A time series of urban extent in China using DSMP/OLS nighttime light data

Yao, Yao; Chen, Dongsheng; Chen, Le; Wang, Huan; Guan, Qingfeng

doi:10.1371/journal.pone.0198189

Cited by 15 publications

(14 citation statements)

References 53 publications

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“…Night-time lighting images can describe the spatial distribution of urban economy and population, the main methods include statistical analysis method, clustering anal-ysis method, spatial constraint method, extraction results have the advantage of high integrity [18][19][20]. However, there is a light spillover effect in the night-time light images, which makes the extraction results have a high false detection rate.…”

Section: Night-time Lighting Datamentioning

confidence: 99%

Integration Development of Urban Agglomeration in Central Liaoning, China, by Trajectory Gravity Model

Xie

2021

IJGI

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Integration development of urban agglomeration is important for regional economic research and management. In this paper, a method was proposed to study the integration development of urban agglomeration by trajectory gravity model. It can analyze the gravitational strength of the core city to other cities and characterize the spatial trajectory of its gravitational direction, expansion, etc. quantitatively. The main idea is to do the fitting analysis between the urban axes and the gravitational lines. The correlation coefficients retrieved from the fitting analysis can reflect the correlation of two indices. For the different cities in the same year, a higher value means a stronger relationship. There is a clear gravitational force between the cities when the value above 0.75. For the most cities in different years, the gravitational force between the core city with itself is increasing by years. At the same time, the direction of growth of the urban axes tends to increase in the direction of the gravitational force between cities. There is a clear tendency for the trajectories of the cities to move closer together. The proposed model was applied to the integration development of China Liaoning central urban agglomeration from 2008 to 2016. The results show that cities are constantly attracted to each other through urban gravity.

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Section: Night-time Lighting Datamentioning

confidence: 99%

Integration Development of Urban Agglomeration in Central Liaoning, China, by Trajectory Gravity Model

Xie

2021

IJGI

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“…Several studies used data from arbitrarily delineated areas obtained by the government, land surveying, or land use classification from remote sensing to represent urban land areas for calculating land urbanization [43]. However, this approach may induce bias or limitation because urbanized land is neither defined by the government nor confined to its superficial or spectral attributes.…”

Section: Calculation Of Land Urbanization Ratementioning

confidence: 99%

Sustainable Land Urbanization and Ecological Carrying Capacity: A Spatially Explicit Perspective

et al. 2018

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Rapid urbanization has become a common occurrence all over the world, particularly in developing countries, and has thus resulted in various eco-environmental problems. In China, urban land has expanded at an unprecedented rate in the past several decades, and sustainable land urbanization has become an important issue in promoting sustainable development. Hence, scholars have proposed ecological carrying capacity (ECC) as a solution to balance socio-economic development and the ecosystems for achieving sustainable development. In the current work, we explored the spatial influence of ECC on land urbanization and its driving mechanism, using the Wuhan agglomeration as a case study. In the first step, we calculated the ECC at the county level using the ecological footprint method. Then, we applied a combination of kernel density and the “densi-graph method” on the basis of points of interest, in order to identify urbanized areas and to measure land urbanization rates. Finally, we devised spatial models with ECC-based spatial weight matrices to examine the potential spatial interactions or constraints and the influencing factors. Results indicate the following. (1) Land urbanization rates in most counties increased, whereas the average ECC per capita in the Wuhan urban agglomeration decreased from 2010 to 2015; (2) China’s land urbanization is primarily driven by socio-economic development, in which fixed asset investments and urban income present positive influences and agricultural outputs show a negative influence; (3) Spatial interaction was formulated through ECC during the land urbanization process. However, this effect was attenuated in 2010–2015. The findings are beneficial for understanding the regional spatial influence of ECC on urban land urbanization. They should also facilitate the formulation of relevant policies for protecting, restoring, and promoting the sustainable use of terrestrial ecosystems to ultimately achieve coordinated and balanced regional development.

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“…The application of corrected DMSP/OLS nighttime data with stable lights has been welldocumented . Publicly accessible corrected DMSP/OLS nighttime data are also available [38,39]. We found that the corrected DMSP/OLS data adopted in the existing literature is too coarse to capture the features of developed land and associated nighttime brightness indices.…”

Section: Uncertainty In Enhanced Dmsp/ols Due To Data Sources and Metmentioning

confidence: 99%

Analyzing the Relationship between Developed Land Area and Nighttime Light Emissions of 36 Chinese Cities

Li²,

Yang

et al. 2018

Remote Sensing

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The satellite-observed nighttime light emission (NTLE) data provide a new method for scrutinizing the footprint of human settlements. Changing NTLEs can be attributed to the direct/ indirect influences of highly complex factors that are beyond the ability of simple statistical models to distinguish. Besides, the relatively coarse resolution of the NTLE products combined with light from human settlements may produce misleading results, as the relationship between spatiotemporal heterogeneity in the growth of developed land (e.g., urban and rural residences, shopping centers, industrial parks, mining plants, and transportation facilities) and the associated NTLEs has not been adequately analyzed. In this study, we developed a total nighttime brightness index (TotalNTBI) to measure the NTLEs with the defense meteorological satellite program/operational linescan system (DMSP/OLS) nighttime light data enhanced by sharpening the edges of the pixels. Thirty-six key cities in China were selected to investigate the relationship between the total developed land area and the associated TotalNTBI from 2000 to 2013 using panel regression and a simplified structural equation model (SEM). The results show that the overall trend in TotalNTBI agreed well with that of the total developed land area (mean adjusted R 2 = 0.799). The panel regression models explained approximately 71.8% of the variance of total developed land area and 92.4% of the variance in TotalNTBI. The SEM revealed both the direct and indirect influences of independent variables on the total developed land area and the associated TotalNTBI. This study may provide useful information for decision-makers and researchers engaged in sustainable land development, urban management, and regional developmental inequality, focusing on recent issues, such as retrospective analysis of human footprint with sharpened nighttime NTLE products, the loss of natural and semi-natural land due to the sprawling developed land area indicated by intensively lit area, and the low efficiency of land development indicated by the anomalies of developed land area and associated NTBIs. global change, as the role of humans will affect the earth's future [2,3] and eventually determine the fate of human society.Compared with the conventional census approach with its shortcomings of data scarcity, bias, and uncertainty, the remote sensing of nighttime light emissions (NTLEs) provides a new view method for scrutinizing the footprint of human activities. Nighttime light emissions signals captured by on-board sensors, such as those onboard the defense meteorological satellite program/operational linescan system (DMSP/OLS) in 1992-2013 and the Visible Infrared Imaging Radiometer Suite (VIIRS) since 2012, have accumulated 26 years of nighttime light data. Together with survey and census data, archived nighttime light data effectively reflects the trajectory of human settlements associated with socioeconomic evolution, with a focus on population estimation [4,5], monitoring urban expansion and peri-urb...

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A time series of urban extent in China using DSMP/OLS nighttime light data

Cited by 15 publications

References 53 publications

Integration Development of Urban Agglomeration in Central Liaoning, China, by Trajectory Gravity Model

Integration Development of Urban Agglomeration in Central Liaoning, China, by Trajectory Gravity Model

Sustainable Land Urbanization and Ecological Carrying Capacity: A Spatially Explicit Perspective

Analyzing the Relationship between Developed Land Area and Nighttime Light Emissions of 36 Chinese Cities

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