Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China's cities

Ma, Ting; Zhou, Chenghu; Pei, Tao; Haynie, Susan; Fan, Jiangwen

doi:10.1016/j.rse.2012.04.018

Cited by 431 publications

(279 citation statements)

References 34 publications

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“…In addition, the total NSL of the built-up urban areas of eight cities was significantly consistent with the statistical population data (R 2 = 0.62; p < 0.001). It indirectly confirmed the effectiveness of our proposed NSA method (Zhang and Seto 2011;Ma et al 2012;Pandey, Joshi, and Setob 2013). The proposed NSA method, which significantly overcomes the disadvantages that are associated with the threshold-based methods, accurately maps both the large patches of built-up areas in urban regions and the small patches of built-up areas in surrounding towns.…”

Section: Resultssupporting

confidence: 70%

“…Therefore, it is not feasible to use the statistical built-up urban areas for evaluating the remotely sensed results. Previous studies have demonstrated that statistical population data are highly correlated with builtup urban areas and can be effective in evaluating the mapping accuracies of remotely sensed built-up urban areas (Zhang and Seto 2011;Ma et al 2012;Pandey, Joshi, and Setob 2013). In this article, the statistical population data of eight cities in 1996, 2000, 2005, and 2009 are used to indirectly assess the accuracies of our proposed method.…”

Section: Comparison With the Statistical Population Datamentioning

confidence: 99%

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A new method for extracting built-up urban areas using DMSP-OLS nighttime stable lights: a case study in the Pearl River Delta, southern China

Chen

Wang

et al. 2015

GIScience & Remote Sensing

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The nighttime stable light (NSL) images on board the Operational Line-scan System (OLS) of the Defense Meteorological Satellite Program (DMSP) are useful for extracting large-scale built-up urban areas. However, most NSL-based studies are presently empirical threshold-based approaches. They always overestimate the areas of built-up land in urban regions because of the 'blooming' effect of NSL; and overlook small patches in developing towns where the NSL is much lower. In this study, a neighborhood statistics analysis (NSA) method is developed on the basis of the relative spatial variations between neighboring built-up and non-built-up pixels in DMSP-OLS images. It is applied to extract the built-up areas of eight cities in the Pearl River Delta in 1996Delta in , 2000Delta in , 2005Delta in , and 2009. The validations indicate that the total areas of the NSA-mapped results are highly correlated with those from Landsat TM/ETM+ data (R 2 = 0.94; p < 0.001). The comparison results, which are evaluated by landscape indices (the landscape shape index (LSI), the contiguity index (CONTIG), and the perimeter area ratio (PARA)), also show good correlations (R 2 > 0.46; p < 0.001). In addition, the total NSL of the built-up urban areas is significantly correlated with the statistical population data (R 2 = 0.62; p < 0.001), which indirectly confirms the effectiveness of our proposed method.Keywords: DMSP-OLS nighttime stable light (NSL); built-up urban area; urban expansion; remote sensing IntroductionThirty years of rapid urbanization in China have resulted in a 3.37-fold increase in builtup areas (Fang 2009;Lu et al. 2008 Lu et al. , 2012. Large amounts of natural lands in cities are being replaced by artificial surfaces, which cause numerous environmental and ecological problems (Milesi et al. 2003;Imhoff et al. 2004;Su et al. 2010;Chen et al. 2012). Therefore, accurately monitoring the regional expansion of built-up areas in China is essential (He et al. 2006;Liu et al. 2012 (Cao et al. 2009;Liu et al. 2012;Bhatti and Tripathia 2014), are commonly used. However, because of the limited geographic coverage of medium-and high-resolution images, these methods require a large number of scenes to cover the regional and national scales (Liu et al. 2003(Liu et al. , 2005(Liu et al. , 2010Zhang, He, and Liu 2014).Nighttime stable light (NSL) images on board the Operational Line-scan System (OLS) of the Defense Meteorological Satellite Program (DMSP), which uses a low-light detecting sensor to detect city night lights (Elvidge et al. 1997(Elvidge et al. , 1999, were first demonstrated to be capable of mapping built-up urban areas by Croft (1978) and Kramer (1994). Subsequent studies demonstrated the superiority of DMSP-OLS NSL in extracting the built-up urban areas at global (Elvidge et al. 1997(Elvidge et al. , 1999(Elvidge et al. , 2007 (Imhoff et al. 1997a(Imhoff et al. , 1997bSmall, Pozzi, and Elvidge 2005;Lu et al. 2008;Cao et al. 2009;Shi et al. 2014;Wei et al. 2014). However, most NSL-based studies presently use empir...

