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Author Hungerford, H.B.; Spangler, P.J.; Walker, N.A. url  openurl
  Title (down) Subaquatic light traps for insects and other animal organisms Type Journal Article
  Year 1955 Publication Transactions of the Kansas Academy of Science Abbreviated Journal  
  Volume 58 Issue 3 Pages 387-407  
  Keywords Animals  
  Abstract  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2431  
Permanent link to this record
 

 
Author Wang, X.; Cheng, H. url  doi
openurl 
  Title (down) Study on the Temporal and Spatial Pattern Differences of Chinese Light Curl Based on DMSP/OLS Type Journal Article
  Year 2019 Publication IOP Conference Series: Earth and Environmental Science Abbreviated Journal IOP Conf. Ser.: Earth Environ. Sci.  
  Volume 310 Issue Pages 032072  
  Keywords Remote Sensing  
  Abstract Nighttime light data can detect surface gleams that can intuitively reflect human socioeconomic activity.This paper uses the DMSP/OLS nighttime lighting data from 2001 to 2007 to analyze the coupling relationship between regional economic development and nighttime light intensity in China using regression model.The results show that the brightest areas of nighttime light are mainly concentrated in the Beijing-Tianjin-Hebei region, the Yangtze River Delta region, and the Pearl River Delta region. With the change of theyear, the brightness of the three regions is brighter year by year, indicating that the economy is more and more developed.The linear regression model of total brightness and GDP of regional light: Y=792.218+0.024X, linear slope is 0.024, indicating a positive correlation trend.The provinces and cities with the highest total brightness of the provinces and cities are Guangdong Province, Shandong Province, and Jiangsu Province, and the lowest provinces and cities are Qinghai Province and Tibet Autonomous Region.The total brightness of regional lights in China's provinces and cities is well coupled with GDP. The total brightness of regional lights in all provinces and cities is weakened from east to west. The brightness of the 11 provinces in the eastern region is the strongest, including Beijing, Tianjin, Hebei, Liaoning, Shanghai, and Jiangsu, Zhejiang, Fujian, Shandong, Guangdong, Hainan Province.The second most powerful lighting is the eight provinces in the central region including Shanxi, Jilin, Heilongjiang, Anhui, Jiangxi, Henan, Hubei, and Hunan.The weakest lighting is in the western regions of Sichuan, Chongqing, Guizhou, Yunnan, Tibet, Shaanxi, Gansu, Qinghai, Ningxia, Xinjiang, Guangxi, Inner Mongolia and other provinces (cities).In the east of the Hu Huanyong line, the nighttime lighting is higher than the west of the Hu Huanyong line.The eastern part of China's seven geographical divisions (Shanghai, Jiangsu, Zhejiang, Anhui, Jiangxi, Shandong, Fujian, and Taiwan) has the brightest night lights.The northwestern region (Shaanxi, Gansu, Qinghai, Ningxia Hui Autonomous Region, Xinjiang Uygur Autonomous Region, and Inner Mongolia Autonomous Region) has a weak night light.The brightness information of nighttime remote sensing data selected in this study can reflect the level of regional economic development.  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1755-1315 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2670  
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Author Yun, Hee-Kyung; Choi, Tae-Bong; Kim, Bu-Kyung; Kim, Hoon 윤희경; 최태봉; 김부경; 김훈 url  doi
openurl 
  Title (down) Study on the Standard Guideline of Environmental Impact Assessment Focusing on Light Pollution 빛공해 분야의 환경영향평가 지침 표준화 연구 Type Journal Article
  Year 2019 Publication Journal of Environmental Impact Assessment (환경영향평가) Abbreviated Journal  
  Volume 28 Issue 1 Pages 63-70  
  Keywords Planning  
  Abstract Artificial lighting is an essential part, but it causes light pollution due to unnecessary or excessive use of light. Light pollution has negative effects such as power waste, adverse health effects, destruction of the ecosystem. But currently, light pollution is managed only post-management. The purpose of this study is to standardize methods of environmental impact assessment focusing on light pollution to effectively manage and reduce the negative effect of areas that may cause light pollution in advance.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Korean Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ intern @ Serial 2632  
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Author Wang, X.; Liu, G.; Coscieme, L.; Giannetti, B.F.; Hao, Y.; Zhang, Y.; Brown, M.T. url  doi
openurl 
  Title (down) Study on the emergy-based thermodynamic geography of the Jing-Jin-Ji region: Combined multivariate statistical data with DMSP-OLS nighttime lights data Type Journal Article
  Year 2019 Publication Ecological Modelling Abbreviated Journal Ecological Modelling  
  Volume 397 Issue Pages 1-15  
  Keywords Remote Sensing  
  Abstract Emergy analysis is one of the ecological thermodynamics methods. With a specific set of indicators, it is proved to be highly informative for sustainability assessment of national/regional economies. However, a large amount of data needed for its calculation are from official statistical data by administrative divisions. The spatialization of emergy in early researches were limited to the administrative boundaries. The emergy inside an administrative boundary renders a single value, which hides plenty of information for more precise regional planning.

