driving forces behind this urban built-up area expansion are population growth and economic development. |
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2071-1050 |
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GFZ @ kyba @ |
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2018 |
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Author |
Wang, C.; Chen, Z.; Yang, C.; Li, Q.; Wu, Q.; Wu, J.; Zhang, G.; Yu, B. |
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Title |
Analyzing parcel-level relationships between Luojia 1-01 nighttime light intensity and artificial surface features across Shanghai, China: A comparison with NPP-VIIRS data |
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2020 |
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International Journal of Applied Earth Observation and Geoinformation |
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International Journal of Applied Earth Observation and Geoinformation |
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85 |
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101989 |
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Remote Sensing |
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Nighttime light (NTL) remote sensing data have been widely used to derive socioeconomic indices at national and regional scales. However, few studies analyzed the factors that may explain NTL variations at a fine scale due to the limited resolution of existing NTL data. As a new generation NTL satellite, Luojia 1-01 provides NTL data with a finer spatial resolution of ∼130 m and can be used to assess the relationship between NTL intensity and artificial surface features on an unprecedented scale. This study represents the first efforts to assess the relationship between Luojia 1-01 NTL intensity and artificial surface features at the parcel level in comparison to the Suomi National Polar-orbiting Partnership-Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) NTL data. Points-of-interest (POIs) and land-use/land-cover (LULC) data were used in random forest (RF) regression models for both Luojia 1-01 and NPP-VIIRS to analyze the feature contribution of artificial surface features to NTL intensity. The results show that luminosity variations in Luojia 1-01 data for different land-use types were more significant than those in NPP-VIIRS data because of the finer spatial resolution and wider measurement range. Seventeen variables extracted from POI and LULC data explained the Luojia 1-01 and NPP-VIIRS NTL intensity, with a good out-of-bag score of 0.62 and 0.76, respectively. Moreover, Luojia 1-01 data had fewer “blooming” phenomena than NPP-VIIRS data, especially for cropland, water body, and rural area. Luojia 1-01 is more suitable for estimating socioeconomic activities and can attain more comprehensive information on human activities, since the feature contribution of POI variables is more sensitive to NTL intensity in the Luojia 1-01 RF regression model than that in the NPP-VIIRS RF regression model. |
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0303-2434 |
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GFZ @ kyba @ |
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2745 |
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