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Section: Resultssupporting

confidence: 70%

Section: Comparison With the Statistical Population Datamentioning

confidence: 99%

A new method for extracting built-up urban areas using DMSP-OLS nighttime stable lights: a case study in the Pearl River Delta, southern China

Chen

Wang

et al. 2015

GIScience & Remote Sensing

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“…See also Henderson et al (2012) and Chen and Nordhaus (2011) and the literature cited there on the use of light to measure economic activity. Ma et al (2012) and Hälg (2012) discuss the use of light data for Chinese cities. See also the Online Appendix for further details on the data source.…”

Section: Satellite Light As An Alternative Measure Of Gdpmentioning

confidence: 99%

Economic Reforms and Industrial Policy in a Panel of Chinese Cities

2013

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We study the effect of place-based industrial policy on economic development, focusing on the establishment of Special Economic Zones (SEZ) in China. We use data from a panel of Chinese (prefecture-level) cities from 1988 to 2010. Our difference-in-difference estimation exploits the variation in the establishment of SEZ across time and space. We find that the establishment of a state-level SEZ is associated with an increase in the level of GDP of about 20 %. This finding is confirmed with alternative specifications and in a sub-sample of inland provinces, where the selection of cities to host the zones was based on administrative criteria. The main channel is a positive effect on physical capital accumulation, although SEZ also have a positive effect on total factor productivity and human capital investments. We also investigate whether there are spillover effects of SEZ on neighboring regions or cities further away. We find positive and often significant spillover effects. AbstractWe study the e¤ect of place-based industrial policy on economic development, focusing on the establishment of Special Economic Zones (SEZ) in China. We use data from a panel of Chinese (prefecture-level) cities from 1988 to 2010. Our di¤erence-in-di¤erence estimation exploits the variation in the establishment of SEZ across time and space. We …nd that the establishment of a state-level SEZ is associated with an increase in the level of GDP of about 20%. This …nding is con…rmed with alternative speci…cations and in a sub-sample of inland provinces, where the selection of cities to host the zones was based on administrative criteria. The main channel is a positive e¤ect on physical capital accumulation, although SEZ also have a positive e¤ect on total factor productivity and human capital investments. We also investigate whether there are spillover e¤ects of SEZ on neighboring regions or cities further away. We …nd positive and often signi…cant spillover e¤ects.JEL Codes. H72, L52, O25, O38, O53, P21, R11.

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“…In the last several decades, with the rapid growth of China's economy and continuous investments of infrastructure constructions, China's cities have been experiencing an intense developing process with remarkable urban built-up area expansions, energy consumptions and population migrations (Ma et al 2012b). Shandong is a coastal province of China, and is a part of the East China region.…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, it is necessary to evaluate the spatial and temporal patterns of cities in Shandong province to support policy making in environmental management and urban planning, in response to the remarkably rapid urbanization processes occurring in this region. Remotely sensed nighttime light time series dataset derived from the Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) provides a straightforward way to analyze the relationship between urbanization and anthropogenic activities and has been extensively used in urban studies (Ma et al 2012b;Fan et al 2014). The DMSP/OLS sensor could detect low-level visible and near-infrared bands radiance signals at night and the composed stable nighttime light imageries have been widely used for urban development mapping Small et al 2005;Zhang et al 2011;Zhou et al 2014, Xu et al 2014, city built-up area expansion trends exploring (Sutton 2003;Ma et al 2016) and socioeconomic activities detecting (Doll et al 2006;Elvidge et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Urban Landscape Spatial Pattern Estimation of Cities in Shandong Province Using Nighttime Luminosity Data

Fan

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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China’s cities have been undergoing rapid and intense urbanization processes in the past few decades. Shandong is a coastal province which is located in East China with big economy and population scales, and which also plays an important role in the rapid process of China’s modernization. The DMSP/OLS dataset has been widely used for the urban development assessments in long time-series and large spatial scales situations. In this paper, we used a time series of nighttime light data to estimate the landscape spatial pattern changes of cities in Shandong province from 1994 to 2012. Nine landscape metrics were calculated and analyzed to figure out the spatial patterns of urban area developments of the cities in Shandong province. The landscape metrics include the number of patches (NP), the landscape total area (TA), the aggregation index (AI), the largest patch index (LPI), the mean patch area (AREA_MN), the landscape shape index (LSI), the total edge length (TE), the edge density (ED), and the mean radius of gyration (GYRATE_MN). The experimental results reveal that, in 1994&ndash;2012, the total urban area of cities in Shandong province expanded for 1.17 times, the average urban area increased by about 93.00%, the average annual growth rate of the TE metric is 2.67&thinsp;%, while the ED metric decreased about 1.44&thinsp;% annually. Bigger cities in this area show relative slower urbanization development processes, such as Jinan and Qingdao. Coastal cities represented much more rapid expansion velocities than inland cities. In the middle area of Shandong province, the connectivity between developed urban areas was constantly increased.

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Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China's cities

Cited by 431 publications

References 34 publications

A new method for extracting built-up urban areas using DMSP-OLS nighttime stable lights: a case study in the Pearl River Delta, southern China

A new method for extracting built-up urban areas using DMSP-OLS nighttime stable lights: a case study in the Pearl River Delta, southern China

Economic Reforms and Industrial Policy in a Panel of Chinese Cities

Urban Landscape Spatial Pattern Estimation of Cities in Shandong Province Using Nighttime Luminosity Data

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