| Records |
| Author |
Kuffer, M.; Pfeffer, K.; Sliuzas, R.; Taubenbock, H.; Baud, I.; van Maarseveen, M. |
Title  |
Capturing the Urban Divide in Nighttime Light Images From the International Space Station |
Type |
Journal Article |
| Year |
2018 |
Publication |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Abbreviated Journal |
IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing |
| Volume |
11 |
Issue |
8 |
Pages |
2578-2586 |
| Keywords |
Remote Sensing |
| Abstract |
Earlier studies utilizing coarse resolution DMSP-OLS nighttime light (NTL) imagery suggest a negative correlation between the amount of NTL and urban deprivation. The International Space Station (ISS) NTL images offer higher resolution images compared to DMSP-OLS or VIIRS images, allowing an analysis of intraurban NTL variations. The aim of this study is to examine the capacity of ISS images for analyzing the intraurban divide. NTL images of four cities (one African, two Asian, and one South American) have been processed and analyzed. The results show that deprived areas are generally the darker spots of built-up areas within cities, illustrating the urban divide in terms of access to street lighting. However, differences exist between cities: Deprived areas in the African city (Dar es Salaam) generally feature lower NTL emissions compared to the examined cities in South America (Belo Horizonte) and Asia (Mumbai and Ahmedabad). Beyond, variations exist in NTL emissions across deprived areas within cities. Deprived areas at the periphery show less NTL compared to central areas. Edges of deprived areas have higher NTL emissions compared to internal areas. NTL emission differences between types of deprived areas were detected. The correlation between ISS NTL images and population densities is weak; this can be explained by densely built-up deprived areas having less NTL compared to lower density formal areas. Our findings show ISS data complement other data to capture the urban divide between deprived and better-off areas and the need to consider socioeconomic conditions in estimating populations. |
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1939-1404 |
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GFZ @ kyba @ |
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2178 |
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| Author |
Faraji, H.; MacLean, W.J. |
| Title |
CCD noise removal in digital images |
Type |
Journal Article |
| Year |
2006 |
Publication |
IEEE Transactions on Image Processing |
Abbreviated Journal |
IEEE Trans. on Image Process. |
| Volume |
15 |
Issue |
9 |
Pages |
2676-2685 |
| Keywords |
Remote Sensing |
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1057-7149 |
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LoNNe @ kagoburian @ |
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935 |
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| Author |
Sutton, P.; Roberts, D.; Elvidge, C.; Baugh, K. |
| Title |
Census from Heaven: An estimate of the global human population using night-time satellite imagery |
Type |
Journal Article |
| Year |
2001 |
Publication |
International Journal of Remote Sensing |
Abbreviated Journal |
International Journal of Remote Sensing |
| Volume |
22 |
Issue |
16 |
Pages |
3061-3076 |
| Keywords |
light at night; DMSP-OLS; remote sensing; satellite |
| Abstract |
Night-time satellite imagery provided by the Defense Meteorological Satellite Program's Operational Linescan System (DMSP OLS) is evaluated as a means of estimating the population of all the cities of the world based on their areal extent in the image. A global night-time image product was registered to a dataset of 2000 known city locations with known populations. A relationship between areal extent and city population discovered by Tobler and Nordbeck is identified on a nation by nation basis to estimate the population of the 22 920 urban clusters that exist in the night-time satellite image. The relationship between city population and city areal extent was derived from 1597 city point locations with known population that landed in a 'lit' area of the image. Due to conurbation, these 1597 cities resulted in only 1383 points of analysis for performing regression. When several cities fell into one 'lit' area their populations were summed. The results of this analysis allow for an estimate of the urban population of every nation of the world. By using the known percent of population in urban areas for every nation a total national population was also estimated. The sum of these estimates is a total estimate of the global human population, which in this case was 6.3 billion. This is fairly close to the generally accepted contemporaneous (1997) estimate of the global population which stood at approximately 5.9 billion. |
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0143-1161 |
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IDA @ john @ |
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234 |
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Elvidge, C. D.; Sutton, P. C.; Turtle, B. T.; Baugh, K. E.; Howard, A. T.; Erwin, E. H. |
| Title |
Change Detection in Satellite Observed Nighttime Lights: 1992-2003 |
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Journal Article |
| Year |
2007 |
Publication |
In Urban Remote Sensing Joint Event, 2007 |
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1-4 |
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Remote Sensing |
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LoNNe @ kagoburian @ |
Serial |
933 |
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| Author |
Xiang, W.; Tan, M. |
| Title |
Changes in Light Pollution and the Causing Factors in China's Protected Areas, 1992-2012 |
Type |
Journal Article |
| Year |
2017 |
Publication |
Remote Sensing |
Abbreviated Journal |
Remote Sensing |
| Volume |
9 |
Issue |
10 |
Pages |
1026 |
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Remote Sensing |
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2072-4292 |
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LoNNe @ kyba @ |
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1752 |
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