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Zhuo, L.; Ichinose, T.; Zheng, J.; Chen, J.; Shi, P.J.; Li, X. |
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Title |
Modelling the population density of China at the pixel level based on DMSP/OLS non-radiance-calibrated night-time light images |
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Journal Article |
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Year |
2009 |
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International Journal of Remote Sensing |
Abbreviated Journal |
International Journal of Remote Sensing |
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30 |
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4 |
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1003-1018 |
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0143-1161 |
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IDA @ john @ |
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208 |
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Author |
Li, X.; Chen, X.; Zhao, Y.; Xu, J.; Chen, F.; Li, H. |
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Title |
Automatic intercalibration of night-time light imagery using robust regression |
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Journal Article |
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Year |
2013 |
Publication |
Remote Sensing Letters |
Abbreviated Journal |
Remote Sensing Letters |
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Volume |
4 |
Issue |
1 |
Pages |
45-54 |
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Keywords |
remote sensing; light at night |
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Abstract |
In remote-sensing community, radiometric calibration of night-time light images has long been a problem, hindering change detection of images in different dates. Currently, an intercalibration model is regarded as the unique solution for the problem, but prior knowledge is needed to extract reference pixels with stable lights, which are hard to obtain in most of the applications. This study proposed an automatic algorithm to extract the reference pixels for convenient use of the intercalibration model, with an assumption that there are sufficient pixels with stable night-time lights in the multi-temporal images. To automatically extract the stable pixels from images in two dates, all pixels in the two dates were entered into a linear regression model, and the outliers viewed as suspected changed pixels were discarded iteratively. Consequently, some stable pixels were extracted and the intercalibration model was implemented. Annual night-time light composites in Beijing, China, from 1992 to 2010 were taken as the study material, and the results show that the multi-temporal calibrated night-time light data have higher correlation with gross domestic production (GDP) (R 2 = 0.8734) and urban population (UP) (R 2 = 0.9269) than those of the uncalibrated images (with the R 2 values 0.7963 and 0.8575, respectively). Furthermore, the data inconsistency from different night-time light satellites in the same year was reduced with the proposed algorithm. The results demonstrate that the proposed algorithm is effective in intercalibrating the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) images automatically. |
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2150-704X |
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IDA @ john @ |
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211 |
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Li, X.; Ge, L.; Chen, X. |
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Title |
Detecting Zimbabwe's Decadal Economic Decline Using Nighttime Light Imagery |
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Journal Article |
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Year |
2013 |
Publication |
Remote Sensing |
Abbreviated Journal |
Remote Sensing |
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5 |
Issue |
9 |
Pages |
4551-4570 |
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Keywords |
Zimbabwe; economic decline; nighttime light; DMSP-OLS; remote sensing; light at night |
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Abstract |
Zimbabwe’s economy declined between 2000 and 2009. This study detects the economic decline in different regions of Zimbabwe using nighttime light imagery from the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS). We found a good correlation (coefficient = 0.7361) between Zimbabwe’s total nighttime light (TNL) and Gross Domestic Product (GDP) for the period 1992 to 2009. Therefore, TNL was used as an indicator of regional economic conditions in Zimbabwe. Nighttime light imagery from 2000 and 2008 was compared at both national and regional scales for four types of regions. At the national scale, we found that nighttime light in more than half of the lit area decreased between 2000 and 2008. Moreover, within the four region types (inland mining towns, inland agricultural towns, border towns and cities) we determined that the mining and agricultural sectors experienced the most severe economic decline. Some of these findings were validated by economic survey data, proving that the nighttime light data is a potential data source for detecting the economic decline in Zimbabwe. |
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2072-4292 |
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IDA @ john @ |
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212 |
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Author |
Chen, B.; Shi, G.; Wang, B.; Zhao, J.; Tan, S. |
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Title |
Estimation of the anthropogenic heat release distribution in China from 1992 to 2009 |
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Journal Article |
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Year |
2012 |
Publication |
Acta Meteorologica Sinica |
Abbreviated Journal |
Acta Meteorol Sin |
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Volume |
26 |
Issue |
4 |
Pages |
507-515 |
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Keywords |
DMSP/OLS; estimation; distribution; anthropogenic heat flux; China; remote sensing |
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Stable light data from Defense Meteorological Satellite Program (DMSP)/Operational Linescan System (OLS) satellites and authoritative energy consumption data distributed by National Bureau of Statistics of China were applied to estimating the distribution of anthropogenic heat release in China from 1992 to 2009. A strong linear relationship was found between DMSP/OLS digital number data and anthropogenic heat flux density (AHFD). The results indicate that anthropogenic heat release in China was geographically concentrated and was fundamentally correlated with economic activities. The anthropogenic heat release in economically developed areas in northern, eastern, and southern China was much larger than other regions, whereas it was very small in northwestern and southwestern China. The mean AHFD in China increased from 0.07 W m−2 in 1978 to 0.28 W m−2 in 2008. The results indicate that in the anthropogenic heat-concentrated regions of Beijing, the Yangtze River Delta, and the Pearl River Delta, the AHFD levels were much higher than the average. The effect of aggravating anthropogenic heat release on climate change deserves further investigation. |
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0894-0525 |
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IDA @ john @ |
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215 |
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Author |
Levin, N.; Duke, Y. |
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Title |
High spatial resolution night-time light images for demographic and socio-economic studies |
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Journal Article |
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Year |
2012 |
Publication |
Remote Sensing of Environment |
Abbreviated Journal |
Remote Sensing of Environment |
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119 |
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1-10 |
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Keywords |
Night-time lights; DMSP; SAC-C; ISS; Israel; Urban structure; light at night; light pollution; remote sensing; DMSP-OLS |
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Satellite derived night-time lights have been used to study global economic and demographic differences between countries. The majority of studies to date have used the coarse spatial resolution datasets of the Defense Meteorological Satellite Program (DMSP). In this study, we hypothesize that night-time lights can serve as an indicator for demographic and socio-economic properties of built-up areas at a local scale. We used night-time light images acquired by the American DMSP (2003, 2.7 km), Argentinean SAC-C (2007, 300 m) and photographs taken by astronauts from the International Space Station (ISS; 2003, 60 m). We compared the night-time lights of built-up areas based on their geographical location (Israel and the West Bank) and their population (Jewish and Arab). Israeli localities were better lit than West Bank localities, corresponding to the difference in the gross domestic product of the two entities. No difference was found in the night-time lights brightness of Jewish and Arab localities within Israel. However, night-time lights of built-up areas with a Jewish population within Israel and the West Bank were positively correlated with population density and roads density. In contrast, built-up areas with an Arab population had weaker correlations. Differences in the urban structure of Jewish and Arab built-up areas, as well as economic and geopolitical differences between Israel and the West Bank led to the observed differences in night-time lights patterns. Demographic and infrastructure data were able to explain 60% of the spatial variation of the ISS night-time lights, compared with only 28% of the spatial variation of the DMSP night-time lights dataset. The results of this study demonstrate potential uses of night-time lights databases of high spatial resolution, and emphasize the need for a dedicated night-time lights observing satellite. |
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0034-4257 |
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IDA @ john @ |
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218 |
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