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Author Ma, T.; Zhou, C.; Pei, T.; Haynie, S.; Fan, J. url  doi
openurl 
  Title Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China's cities Type Journal Article
  Year 2012 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume 124 Issue Pages 99-107  
  Keywords Urbanization; DMSP-OLS; Nighttime light; Statistical analysis; China; remote sensing; satellite; light at night  
  Abstract (down) Urbanization process involving increased population size, spatially extended land cover and intensified economic activity plays a substantial role in anthropogenic environment changes. Remotely sensed nighttime lights datasets derived from the Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) provide a consistent measure for characterizing trends in urban sprawl over time (Sutton, 2003). The utility of DMSP/OLS imagery for monitoring dynamics in human settlement and economic activity at regional to global scales has been widely verified in previous studies through statistical correlations between nighttime light brightness and demographic and economic variables ( and ). The quantitative relationship between long-term nighttime light signals and urbanization variables, required for extensive application of DMSP/OLS data for estimating and projecting the trajectory of urban development, however, are not well addressed for individual cities at a local scale. We here present analysis results concerning quantitative responses of stable nighttime lights derived from time series of DMSP/OLS imagery to changes in urbanization variables during 1994–2009 for more than 200 prefectural-level cities and municipalities in China. To identify the best-fitting model for nighttime lights-based measurement of urbanization processes with different development patterns, we comparatively use three regression models: linear, power-law and exponential functions to quantify the long-term relationships between nighttime weighted light area and four urbanization variables: population, gross domestic product (GDP), built-up area and electric power consumption. Our results suggest that nighttime light brightness could be an explanatory indicator for estimating urbanization dynamics at the city level. Various quantitative relationships between urban nighttime lights and urbanization variables may indicate diverse responses of DMSP/OLS nighttime light signals to anthropogenic dynamics in urbanization process in terms of demographic and economic variables. At the city level, growth in weighted lit area may take either a linear, concave (exponential) or convex (power law) form responsive to expanding human population and economic activities during urbanization. Therefore, in practice, quantitative models for using DMSP/OLS data to estimate urbanization dynamics should vary with different patterns of urban development, particularly for cities experiencing rapid urban growth at a local scale.  
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  ISSN 0034-4257 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ john @ Serial 219  
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Author Zheng, Q.; Deng, J.; Jiang, R.; Wang, K.; Xue, X.; Lin, Y.; Huang, Z.; Shen, Z.; Li, J.; Shahtahmassebi, A.R. url  doi
openurl 
  Title Monitoring and assessing “ghost cities” in Northeast China from the view of nighttime light remote sensing data Type Journal Article
  Year 2017 Publication Habitat International Abbreviated Journal Habitat International  
  Volume 70 Issue Pages 34-42  
  Keywords Remote Sensing  
  Abstract (down) Urbanization has proceeded at an unprecedented speed in China during the last 20 years, resulting in extensive natural landscapes being transformed into impervious surface. The “ghost city” phenomenon has emerged due to the unreasonable urban expansion which far exceeds the actual demand of human habitat. Previously, few research studies have provided objective and sufficient knowledge with regard to identify “ghost cities” and their spatial distribution. In this paper, we proposed an effective and feasible framework to monitor and evaluate “ghost cities” utilizing nighttime light imagery obtained from day-night band (DNB) of Visible Infrared Imaging Radiometer Suite (VIIRS). We established a “ghost city” index (GCI) to quantify the intensity of the phenomenon in the northeast of China, and analyzed the spatial pattern of “ghost cities” for different GCI classes. Our results indicate that the intensity of “ghost city” phenomenon decrease from regions adjacent to the border to interior areas, whilst regions with extremely high GCI are mostly districts and county cities. Tests of typical regions show that non-lit built-up area for high GCI regions is spatially clustered and low population regions have a high tendency to suffer from the “ghost city” phenomenon. Therefore, our findings provide a spatial-explicit insight into the “ghost city” phenomenon, and consequently can be beneficial to assist sustainable urban planning.  
