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Author Tang, L.; Cheng, H.; Qu, G. url  doi
openurl 
  Title Estimating Provincial Economic Development Level of China Using DMSP/OLS Nighttime Light Satellite Imagery Type Journal Article
  Year 2013 Publication (up) Advanced Materials Research Abbreviated Journal Amr  
  Volume 807-809 Issue Pages 1903-1908  
  Keywords Curve Fitting; DMSP/OLS Nighttime Light; Economic Development; Provincial Scale; Regression Analysis; *Economics  
  Abstract How to estimate regional economic development level is important for solving regional inequality problems. Most of previous studies on regional economic development are based on the statistics collected typically in administrative units. This paper has analyzed the defects of traditional studies, and attempted to research regional economic development problems with 10-year DMSP/OLS nighttime light satellite imagery as a new data source. For exploring the relationship between DMSP/OLS nighttime light data and GDP, different types of curve fitting regression models have been tried, the Cubic model has shown the best performance with a coefficient of determination (R2) equal to 0.803. Based on this positive correlation, we have estimated provincial economic development level of China using DMSP/OLS nighttime light data. The research results have indicated that the DMSP/OLS nighttime light data can well reveal provincial economic development levels.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1662-8985 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ john @ Serial 202  
Permanent link to this record
 

 
Author Fulop, P.; Hanuliak, P.; Mankova, L. url  doi
openurl 
  Title Case Study of Light Pollution in Urbanized Area of Slovakia Type Journal Article
  Year 2014 Publication (up) Advanced Materials Research Abbreviated Journal Amr  
  Volume 899 Issue Pages 277-282  
  Keywords Slovakia; light pollution; light at night; public policy  
  Abstract This paper deals with the problem of light pollution and its potential impact on human body. Loss of darkness during the night has a negative effect on the environment, animals, plants and humans. Concerning humans, the light during the night can lead to desynchronization of circadian rhythms with subsequent lower production of sleeping hormone called melatonin. In addition to the negative impact on organisms, there is also economical effect of wastage of lighting during the night. Pollution caused by the occurrence of light during the night is relatively new term, which has been perceived very roughly so far. That is probably the reason, why Slovak legislation deals with this problem very roughly. Some limitation levels of illuminance of billboards were stated, but the legislation doesn ́t deal with the effect of the occurrence of higly influential light during the night on people at their homes.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1662-8985 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ john @ Serial 325  
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Author Bukalev, A.V.; Vinogradova, I.A.; Zabezhinskii, M.A.; Semenchenko, A.V.; Anisimov, V.N. url  doi
openurl 
  Title Light pollution increases morbidity and mortality rate from different causes in female rats Type Journal Article
  Year 2013 Publication (up) Advances in Gerontology Abbreviated Journal Adv Gerontol  
  Volume 3 Issue 3 Pages 180-188  
  Keywords light-at-night; spontaneous tumors; nontumor pathology epiphysis; rats; animals; mammals  
  Abstract The influence of different light regimes (constant light, LL; constant darkness, DD; standard light regime, LD, 12 hours light/12 hours darkness; and natural lighting of the northwest of Russia (NL) on non-tumor pathology revealed in the post-mortem examination of female rats has been studied. It was found that keeping 25-days-old animals under LL and NL conditions led to an increase in the number of infectious diseases and the substantially faster development of spontaneous tumors (2.9 and 3.3 diseases per one rat, respectively), variety of nontumor pathology found in dead rats, compared with the animals in standard (standard light) regime (1.72 diseases per one rat). Light deprivation (DD) led to a substantial reduction in the development of new growth, as well as nontumor and infectious diseases (1.06 diseases per one rat), compared to the same parameters in a standard light regime.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2079-0570 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ john @ Serial 89  
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Author Wang, W.; Cheng, H.; Zhang, L. url  doi
openurl 
