Next Article in Journal
Sensing the Past: Perspectives on Collaborative Archaeology and Ground Penetrating Radar Techniques from Coastal California
Next Article in Special Issue
Can Nighttime Satellite Imagery Inform Our Understanding of Education Inequality?
Previous Article in Journal
Drone-Based Remote Sensing for Research on Wind Erosion in Drylands: Possible Applications
Article

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

by 1,2,3,†, 1,2,3,†, 1,2,3,*, 1,2,3, 1,2,3 and 1,2,3
1
School of Geographical Sciences, Southwest University, Chongqing 400715, China
2
The State Cultivation Base of Eco-Agriculture for Southwest Mountainous Land, Southwest University, Chongqing 400715, China
3
Institute of Green Low-Carbon Development, Southwest University, Chongqing 400715, China
*
Author to whom correspondence should be addressed.
The authors contributed equally to this work.
Remote Sens. 2021, 13(2), 284; https://doi.org/10.3390/rs13020284
Received: 10 December 2020 / Revised: 10 January 2021 / Accepted: 12 January 2021 / Published: 15 January 2021
(This article belongs to the Special Issue Nighttime Lights as a Proxy for Economic Performance of Regions)
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. View Full-Text
Keywords: population reorganization; population density; spatiotemporal patterns; DMSP-OLS; NPP-VIIRS; Chongqing population reorganization; population density; spatiotemporal patterns; DMSP-OLS; NPP-VIIRS; Chongqing
Show Figures

Graphical abstract

MDPI and ACS Style

Lu, D.; Wang, Y.; Yang, Q.; Su, K.; Zhang, H.; Li, Y. Modeling Spatiotemporal Population Changes by Integrating DMSP-OLS and NPP-VIIRS Nighttime Light Data in Chongqing, China. Remote Sens. 2021, 13, 284. https://doi.org/10.3390/rs13020284

AMA Style

Lu D, Wang Y, Yang Q, Su K, Zhang H, Li Y. Modeling Spatiotemporal Population Changes by Integrating DMSP-OLS and NPP-VIIRS Nighttime Light Data in Chongqing, China. Remote Sensing. 2021; 13(2):284. https://doi.org/10.3390/rs13020284

Chicago/Turabian Style

Lu, Dan, Yahui Wang, Qingyuan Yang, Kangchuan Su, Haozhe Zhang, and Yuanqing Li. 2021. "Modeling Spatiotemporal Population Changes by Integrating DMSP-OLS and NPP-VIIRS Nighttime Light Data in Chongqing, China" Remote Sensing 13, no. 2: 284. https://doi.org/10.3390/rs13020284

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop