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Author Liu, L.; Zhou, H.; Lan, M.; Wang, Z. url  doi
openurl 
  Title Linking Luojia 1-01 nightlight imagery to urban crime Type Journal Article
  Year 2020 Publication Applied Geography Abbreviated Journal Applied Geography  
  Volume 125 Issue Pages 102267  
  Keywords (up) Public Safety; Remote Sensing  
  Abstract Various environmental criminology theories and empirical studies have linked the urban environment to crime. The crime pattern theory, in particular, argues that edges, either social or physical, affect crime. A recent study has combined both social and physical edges to derive composite edges. A composite edge index measured by NPP-VIIRS satellite nightlights at the census tract level is found to be related to street robbery and burglary. Nightlight images of Luojia 1-01, launched in June 2018, have a much higher spatial resolution than that of NPP-VIIRS. This study applies Luojia 1-01 nightlight data to measure composite edges by nightlight gradients at the smaller census block group level. The effects of the composite edges on street robbery and burglary are explored by negative binomial models. Results show that composite edges measured by Luojia 1-01 nightlight data improve the fitness of models noticeably on street robbery but not on burglary. Nightlight gradients make a statistically significant and positive impact on the street robbery rate, but an insignificant and negative impact on the burglary rate. Furthermore, the composite edge effect on street robbery is more substantial than that on burglary. In sum, this study provides evidence that Luojia 1-01 nightlight imagery can help explain crime at the aggregated block group level, but its impact on crime varies by crime type.  
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  Series Volume Series Issue Edition  
  ISSN 0143-6228 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 3112  
Permanent link to this record
 

 
Author Levin, N.; Kark, S.; Crandall, D. url  doi
openurl 
  Title Where have all the people gone? Enhancing global conservation using night lights and social media Type Journal Article
  Year 2015 Publication Ecological Applications Abbreviated Journal Ecological Applications  
  Volume 25 Issue 8 Pages 2153–2167  
  Keywords (up) Remote Sensing  
  Abstract  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1051-0761 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ christopher.kyba @ Serial 1150  
Permanent link to this record
 

 
Author Hu, C.; Chen, S.; Wang, M.; Murch, B.; Taylor, J. url  doi
openurl 
  Title Detecting surface oil slicks using VIIRS nighttime imagery under moon glint: a case study in the Gulf of Mexico Type Journal Article
  Year 2015 Publication Remote Sensing Letters Abbreviated Journal Remote Sensing Letters  
  Volume 6 Issue 4 Pages 295-301  
  Keywords (up) Remote Sensing  
  Abstract  
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  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 2150-704X ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ christopher.kyba @ Serial 1151  
Permanent link to this record
 

 
Author Ren, Z.; Liu, Y.; Chen, B.; Xu, B. url  doi
openurl 
  Title Where Does Nighttime Light Come From? Insights from Source Detection and Error Attribution Type Journal Article
  Year 2020 Publication Remote Sensing Abbreviated Journal Remote Sensing  
  Volume 12 Issue 12 Pages 1922  
  Keywords (up) Remote Sensing  
  Abstract Nighttime light remote sensing has aroused great popularity because of its advantage in estimating socioeconomic indicators and quantifying human activities in response to the changing world. Despite many advances that have been made in method development and implementation of nighttime light remote sensing over the past decades, limited studies have dived into answering the question: Where does nighttime light come from? This hinders our capability of identifying specific sources of nighttime light in urbanized regions. Addressing this shortcoming, here we proposed a parcel-oriented temporal linear unmixing method (POTLUM) to identify specific nighttime light sources with the integration of land use data. Ratio of root mean square error was used as the measure to assess the unmixing accuracy, and parcel purity index and source sufficiency index were proposed to attribute unmixing errors. Using the Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime light dataset from the Suomi National Polar-Orbiting Partnership (NPP) satellite and the newly released Essential Urban Land Use Categories in China (EULUC-China) product, we applied the proposed method and conducted experiments in two China cities with different sizes, Shanghai and Quzhou. Results of the POTLUM showed its relatively robust applicability of detecting specific nighttime light sources, achieving an rRMSE of 3.38% and 1.04% in Shanghai and Quzhou, respectively. The major unmixing errors resulted from using impure land parcels as endmembers (i.e., parcel purity index for Shanghai and Quzhou: 54.48%, 64.09%, respectively), but it also showed that predefined light sources are sufficient (i.e., source sufficiency index for Shanghai and Quzhou: 96.53%, 99.55%, respectively). The method presented in this study makes it possible to identify specific sources of nighttime light and is expected to enrich the estimation of structural socioeconomic indicators, as well as better support various applications in urban planning and management.  
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  Series Volume Series Issue Edition  
  ISSN 2072-4292 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 3032  
Permanent link to this record
 

 
Author Huang, Q.; He, C.; Gao, B.; Yang, Y.; Liu, Z.; Zhao, Y.; Dou, Y. url  doi
openurl 
  Title Detecting the 20 year city-size dynamics in China with a rank clock approach and DMSP/OLS nighttime data Type Journal Article
  Year 2015 Publication Landscape and Urban Planning Abbreviated Journal Landscape and Urban Planning  
  Volume 137 Issue Pages 138-148  
  Keywords (up) remote sensing  
  Abstract  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0169-2046 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ christopher.kyba @ Serial 1104  
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