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Author Wang,; Sutton,; Qi, url  doi
openurl 
  Title Global Mapping of GDP at 1 km2 Using VIIRS Nighttime Satellite Imagery Type Journal Article
  Year 2019 Publication ISPRS International Journal of Geo-Information Abbreviated Journal Ijgi  
  Volume 8 Issue 12 Pages 580  
  Keywords Remote Sensing  
  Abstract Frequent and rapid spatially explicit assessment of socioeconomic development is critical for achieving the Sustainable Development Goals (SDGs) at both national and global levels. Over the past decades, scientists have proposed many methods for estimating human activity on the Earth’s surface at various spatiotemporal scales using Defense Meteorological Satellite Program Operational Line System (DMSP-OLS) nighttime light (NTL) data. However, the DMSP-OLS NTL data and the associated processing methods have limited their reliability and applicability for systematic measuring and mapping of socioeconomic development. This study utilized Visible Infrared Imaging Radiometer Suite (VIIRS) NTL and the Isolation Forest machine learning algorithm for more intelligent data processing to capture human activities. We used machine learning and NTL data to map gross domestic product (GDP) at 1 km2. We then used these data products to derive inequality indexes (e.g., Gini coefficients) at nationally aggregate levels. This flexible approach processes the data in an unsupervised manner at various spatial scales. Our assessments show that this method produces accurate subnational GDP data products for mapping and monitoring human development uniformly across the globe.  
  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 (down) 2220-9964 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2787  
Permanent link to this record
 

 
Author Lin, J.; Shi, W. url  doi
openurl 
  Title Statistical Correlation between Monthly Electric Power Consumption and VIIRS Nighttime Light Type Journal Article
  Year 2020 Publication ISPRS International Journal of Geo-Information Abbreviated Journal Ijgi  
  Volume 9 Issue 1 Pages 32  
  Keywords Remote Sensing  
  Abstract The nighttime light (NTL) imagery acquired from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) enables feasibility of investigating socioeconomic activities at monthly scale, compared with annual study using nighttime light data acquired from the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS). This paper is the first attempt to discuss the quantitative correlation between monthly composite VIIRS DNB NTL data and monthly statistical data of electric power consumption (EPC), using 14 provinces of southern China as study area. Two types of regressions (linear regression and polynomial regression) and nine kinds of NTL with different treatments are employed and compared in experiments. The study demonstrates that: (1) polynomial regressions acquire higher reliability, whose average R square is 0.8816, compared with linear regressions, whose average R square is 0.8727; (2) regressions between denoised NTL with threshold of 0.3 nW/(cm2·sr) and EPC steadily exhibit the strongest reliability among the nine kinds of processed NTL data. In addition, the polynomial regressions for 12 months between denoised NTL with threshold of 0.3 nW/(cm2·sr) and EPC are constructed, whose average values of R square and mean absolute relative error are 0.8906 and 16.02%, respectively. These established optimal regression equations can be used to accurately estimate monthly EPC of each province, produce thematic maps of EPC, and analyze their spatial distribution characteristics.  
  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 (down) 2220-9964 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2820  
Permanent link to this record
 

 
Author Martínez-Ruiz, V.; Valenzuela-Martínez, M.; Lardelli-Claret, P.; Molina-Soberanes, D.; Moreno-Roldán, E.; Jiménez-Mejías, E. url  doi
openurl 
  Title Factors related to the risk of pedestrian fatality after a crash in Spain, 1993–2013 Type Journal Article
  Year 2019 Publication Journal of Transport & Health Abbreviated Journal Journal of Transport & Health  
  Volume 12 Issue Pages 279-289  
  Keywords Public Safety  
  Abstract Introduction

The aim of this study was to quantify the magnitude of association between pedestrian fatalities during the first 24 h after a crash and pedestrian-, driver-, vehicle- and environment-related characteristics in Spain from 1993 to 2013.

Methods

Data were analyzed for all 203,622 traffic crashes involving a pedestrian and a motor vehicle recorded in the Spanish Registry of Road Crashes with Victims. After multiple imputation for missing values, crude (CMRR) and adjusted mortality rate ratios (AMRR) were obtained for each variable with Poisson regression models.

