scholarly journals Night on South Korea: Unraveling the Relationship between Urban Development Patterns and DMSP-OLS Night-Time Lights

2019 ◽  
Vol 11 (18) ◽  
pp. 2140 ◽  
Author(s):  
Mingyu Kang ◽  
Meen Jung
Keyword(s):  
South Korea ◽  
Urban Development ◽  
Landscape Metrics ◽  
Night Time ◽  
Aggregation Index ◽  
Development Patterns ◽  
Defense Meteorological Satellite Program ◽  
Heterogeneous Datasets ◽  
The Relationship ◽  
Meteorological Satellite

Using artificial light data measured from satellites has the potential to change research methods in geography and urban planning. The Defense Meteorological Satellite Program Optical Linescan System (DMSP-OLS) night-time light datasets provided consistent and valuable data sources for investigating urbanization processes. This study intends to empirically investigate the relationship between night-time lights, population, and urban development patterns. A novel protocol was developed to integrate heterogeneous datasets into a standardized unit of analysis. Multivariate mixed-effects models were applied to detect correlations within and between provinces in South Korea. To capture physical variations of urban development, four landscape metrics were used and tested in the analyses. Diminishing returns of night-time lights to population were found in all models. In single landscape metric models, all coefficients of landscape metrics were positively related to night-time lights. In combination models, the aggregation index (AI) was no longer statistically significant. The protocol developed in this study provides an effective way to create analytical units for integrating heterogeneous forms of data. Creating standardized units of analyses will make it possible for researchers to compare their results with other studies. Landscape metrics used in this study for capturing the composition and configuration of urban development patterns will enrich the discussion in the future.

scholarly journals Relationship between urban development patterns and noise complaints in England

2020 ◽  
pp. 239980832093024
Author(s):  
Huan Tong ◽  
Jian Kang
Keyword(s):  
Urban Development ◽  
Industrial Structure ◽  
Data Sets ◽  
City Region ◽  
Natural Landscape ◽  
Research Attention ◽  
Development Patterns ◽  
Government Data ◽  
The Relationship

The role of urban planning in sound environments has recently received increased research attention. This study aims to examine the relationship between the rate of noise complaints and urban development patterns concerning planning and landscape at city/region level. Open-source government data sets are used for statistical analysis across all district and unitary local authorities in England. The indicators for urban development patterns are categorised into six groups: population, industrial structure, built-up area, transport network, commuting, and natural landscape factors. Our research found that noise complaints tend to be higher in service-dominated cities/regions with high population densities; large and uneven cities/regions also tend to have more noise complaints, as do clustered cities/regions. However, dispersed, fragmented, and/or cities/regions having ragged boundaries are likely to have less noise complaints. These findings were confirmed by analysis of transport networks and commuting factors. Finally, cities/regions with more natural landscapes and greater separation of residences from workplaces also have fewer noise complaints.

scholarly journals ANALYZING THE VELOCITY OF URBAN DYNAMIC OVER NORTHEASTERN CHINA USING DMSP-OLS NIGHT-TIME LIGHTS

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 1477-1480
Author(s):  
Y. Zhou
Keyword(s):  
Northeastern China ◽  
Night Time ◽  
Velocity Change ◽  
Long Tail ◽  
Defense Meteorological Satellite Program ◽  
Tail Distribution ◽  
Anthropogenic Development ◽  
Urban Dynamic ◽  
Good Proxy ◽  
Meteorological Satellite

Stable night-time lights (NTL) data from the Defense Meteorological Satellite Program Operational Line-scan System (DMSPOLS) can serve as a good proxy for anthropogenic development. Here DMSP-OLS NTL data was used to detect the urban development status in northeastern China. The spatial and temporal gradients are combined to depict the velocity of urban expanding process. This velocity index represents the instantaneous local velocity along the Earth’s surface needed to maintain constant NTL condition, and has a mean of 0.36 km/yr for northeastern China. The velocity change of NTL is lower in the urban center and its near regions, and the suburbs show a relatively high value. The connecting zones between satellite cities and metropolis have also a rapid rate of NTL evolution. The dynamic process of urbanization over the study area is mainly in a manner of spreading from urban cores to edges. The rank size of the velocity for the prefectures is analyzed and a long tail distribution is found. The velocity index can provide insights for the future pattern of urban sprawl.

scholarly journals Identifying and Correcting Signal Shift in DMSP-OLS Data

2020 ◽  
Vol 12 (14) ◽  
pp. 2219
Author(s):  
Konstantin Ash ◽  
Kevin Mazur
Keyword(s):  
Recent Analysis ◽  
Control Points ◽  
Public Goods Provision ◽  
Defense Meteorological Satellite Program ◽  
Nighttime Light Data ◽  
Nighttime Light ◽  
Social Scientific ◽  
The Relationship ◽  
Meteorological Satellite ◽  
Scientific Fields

Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) nighttime light data has become a key tool of the environmental and social scientific fields, but suffers from several validity problems. We highlight one such problem—shifts in the digital number position in DMSP-OLS composites in the same satellite. We present techniques for identifying the problem, using moving window raster correlation and visual inspection, and for solving the problem, by assigning control points and manually shifting raster positions. To illustrate the importance of accounting for signal shift, we re-examine a recent analysis of the relationship between public goods provision and patterns of violence in the 2011 Syrian uprising and ensuing civil war. We find the statistical results change considerably when correcting for signal shift. We attribute this change to the systematic undercounting of light intensity in heavily populated areas. We close by identifying the types of research that would most benefit from our correction and suggest future refinements to our technique through automation.

Assessing nighttime lights for mapping the urban areas of 50 cities across the globe

2018 ◽  
Vol 46 (6) ◽  
pp. 1097-1114
Author(s):  
Hasi Bagan ◽  
Habura Borjigin ◽  
Yoshiki Yamagata
Keyword(s):  
Urban Areas ◽  
Comprehensive Evaluation ◽  
Grid Cell ◽  
Small Cities ◽  
Large Cities ◽  
Nighttime Lights ◽  
Defense Meteorological Satellite Program ◽  
Nighttime Light ◽  
The Relationship ◽  
Meteorological Satellite

Nighttime data from the Defense Meteorological Satellite Program Operational Linescan System have been widely used to map urban/built-up areas (hereafter referred to as “built-up area”), but to date there has not been a geographically comprehensive evaluation of the effectiveness of using nighttime lights data to map urban areas. We created accurate, convenient, and scalable grid cells based on Defense Meteorological Satellite Program/Operational Linescan System nighttime light pixels. We then calculated the density of Landsat-derived built-up areas within each grid cell. We explored the relationship between Defense Meteorological Satellite Program/Operational Linescan System nighttime lights data and the density of built-up areas to assess the utility of nighttime lights for mapping urban areas in 50 cities across the globe. We found that the brightness of nighttime lights was only in moderate agreement with the density of built-up areas; moreover, correlations between nighttime lights and Landsat-derived built-up areas were weak. Even in relatively sparsely populated urban regions (where the density of the built-up area is less than 20%), the highest correlation coefficient ( R2) was only 0.4. Furthermore, nighttime lights showed lighted areas that extended beyond the area of large cities, and nighttime lights reduced the area of small cities. The results suggest that it is difficult to use the regression model to calibrate the Defense Meteorological Satellite Program/Operational Linescan System nighttime lights to fit urban built up areas.

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