This study develops a new methodology for mapping the spatial distribution of emergy density of a region. The renewable resource distribution can be mapped based on latest geospatial datasets and GIS technology, instead of solely relying on statistics and yearbooks data. Besides, a new spatialization method of non-renewable emergy based on DMSP-OLS nighttime lights data is proposed. Combined with the radiation calibration data, the problem of light saturation of DMSP-OLS nighttime lights data was solved to improve the emergy spatial detail of city centers. With a case study of Jing-Jin-Ji region, results showed that this method could generate a high-resolution map of emergy use, and depict human disturbance to the environment in a more precise manner. This may provide supportive information for more precise land use planning, strategic layout and policy regulation, and is helpful for regional sustainable development.
 
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0304-3800 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2192  
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Author Li, C.; Zhu, H.; Ye, X.; Jiang, C.; Dong, J.; Wang, D.; Wu, Y. url  doi
openurl 
  Title (down) Study on Average Housing Prices in the Inland Capital Cities of China by Night-time Light Remote Sensing and Official Statistics Data Type Journal Article
  Year 2020 Publication Scientific Reports Abbreviated Journal Sci Rep  
  Volume 10 Issue 1 Pages 7732  
  Keywords Remote Sensing  
  Abstract In this paper, the annually average Defense Meteorological Satellite Program-Operational Linescan System (DMSP/OLS) night-time light data is first proposed as a surrogate indicator to mine and forecast the average housing prices in the inland capital cities of China. First, based on the time-series analysis of individual cities, five regression models with gross error elimination are established between average night-time light intensity (ANLI) and average commercial residential housing price (ACRHP) adjusted by annual inflation rate or not from 2002 to 2013. Next, an optimal model is selected for predicting the ACRHPs in 2014 of these capital cities, and then verified by the interval estimation and corresponding official statistics. Finally, experimental results show that the quadratic polynomial regression is the optimal mining model for estimating the ACRHP without adjustments in most provincial capitals and the predicted ACRHP of these cities are almost in their interval estimations except for the overrated Chengdu and the underestimated Wuhan, while the adjusted ACRHP is all in prediction interval. Overall, this paper not only provides a novel insight into time-series ACRHP data mining based on time-series ANLI for capital city scale but also reveals the potentiality and mechanism of the comprehensive ANLI to characterize the complicated ACRHP. Besides, other factors influencing housing prices, such as the time-series lags of government policy, are tested and analysed in this paper.  
  Address Key Laboratory for Geographical Process Analysing and Modelling, and College of Urban and Environmental Science, Central China Normal University, 152 Luoyu Road, Wuhan, 430079, China  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2045-2322 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:32382080 Approved no  
  Call Number GFZ @ kyba @ Serial 2914  
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