  Title Poverty assessment using DMSP/OLS night-time light satellite imagery at a provincial scale in China Type Journal Article
  Year 2012 Publication (up) Advances in Space Research Abbreviated Journal Advances in Space Research  
  Volume 49 Issue 8 Pages 1253-1264  
  Keywords DMSP/OLS night-time light; Provincial scale; Socio-economic development; Principal component analysis; Poverty index; DMSP-OLS; remote sensing  
  Abstract All countries around the world and many international bodies, including the United Nations Development Program (UNDP), United Nations Food and Agricultural Organization (FAO), the International Fund for Agricultural Development (IFAD) and the International Labor Organization (ILO), have to eliminate rural poverty. Estimation of regional poverty level is a key issue for making strategies to eradicate poverty. Most of previous studies on regional poverty evaluations are based on statistics collected typically in administrative units. This paper has discussed the deficiencies of traditional studies, and attempted to research regional poverty evaluation issues using 3-year DMSP/OLS night-time light satellite imagery. In this study, we adopted 17 socio-economic indexes to establish an integrated poverty index (IPI) using principal component analysis (PCA), which was proven to provide a good descriptor of poverty levels in 31 regions at a provincial scale in China. We also explored the relationship between DMSP/OLS night-time average light index and the poverty index using regression analysis in SPSS and a good positive linear correlation was modelled, with R2 equal to 0.854. We then looked at provincial poverty problems in China based on this correlation. The research results indicated that the DMSP/OLS night-time light data can assist analysing provincial poverty evaluation issues.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0273-1177 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ john @ Serial 206  
Permanent link to this record
 

 
Author Liang, H.; Guo, Z.; Wu, J.; Chen, Z. url  doi
openurl 
  Title GDP spatialization in Ningbo City based on NPP/VIIRS night-time light and auxiliary data using random forest regression Type Journal Article
  Year 2019 Publication (up) Advances in Space Research Abbreviated Journal Advances in Space Research  
  Volume in press Issue Pages S0273117719307136  
  Keywords Remote Sensing; GDP; gross domestic product; spatialization; VIIRS-DNB; Nighttime light; numerical methods  
  Abstract Accurate spatial distribution information on gross domestic product (GDP) is of great importance for the analysis of economic development, industrial distribution and urbanization processes. Traditional administrative unit-based GDP statistics cannot depict the detailed spatial differences in GDP within each administrative unit. This paper presents a study of GDP spatialization in Ningbo City, China based on National Polar-orbiting Partnership (NPP)/Visible Infrared Imaging Radiometer Suite (VIIRS) night-time light (NTL) data and town-level GDP statistical data. The Landsat image, land cover, road network and topographic data were also employed as auxiliary data to derive independent variables for GDP modelling. Multivariate linear regression (MLR) and random forest (RF) regression were used to estimate GDP at the town scale and were assessed by cross-validation. The results show that the RF model achieved significantly higher accuracy, with a mean absolute error (MAE) of 109.46 million China Yuan (CNY)·km-2 and a determinate coefficient (R2=0.77) than the MLR model (MAE=161.8 million CNY·km-2, R2=0.59). Meanwhile, by comparing with the estimated GDP data at the county level, the town-level estimated data showed a better performance in mapping GDP distribution (MAE decreased from 115.1 million CNY·km-2 to 74.8 million CNY·km-2). Among all of the independent variables, NTL, land surface temperature (Ts) and plot ratio (PR) showed higher impacts on the GDP estimation accuracy than the other variables. The GDP density map generated by the RF model depicted the detailed spatial distribution of the economy in Ningbo City. By interpreting the spatial distribution of the GDP, we found that the GDP of Ningbo was high in the northeast and low in the southwest and formed continuous clusters in the north. In addition, the GDP of Ningbo also gradually decreased from the urban centre to its surrounding areas. The produced GDP map provides a good reference for the future urban planning and socio-economic development strategies.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0273-1177 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2680  
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