Research Article
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Year 2024, , 346 - 371, 29.06.2024
https://doi.org/10.54287/gujsa.1466745

Abstract

References

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Evaluating the Spatial-Temporal Dynamics of Urbanization in Prefecture Cities of China Using SNPP-VIIRS Nighttime Light Remote Sensing Data

Year 2024, , 346 - 371, 29.06.2024
https://doi.org/10.54287/gujsa.1466745

Abstract

Ensuring the well-being of urban communities hinges on sustainable urban planning strategies informed by current data, particularly in China since urbanization has been one of the most significant demographic shifts in recent decades. Therefore, our research aimed to evaluate the spatio-temporal dynamics of urbanization and sub urbanization across prefecture and provincial levels in China by utilizing consistent SNPP-VIIRS-like and NPP-VIIRS nighttime data spanning the years 2000 to 2020. The k-means method was applied to derive urban and sub urban features from above datasets. The findings uncovered a significant expansion of urban entities at the prefecture level, escalating from 16,209 km2 to 89,631 km2 over the specified period showing a 5% growth. Among five main urban agglomerations, the Yangtze River Delta stands out with the highest urbanization rate, witnessing a remarkable expansion of urban entities from 2,684 km2 to 41,465 km2. This growth reflects an average growth rate of 72.2% per annum. The analysis revealed that the overall area of suburbs expanded from 59,151 km2 to 120,339 km2 between 2012 and 2020 indicating a proportional growth rate ranging from 0.4% to 1.9%. The peak growth rate of suburbs was recorded between 2012 and 2014, reaching 18%. Guizhou, Hunan, and Hubei provinces have exhibited growth rates of 334%, 258%, and 246% respectively while Beijing, Guangdong, Tianjin, and Shanghai have experienced relatively low growth rates of 50%, 56%, 46%, and 17%. The analysis of urban growth with GDP, population, and electricity consumption revealed an inverse relationship during the specified period. Therefore, the findings of this research can provide immense support to sustainable urban planning initiatives at both the provincial and prefecture-level cities in China. The findings can assist city planning authorities in making informed decisions regarding optimizing resource distribution, all while prioritizing the preservation of ecological footprint within urban environments. Also, the limitations addressed in our study must be taken into account in future research works aimed at deriving reliable urban extraction results using nighttime light remote sensing data.

Thanks

The authors express their gratitude to the Earth Observation Group and Oak Ridge National Laboratory for providing freely available SNPP-VIIRS data.

References

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  • Huang, Y., Wu, C., Chen, M., Yang, J., & Ren, H., (2020). A Quantile Approach for Retrieving the “Core Urban-Suburban-Rural” (USR) Structure Based on Nighttime Light. Remote Sensing, 12(24), 4179. https://doi.org/10.3390/rs12244179
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  • Liu, S., Shi, K., & Wu, Y. (2022). Identifying and evaluating suburbs in China from 2012 to 2020 based on SNPP–VIIRS nighttime light remotely sensed data. International Journal of Applied Earth Observation and Geoinformation, 114, 103041. https://doi.org/10.1016/j.jag.2022.103041
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  • Ma, M., Lang, Q., Yang, H., Shi, K., & Ge, W. (2020). Identification of Polycentric Cities in China Based on NPP-VIIRS Nighttime Light Data. Remote Sensing, 12(19), 3248. https://doi.org/10.3390/rs12193248
  • Ma, Q., He, C., Wu, J., Liu, Z., Zhang, Q., & Sun, Z. (2014). Quantifying spatiotemporal patterns of urban impervious surfaces in China: An improved assessment using nighttime light data. Landscape Urban Planning, 130, 36-49. https://doi.org/10.1016/j.landurbplan.2014.06.009
  • Ma, T., Zhou, C., Pei, T., Haynie, S., & Fan, J. (2012). Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China’s cities. Remote Sensing of Environment, 124, 99-107. https://doi.org/10.1016/j.rse.2012.04.018
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  • Thapa, R. B., & Murayama, Y. (2009). Examining Spatiotemporal Urbanization Patterns in Kathmandu Valley, Nepal: Remote Sensing and Spatial Metrics Approaches. Remote Sensing, 1(3), 534-556. https://doi.org/10.3390/rs1030534
  • Tian, Y. (2020). Mapping suburbs based on spatial interactions and effect analysis on ecological landscape change: A case study of Jiangsu province from 1998 to 2018, eastern China. Land, 9(5), 159. https://doi.org/10.3390/land9050159
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There are 52 citations in total.

Details

Primary Language English
Subjects Geoscience Data Visualisation
Journal Section Geoinformatics
Authors

Neel Chaminda Withanage 0000-0002-0326-7814

Shen Jingwei 0000-0003-4318-8405

Early Pub Date June 23, 2024
Publication Date June 29, 2024
Submission Date April 8, 2024
Acceptance Date May 6, 2024
Published in Issue Year 2024

Cite

APA Withanage, N. C., & Jingwei, S. (2024). Evaluating the Spatial-Temporal Dynamics of Urbanization in Prefecture Cities of China Using SNPP-VIIRS Nighttime Light Remote Sensing Data. Gazi University Journal of Science Part A: Engineering and Innovation, 11(2), 346-371. https://doi.org/10.54287/gujsa.1466745