Results

Pedestrian risk of death after a crash increased nearly exponentially with pedestrian age. Male sex, committing an infraction and having a physical defect were also associated with a higher risk of death (AMRR 1.27, 95%CI 1.17–1.37 for physical defect). Regarding driver-related factors associated with pedestrian fatalities, visual defects (AMRR 1.21, 95%CI 1.08–1.37) and the commission of a speed infraction (AMRR 2.59, 95%CI 2.43–2.76) increased the risk. Heavy vehicles (trucks, vans, buses) and the presence of passengers were also associated with a higher risk of pedestrian death. The risk of pedestrian death was lower for crashes that occurred between 12:00 and 14:00, in good light conditions, at intersections, and when the pedestrian was on a sidewalk. Risk was higher in crashes in rural areas with fewer than 5000 inhabitants.

Conclusions

We identified several factors strongly associated with the risk of pedestrian fatality; some of these factors are analyzed here for the first time. This knowledge is potentially useful in the design and prioritization of measures intended to increase pedestrian safety.
 
  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 (down) 2214-1405 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2236  
Permanent link to this record
 

 
Author Kumar, P.; Ashawat, M.S.; Pandit, V.; Sharma, D.K. url  doi
openurl 
  Title Artificial Light Pollution at Night: A Risk for Normal Circadian Rhythm and Physiological Functions in Humans Type Journal Article
  Year 2019 Publication Current Environmental Engineering Abbreviated Journal Cee  
  Volume 6 Issue 2 Pages 111-125  
  Keywords Human Health; Review  
  Abstract From the past three to four decades, ecologists and scientists have exhaustively studied the effect of increased artificial light pollution at night on the ecological and physiological behavior of mammals. The Suprachiasmatic Nuclei (SCN) or master clock in the brain of mammals including humans synchronizes the physiological functions with the light: dark cycle. The prolongation of light period in the light: dark cycle disrupts the circadian rhythm of mammals causing several negative or modified physiological consequences. Changed physiological level of melatonin, an important endocrine hormone, had been identified as an important factor causing different consequences such as cancer, diabetes mellitus, metabolic disturbances, oxidative stress, and depression. The presence of artificial light at night is the demand of the era but thoughts must be given to the prevention of consequences due to artificial light pollution and ‘how much is needed’. The review paper discusses the effect of artificial light pollution on the biological clock of humans and associated negative physiological consequences. Further, the paper also briefly discusses the economics of light pollution and measures needed to prevent physiological disorders in humans.  
  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 (down) 2212-7178 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2695  
Permanent link to this record
 

 
Author Kumar, P.; Rehman, S.; Sajjad, H.; Tripathy, B.R.; Rani, M.; Singh, S. url  doi
openurl 
  Title Analyzing trend in artificial light pollution pattern in India using NTL sensor's data Type Journal Article
  Year 2019 Publication Urban Climate Abbreviated Journal Urban Climate  
  Volume 27 Issue Pages 272-283  
  Keywords Remote Sensing; India; DMSP; DMSP-OLS  
  Abstract Exponential growth of population and the resultant rapid rate of urbanization and industrialization in India have significantly transformed its nighttime light environment. The study makes an attempt to analyze the spatio-temporal pattern of light pollution and its causative actors in a fast-developing economy. We utilized nighttime light data from 1993 to 2013 and calibrated through linear regression. Ten patches of major changes from the whole study area were selected to assess the intensity of light pollution at regional scale. Spatial analysis of light pollution in selected patches revealed that New Delhi, Telangana, Maharashtra, Karnataka and Uttar Pradesh experienced increase in very high light pollution intensity. West Bengal, Gujarat and Tamil Nadu witnessed a remarkable change from low to high light pollution. Urban expansion, industrial development and air pollution are main drivers for increasing light pollution. Strong correlation was found between light pollution and digital numbers (DN) values at regional scale. The maps generated through Defense Meteorological Satellite Program Operational Line Scanner Night Time Light data not only helped in assessing the intensity of light pollution but also identified its causative actors.The results of study can effectively be utilized for setting priorities of environmental protection in different geographical regions at various scales.  
  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 (down) 2212-0955 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2144  
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