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  ISSN 0197-3975 ISBN Medium  
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  Notes Approved no  
  Call Number LoNNe @ kyba @ Serial 1773  
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Author Zhang, A., Li, W., Wu, J., Lin, J., Chu, J., & Xia, C. url  doi
openurl 
  Title How can the urban landscape affect urban vitality at the street block level? A case study of 15 metropolises in China Type Journal Article
  Year 2020 Publication Environment and Planning B: Urban Analytics and City Science Abbreviated Journal  
  Volume Issue Pages  
  Keywords Remote Sensing  
  Abstract (down) Urban vitality, as a metric, measures the attractiveness and competitiveness of a city and is a driver of development. As the physical and social space of human activities, the urban landscape has close connections with urban vitality according to classical theories. However, limited quantitative criteria for the urban landscape and gaps between macro urban planning and micro design create difficulties when constructing a vibrant city. In this study, we quantitatively examined the relationship between the urban landscape and urban vitality at the street block level using geospatial open data to discover where, how, and to what extent we could improve urban vitality, taking 15 Chinese metropolises as a case study. Results indicate that, among the three aspects of the urban landscape considered, the city plan pattern has the highest effect on stimulating vitality, followed by the land use and the patterns of building form. Specifically, the three-dimensional form of buildings has a greater effect than a two-dimensional form. In addition, convenient transportation, a compact block form, diverse buildings, mixed land use, and high buildings are the main characteristics of vibrant blocks. The results also show that the effects of the urban landscape have spatial variations and obvious diurnal discrepancies. Furthermore, over 20 and 33% of the blocks in these cities are identified as low-vitality blocks during the day and night, respectively, and are then categorized into six different types. The identification of the common characteristics of these low-vitality blocks can be taken as references for designing a vibrant urbanity.  
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  Call Number IDA @ intern @ Serial 2946  
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Author Xia, C.; Yeh, A.G.-O.; Zhang, A. url  doi
openurl 
  Title Analyzing spatial relationships between urban land use intensity and urban vitality at street block level: A case study of five Chinese megacities Type Journal Article
  Year 2020 Publication Landscape and Urban Planning Abbreviated Journal Landscape and Urban Planning  
  Volume 193 Issue Pages 103669  
  Keywords Remote Sensing  
  Abstract (down) Urban sprawl in urbanizing China has resulted in a series of ecological and environmental problems. Urban planners have been committed to promoting compact development through high-density and mixed land use. However, a problem brought by such compact urban form is the mismatch between physical spaces and socio-economic activities. To date, minimal research has been conducted using spatial statistics to study this issue at the local scales. Moreover, urban night-time vitality has been consistently ignored in existing studies. In the current work, urban land use intensity was analyzed on the basis of street block density and typology, and urban daytime and night-time vitality were measured using small catering business and night-time light data, respectively. The spatial relationships between urban land use intensity and urban vitality were investigated using a local indicator of spatial association (LISA), and five megacities in China were taken as a case study to examine whether variations exist between different cities. Results showed a significant positive spatial autocorrelation between urban land use intensity and urban vitality according to global statistics. Therefore, socio-economic activities are more likely to be abundant in densely developed urban areas. However, local spatial mismatches were found in the five megacities, indicating overcrowded or underutilized urban spaces in all the cities. These relationships were associated with different urban areas (urbanized before 1995 and during 1995–2015), land use conditions (function and mixture) and time periods (day and night). The results of this work will provide a comprehensive understanding of compact city and sustainability.  
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  Series Volume Series Issue Edition  
  ISSN 0169-2046 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2697  
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Author Welch, R. url  doi
openurl 
  Title Monitoring urban population and energy utilization patterns from satellite Data Type Journal Article
  Year 1980 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume 9 Issue 1 Pages 1-9  
  Keywords Remote Sensing  
  Abstract (down) Urban population trends in China and energy utilization patterns in the United States have been assessed from LANDSAT and Defense Meteorological Satellite Program (DMSP) images. Regression models developed from population (P) data and urban area (A) measurements on LANDSAT images are of the form P = αAb and provide insights into the success of Chinese urban planning policies for cities with populations of 500,000 to 2,000,000 people. Studies of the relationships between population, urban area, and electric-energy utilization patterns have been conducted from DMSP images of the United States. Microdensitometer profiles of illuminated cities recorded on nighttime (visual band) images are used in combination with the map boundaries of the built-up areas to create unique three-dimensional representations of the urban centers. The volumes of these three-dimensional figures may be computed and plotted with respect to population and/or energy utilization data to model regional patterns of use. Improvements in the quality of sensor data should increase the potential for monitoring urban energy demands and populations.  
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  Series Volume Series Issue Edition  
  ISSN 0034-4257 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2382  
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