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Author Ratnasari, N.; Candra, E.D.; Saputra, D.H.; Perdana, A.P. url  doi
openurl 
  Title Urban Spatial Pattern and Interaction based on Analysis of Nighttime Remote Sensing Data and Geo-social Media Information Type Journal Article
  Year 2016 Publication IOP Conference Series: Earth and Environmental Science Abbreviated Journal IOP Conf. Ser.: Earth Environ. Sci.  
  Volume 47 Issue Pages 012038  
  Keywords remote sensing; geo-social media; spatial pattern; spatial interaction; urban; Indonesia  
  Abstract (down) Urban development in Indonesia significantly increasing in line with rapid development of infrastructure, utility, and transportation network. Recently, people live depend on lights at night and social media and these two aspects can depicted urban spatial pattern and interaction. This research used nighttime remote sensing data with the VIIRS (Visible Infrared Imaging Radiometer Suite) day-night band detects lights, gas flares, auroras, and wildfires. Geo-social media information derived from twitter data gave big picture on spatial interaction from the geospatial footprint. Combined both data produced comprehensive urban spatial pattern and interaction in general for Indonesian territory. The result is shown as a preliminary study of integrating nighttime remote sensing data and geospatial footprint from twitter data.  
  Address Undergraduate Program of Cartography and Remote Sensing, Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia; nila.ratnasari(at)mail.ugm.ac.id  
  Corporate Author Thesis  
  Publisher IOP Place of Publication Editor  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1755-1307 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ john @ Serial 1653  
Permanent link to this record
 

 
Author Duan, X.; Hu, Q.; Zhao, P.; Wang, S.; Ai, M. url  doi
openurl 
  Title An Approach of Identifying and Extracting Urban Commercial Areas Using the Nighttime Lights Satellite Imagery Type Journal Article
  Year 2020 Publication Remote Sensing Abbreviated Journal Remote Sensing  
  Volume 12 Issue 6 Pages 1029  
  Keywords Remote Sensing  
  Abstract (down) Urban commercial areas can reflect the spatial distribution of business activities. However, the scope of urban commercial areas cannot be easily detected by traditional methods because of difficulties in data collection. Considering the positive correlation between business scale and nighttime lighting, this paper proposes a method of urban commercial areas detection based on nighttime lights satellite imagery. First, an imagery preprocess model is proposed to correct imageries and improve efficiency of cluster analysis. Then, an exploratory spatial data analysis and hotspots clustering method is employed to detect commercial areas by geographic distribution metric with urban commercial hotspots. Furthermore, four imageries of Wuhan City and Shenyang City are selected as an example for urban commercial areas detection experiments. Finally, a comparison is made to find out the time and space factors that affect the detection results of the commercial areas. By comparing the results with the existing map data, we are convinced that the nighttime lights satellite imagery can effectively detect the urban commercial areas. The time of image acquisition and the vegetation coverage in the area are two important factors affecting the detection effect. Harsh weather conditions and high vegetation coverage are conducive to the effective implementation of this method. This approach can be integrated with traditional methods to form a fast commercial areas detection model, which can then play a role in large-scale socio-economic surveys and dynamic detection of commercial areas evolution. Hence, a conclusion can be reached that this study provides a new method for the perception of urban socio-economic activities.  
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  ISSN 2072-4292 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2870  
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Author Hiscocks, P.D.; Gudmundsson, S. url  openurl
  Title The Contribution of Street Lighting to Light Pollution. Type Journal Article
  Year 2010 Publication Journal of the Royal Astronomical Society of Canada Abbreviated Journal  
  Volume 104 Issue 5 Pages 190  
  Keywords Skyglow  
  Abstract (down) Urban centres create a bubble of light overhead, known as sky glow. Sky glow is a form of wasted energy and light pollution that reduces our view of the night sky, contributes to the destruction of wildlife habitat, and impacts human health. There are many sources that contribute to sky glow: light from residential and business windows, illuminated signs, uplight on buildings and billboard advertizing, and street illumination. An aerial view of a city at night suggests that street lighting is a major contributor to sky glow. In this note we quantify the percentage contribution of street lighting to sky glow, over the city of Reykjavik (Iceland).  
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  Notes Approved no  
  Call Number LoNNe @ kagoburian @ Serial 549  
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Author Liu, Y.; Zhang, X.; Pan, X.; Ma, X.; Tang, M. url  doi
openurl 
  Title The spatial integration and coordinated industrial development of urban agglomerations in the Yangtze River Economic Belt, China Type Journal Article
  Year 2020 Publication Cities Abbreviated Journal Cities  
  Volume 104 Issue Pages 102801  
  Keywords Remote Sensing  
  Abstract (down) Urban agglomeration is the engine of national development and regional prosperity. Although extensive work has investigated issues related to this new form of spatial governance, few studies have directly illustrated the spatial integration of urban agglomeration and its relationship with industrial development. This paper employs nighttime light data and industrial enterprise datasets to investigate the spatial integration and industrial development in the Yangtze River Economic Belt (YREB) of China for 1995–2015. We here illustrate the significant relationship between the spatial integration of urban agglomerations and the characteristics of industrial development. In the process of spatial integration, urban form, intercity relation and their evolution show clear regional differences. Because of the differences in socio-economic and geographical characteristics, urban systems are more advanced and closely related in developed areas. A significant negative (positive) spatial correlation between industrial specialization (diversification) and urban form is supported by using bivariate Moran's I, and spatial clustering patterns are clearly different across the three urban agglomerations. A panel regression reveals that intercity relations are significantly associated with the characteristics of industrial development. Higher levels of industrial diversification and competition are associated with weaker intercity relations, while industrial structures similarities are reversed. These findings could be used to formulate reasonable policies and plans and to support future regional spatial integration and coordinated development.  
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  Series Volume Series Issue Edition  
  ISSN 0264-2751 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2986  
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Author Mann, M.; Melaas, E.; Malik, A. url  doi
openurl 
  Title Using VIIRS Day/Night Band to Measure Electricity Supply Reliability: Preliminary Results from Maharashtra, India Type Journal Article
  Year 2016 Publication Remote Sensing Abbreviated Journal Remote Sensing  
  Volume 8 Issue 9 Pages 711  
  Keywords Remote Sensing; NPP-VIIRS; VIIRS-DNB; India; South Asia  
  Abstract (down) Unreliable electricity supplies are common in developing countries and impose large socio-economic costs, yet precise information on electricity reliability is typically unavailable. This paper presents preliminary results from a machine-learning approach for using satellite imagery of nighttime lights to develop estimates of electricity reliability for western India at a finer spatial scale. We use data from the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar Partnership (SNPP) satellite together with newly-available data from networked household voltage meters. Our results point to the possibilities of this approach as well as areas for refinement. With currently available training data, we find a limited ability to detect individual outages identified by household-level measurements of electricity voltage. This is likely due to the relatively small number of individual outages observed in our preliminary data. However, we find that the approach can estimate electricity reliability rates for individual locations fairly well, with the predicted versus actual regression yielding an R2 > 0.5. We also find that, despite the after midnight overpass time of the SNPP satellite, the reliability estimates derived are representative of daytime reliability.  
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  Series Volume Series Issue Edition  
  ISSN 2072-4292 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ kyba @ Serial 1515  
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