Using DMSP/OLS nighttime light data and K–means method to identify urban–rural fringe of megacities

Zhao, Feng; Peng, Jian; Wu, Jiansheng

doi:10.1016/j.habitatint.2020.102227

Cited by 63 publications

(37 citation statements)

References 36 publications

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“…As an objective and real-time RS data to record the light intensity of ground buildings and roads, nighttime light RS images [ 27 , 28 ] have been widely used in the identification and monitoring of social production and life [ 29 – 31 ]. According to the research results of Lu et al (2008), nighttime light data is selected as the evaluation index of the humanity factors of suitability of human settlement environment in Qingdao [ 32 ], denoted as Nighttime Light RS index.…”

Section: Methodsmentioning

confidence: 99%

Evaluation and analysis on suitability of human settlement environment in Qingdao

Zhou

Liu

et al. 2021

PLoS ONE

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Human settlement environment is space places closely related to human production and life, and also surface spaces inseparable from human activities. As a coastal city in the east of China, Qingdao has a relatively high level of urbanization. However, it also along with many urban problems at the same time, among which the problem of human settlement environment has attracted more and more general attention from people. According to the characteristics of human settlement environment in Qingdao, the research constructs an index system with 10 index factors from natural factors and humanity factors, and proposes a comprehensive evaluation model. Evaluate and grade suitability of human settlement environment in Qingdao, explore the spatial aggregation and differentiation of the quality of human settlement environment, and reveal the internal connection of spatial evolution. The results indicate that the overall livability of Qingdao is relatively good, showing a multi-center and radial driving development. The distribution of livability is uneven, showing a decreasing spatial distribution law from the coast to the inland, and the quality of human settlement environment in Jiaozhou Bay and the coastal areas is relatively high. Qingdao is mainly based on natural livability, supplemented by humanity livability, compared with natural suitability, the spatio-temporal evolution characteristics of humanity livability have experienced three stages: rising-contradictory rising-harmonious rising. The quality of human settlement environment has obvious spatial correlation and is positively correlated with the degree of agglomeration, and the agglomeration of blocks with a higher quality of human settlement environment is higher than that of blocks with a lower level. The rule of human settlement environment changing over time is that areas with high quality of human settlement environment begin to shift from the city center to the north and the south, transforming into multi-point development, and overall environmental suitability has been improved. According to the results of the comprehensive evaluation, combined with its local development status and policies, the research puts forward developmental suggestions for the construction of human settlement environment in Qingdao, and provides decision-making basis for relevant departments to solve the problem of deterioration of human settlement environment.

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Section: Methodsmentioning

confidence: 99%

Evaluation and analysis on suitability of human settlement environment in Qingdao

Zhou

Liu

et al. 2021

PLoS ONE

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“…A systematic review by John Gibson et al (2020) finds that more than 150 papers in economics have used night lights data as a proxy for local economic activity. As both VIIRS and DMSP are different in terms of intensity, range, resolution unit, therefore, DMSP data was calibrated and scaled using VIIRS data to make both datasets comparable (Feng et al, 2020). Further, geo-spatial layers from Google Earth with attributes marking the location of metro rail stations, schools and hospitals were used as variables for infrastructure.…”

Section: Data Sourcesmentioning

confidence: 99%

Spatio-temporal Assessment of Landscape Ecological Risk and Associated Drivers: A Case Study of Delhi

Mondal

Sharma

Kundu

et al. 2021

Environment and Urbanization ASIA

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Urbanization is considered as the key driver for land use and land cover (LULC) changes across the globe and Delhi is no exception to this phenomenon. The population of Delhi has almost doubled from 8.4 million in 1991 to 16.3 million in 2011. Correspondingly, the built-up area has also increased from 336.82 to 598.22 km 2 during 1999–2018. This urban expansion has led to emergence of serious ecological risk and fragmentation of the landscape. In this context, it is imperative to analyse the level of risks induced by such urban expansion and its underlying associations with other factors. This article quantifies the LULC changes in Delhi during 1999–2018 using Landsat 5 (TM) and Landsat 8 (OLI) data. A spatio-temporal sprawl induced risk assessment index has been developed by combining landscape fragmentation score and land use land cover vulnerability score. The landscape fragmentation score was based on four landscape metrics, whereas the vulnerability score was computed from LULC data. The article also assesses the association between risk areas and economic activities, environmental and infrastructural amenities that are considered key drivers of urban expansion in Delhi. To estimate spatio-temporal variability between risk areas and key drivers, ordinary least square regression and geographical weighted regression (GWR) were used. The GWR results reveal that sprawl-induced ecological risk in Delhi is strongly associated with economic activity, infrastructural accessibility and environmental amenities. This spatial empirical assessment also shows that urban growth incentives or services such as roads, metro rail, schools and hospitals can also create pressure on the landscape if local authorities arbitrarily provide these services across space without considering the associated risks.

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“…According to Feng et al (2020), based on night lights and K-means algorithm, Beijing is divided into three parts:…”

Section: Urban Space Recognition Based On Night Lightsmentioning

confidence: 99%

“…According to Feng et al (2020), based on night lights and K-means algorithm, Beijing is divided into three parts: urban zone, urban fringe zone and rural zone. In order to describe the changes of Beijing's urban space divisions from 2000 to 2015, the dynamic changes of the geographic types are summarized into three types, namely the urban infilled area (UIA), the urban expansion area (UEA) and rural area (RA).…”

Section: Urban Space Recognition Based On Night Lightsmentioning

confidence: 99%

What’s the relationship between urbanization and ecosystem services from urban to rural area

Wu¹,

He²,

Zhao³

2021

Preprint

Self Cite

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Ecosystem services (ESs) are closely bound up with human welfare. To propose regional exploitive tactics for the harmonious relationship between urbanization and ecological environment, it is essential to sort out the relationship between urbanization and ESs, and to untangle the urban-rural differences of the ecological environment effects. Regarding Beijing as an example, this study firstly explored the spatiotemporal characteristics of the ESs and the urbanization. Secondly, this study applied the latest methods based on nighttime light and K-means algorithm to identify the urban area, urban-rural fringe and rural area in Beijing. Then we explored the spatiotemporal interaction characteristics of urbanization on ESs through decoupling analysis. Finally, the correlation analysis and curve fitting were used to quantify the correlation between urbanization and ESs in urban scale and regional scale. The main conclusions included: (1) ESs declined with the increase of urbanization; (2) In cities or regions, coordinated development was the main trend of ESs and urbanization; (3) The relationship between changes in ESs and changes in urbanization has regional differences.

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Using DMSP/OLS nighttime light data and K–means method to identify urban–rural fringe of megacities

Cited by 63 publications

References 36 publications

Evaluation and analysis on suitability of human settlement environment in Qingdao

Evaluation and analysis on suitability of human settlement environment in Qingdao

Spatio-temporal Assessment of Landscape Ecological Risk and Associated Drivers: A Case Study of Delhi

What’s the relationship between urbanization and ecosystem services from urban to rural area

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