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Author Cabrera-Barona, P.F.; Bayón, M.; Durán, G.; Bonilla, A.; Mejía, V. url  doi
openurl 
  Title Generating and Mapping Amazonian Urban Regions Using a Geospatial Approach Type Journal Article
  Year 2020 Publication ISPRS International Journal of Geo-Information Abbreviated Journal Ijgi  
  Volume 9 Issue 7 Pages 453  
  Keywords Remote Sensing  
  Abstract (1) background: Urban representations of the Amazon are urgently needed in order tobetter understand the complexity of urban processes in this area of the World. So far, limited workthat represents Amazonian urban regions has been carried out. (2) methods: Our study area is theEcuadorian Amazon. We performed a K-means algorithm using six urban indicators: Urban fractaldimension, number of paved streets, urban radiant intensity (luminosity), and distances to theclosest new deforested areas, to oil pollution sources, and to mining pollution sources. We alsocarried out fieldwork to qualitatively validate our geospatial and statistical analyses. (3) results:We generated six Amazonian urban regions representing different urban configurations and processesof major cities, small cities, and emerging urban zones. The Amazonian urban regions generatedrepresent the urban systems of the Ecuadorian Amazon at a general scale, and correspond to theurban realities at a local scale. (4) conclusions: An Amazonian urban region is understood as a set ofurban zones that are dispersed and share common urban characteristics such a similar distance tooil pollution sources or similar urban radiant intensity. Our regionalization model represents thecomplexity of the Amazonian urban systems, and the applied methodology could be transferred toother Amazonian countries.  
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  Series Volume Series Issue Edition  
  ISSN 2220-9964 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial (down) 3115  
Permanent link to this record
 

 
Author Zhao, M.; Zhou, Y.; Li, X.; Cheng, W.; Zhou, C.; Ma, T.; Li, M.; Huang, K. url  doi
openurl 
  Title Mapping urban dynamics (1992–2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS Type Journal Article
  Year 2020 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume 248 Issue Pages 111980  
  Keywords Remote Sensing  
  Abstract The long-term urban dynamics at regional and global scales is essential to understanding the urbanization processes and environmental consequences for providing better scientific insights and effective decision-making. The time series of consistent nighttime light (NTL) data generated by integrating the Defense Meteorological Satellite Program-Operational Linescane System (DMSP-OLS) and the Suomi National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) provide a longer consistent record of the nightscape beyond a single dataset for monitoring urban dynamics. In this study, we developed a new framework based on the spatial variation of NTL gradient (SVNG) to map urban dynamics in Southeast Asia using the consistent NTL data (1992–2018). First, we identified the potential urban clusters in the region using the cluster-based segmentation approach in 2018. Second, we applied the SVNG framework in each potential urban cluster to extract the initial annual urban extent from corresponding time-series NTL images (1992–2018). Finally, we performed a temporal consistency check on the initial urban extent to obtain the final urban sequence in Southeast Asia. The evaluation on the spatiotemporal patterns and consistency of urban dynamics using other urban products indicates that the SVNG framework can effectively capture the urban dynamics in areas with different development levels and patterns. Moreover, we investigated urban dynamics in Southeast Asia at the local, national, and regional scales. This study opens new research avenues for monitoring and understanding the long-term urban dynamics and the pathways of urban growth from local to global scales.  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0034-4257 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial (down) 3114  
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Author Zheng, Z.; Wu, Z.; Chen, Y.; Yang, Z.; Marinello, F. url  doi
openurl 
  Title Exploration of eco-environment and urbanization changes in coastal zones: A case study in China over the past 20 years Type Journal Article
  Year 2020 Publication Ecological Indicators Abbreviated Journal Ecological Indicators  
  Volume 119 Issue Pages 106847  
  Keywords Remote Sensing  
  Abstract With the rapid development of urbanization and population migration, since the 20th century, the natural and eco-environment of coastal areas have been under tremendous pressure due to the strong interference of human response. To objectively evaluate the coastal eco-environment condition and explore the impact from the urbanization process, this paper, by integrating daytime remote sensing and nighttime remote sensing, carried out a quantitative assessment of the coastal zone of China in 2000–2019 based on Remote Sensing Ecological Index (RSEI) and Comprehensive Nighttime Light Index (CNLI) respectively. The results showed that: 1) the overall eco-environmental conditions in China's coastal zone have shown a trend of improvement, but regional differences still exist; 2) during the study period, the urbanization process of cities continued to advance, especially in seaside cities and prefecture-level cities in Jiangsu and Shandong, which were much higher than the average growth rate; 3) the Coupling Coordination Degree (CCD) between the urbanization and eco-environment in coastal cities is constantly increasing, but the main contribution of environmental improvement comes from non-urbanized areas, and the eco-environment pressure in urbanized areas is still not optimistic. As a large-scale, long-term series of eco-environment and urbanization process change analysis, this study can provide theoretical support for mesoscale development planning, eco-environment condition monitoring and environmental protection policies from decision-makers.  
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  Series Volume Series Issue Edition  
  ISSN 1470160X ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial (down) 3113  
Permanent link to this record
 

 
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 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 Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0143-6228 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial (down) 3112  
Permanent link to this record
 

 
Author Arellano, B.; Roca, J. url  doi
openurl 
  Title The Extraction Of Urbanized Areas Through Images Of High Resolution Nighttime Lights Type Journal Article
  Year 2020 Publication ISPRS – International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Abbreviated Journal Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.  
  Volume Xliii-B3-2020 Issue Pages 649-655  
  Keywords Remote Sensing  
  Abstract Satellite nocturnal images of the earth are a useful way to identify urbanisation. Nighttime lights have been used in a variety of scientific contributions, including studies on the identification of metropolitan areas as well as landscapes impacted by urbanization. However, the study of urban systems by nighttime light imagery has had a fundamental limitation to date: the low spatial resolution of satellite sensors. Although the DMSP Operational Linescan System (OLS) has been gathering global low-light imaging data for over 40 years, its 2.7 km/pixel footprint has limited its use for in-depth studies of urban development. The 2011 launch by NASA and the NOAA of the Suomi National Polar Partnership (SNPP) satellite, with the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor on board, has led to a significant improvement. This instrument has better spatial resolution (742 m/pixel), on-board calibration, a greater radiometric range, and fewer saturation and blooming problems than DMSP-OLS data. However, it still has considerable limitations for the in-depth study of the area and internal structure of urban systems.

The launch of Luojia 1-01 in June 2018 has increased expectations. LJ1-01 is a nano satellite that can obtain high-resolution nocturnal images (130 metres/pixel). The aim of this paper is to analyse, and compare with previous satellites, the new instrument’s capacity to delimit the urbanised area and its efficiency in identifying types of urban landscape (compact, dispersed and rurban). The study cases are Barcelona Metropolitan Region (Spain) and Shenzhen City (China).
 
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2194-9034 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial (down) 3106  
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