4.7 Article

Modeling Spatiotemporal Population Changes by Integrating DMSP-OLS and NPP-VIIRS Nighttime Light Data in Chongqing, China

Journal

REMOTE SENSING
Volume 13, Issue 2, Pages -

Publisher

MDPI
DOI: 10.3390/rs13020284

Keywords

population reorganization; population density; spatiotemporal patterns; DMSP-OLS; NPP-VIIRS; Chongqing

Funding

  1. National Natural Science Foundation of China [42071234, 41901232]
  2. Chongqing Social Science Planning Project [2019PY49]
  3. Youth Fund for Humanities and Social Sciences Research of the Ministry of Education [19XJCZH006]
  4. Fundamental Research Funds for the Central Universities [XDJK2020C014]

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The study examines the impact of non-farm wage growth on population migration in China's mountainous areas, focusing on the spatiotemporal evolution of population in Chongqing municipality from 2000-2018. The results show that population in Chongqing has shifted towards the west and low-altitude areas, with population density increasing in central urban areas and decreasing in non-urban areas such as northeast Chongqing.
The sustained growth of non-farm wages has led to large-scale migration of rural population to cities in China, especially in mountainous areas. It is of great significance to study the spatial and temporal pattern of population migration mentioned above for guiding population spatial optimization and the effective supply of public services in the mountainous areas. Here, we determined the spatiotemporal evolution of population in the Chongqing municipality of China from 2000-2018 by employing multi-period spatial distribution data, including nighttime light (NTL) data from the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) and the Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS). There was a power function relationship between the two datasets at the pixel scale, with a mean relative error of NTL integration of 8.19%, 4.78% less than achieved by a previous study at the provincial scale. The spatial simulations of population distribution achieved a mean relative error of 26.98%, improved the simulation accuracy for mountainous population by nearly 20% and confirmed the feasibility of this method in Chongqing. During the study period, the spatial distribution of Chongqing's population has increased in the west and decreased in the east, while also increased in low-altitude areas and decreased in medium-high altitude areas. Population agglomeration was common in all of districts and counties and the population density of central urban areas and its surrounding areas significantly increased, while that of non-urban areas such as northeast Chongqing significantly decreased.

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