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| Author |
Wu, J.; He, S.; Peng, J.; Li, W.; Zhong, X. |
| Title |
Intercalibration of DMSP-OLS night-time light data by the invariant region method |
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Journal Article |
| Year |
2013 |
Publication |
International Journal of Remote Sensing |
Abbreviated Journal |
International Journal of Remote Sensing |
| Volume |
34 |
Issue |
20 |
Pages |
7356-7368 |
| Keywords |
DMSP-OLS; remote sensing; light at night |
| Abstract |
DMSP-OLS (Defense Meteorological Satellite Program Operational Linescan System) night-time light data can accurately reflect the scope and intensity of human activities. However, the raw data cannot be used directly for temporal analyses due to the lack of inflight calibration. There are three problems that should be addressed in intercalibration. First, because of differences between sensors, the data are not identical even when obtained in the same year. Second, different acquisition times may lead to random or systematic fluctuations in the data obtained by satellites in different orbits. Third, a pixel saturation phenomenon also exists in the urban centres of the image. Therefore, an invariant region method was used in this article, and the relative radiometric calibration and saturation correction achieved the desired results. In the meantime, intercalibration models for each satellite year of DMSP-OLS night-time light data were produced. Finally, intercalibration accuracy was evaluated, and the intercalibration results were tested with the corresponding gross domestic product (GDP) data. |
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School of Urban Planning and Design , Peking University , Shenzhen , 518055 , China |
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0143-1161 |
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203 |
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Letu, H.; Hara, M.; Tana, G.; Nishio, F. |
| Title |
A Saturated Light Correction Method for DMSP/OLS Nighttime Satellite Imagery |
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Journal Article |
| Year |
2012 |
Publication |
IEEE Transactions on Geoscience and Remote Sensing |
Abbreviated Journal |
IEEE Trans. Geosci. Remote Sensing |
| Volume |
50 |
Issue |
2 |
Pages |
389-396 |
| Keywords |
DMSP-OLS; remote sensing; light at night; radiometry; calibration |
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Several studies have clarified that electric power consumption can be estimated from the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) stable light imagery. As digital numbers (DNs) of stable light images are often saturated in the center of city areas, we developed a saturated light correction method for the DMSP/OLS stable light image using the nighttime radiance calibration image of the DMSP/OLS. The comparison between the nonsaturated part of the stable light image for 1999 and the radiance calibration image for 1996-1997 in major areas of Japan showed a strong linear correlation (R2 = 92.73) between the DNs of both images. Saturated DNs of the stable light image could therefore be corrected based on the correlation equation between the two images. To evaluate the new saturated light correction method, a regression analysis is performed between statistic data of electric power consumption from lighting and the cumulative DNs of the stable light image before and after correcting for the saturation effects by the new method, in comparison to the conventional method, which is, the cubic regression equation method. The results show a stronger improvement in the determination coefficient with the new saturated light correction method (R2 = 0.91, P = 1.7 ·10-6 <; 0.05) than with the conventional method (R2 = 0.81, P = 2.6 ·10-6 <; 0.05) from the initial correlation with the uncorrected data (R2 = 0.70, P = 4.5 · 10-6 <; 0.05). The new method proves therefore to be very efficient for saturated light correction. |
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0196-2892 |
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IDA @ john @ |
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204 |
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Liu, Z.; He, C.; Zhang, Q.; Huang, Q.; Yang, Y. |
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Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008 |
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Journal Article |
| Year |
2012 |
Publication |
Landscape and Urban Planning |
Abbreviated Journal |
Landscape and Urban Planning |
| Volume |
106 |
Issue |
1 |
Pages |
62-72 |
| Keywords |
China; DMSP-OLS; Information extraction; Nighttime stable light; Urban expansion; remote sensing |
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Timely and accurate information about the dynamics of urban expansion is vital to reveal the relationships between urban expansion and the ecosystem, to optimize land use patterns, and to promote the effective development of cities in China. Nighttime stable light data from the Defense Meteorological Satellite Program's Operational Line-scan System (DMSP-OLS) Nighttime Lights Time Series dataset provide a new source of information that can quickly reveal the dynamics of urban expansion. However, the DMSP-OLS sensor has no on-board calibration, which makes it difficult to directly compare time series data from multiple satellites. This study developed a new method for systematically correcting multi-year multi-satellite nighttime stable lights data and rapidly extracting the dynamics of urban expansion based on this corrected data for China from 1992 to 2008. The results revealed that the proposed method effectively reduced abnormal discrepancy within the nighttime stable light data and improved continuity and comparability. The dynamics of urban expansion in China from 1992 to 2008 were extracted with an average overall accuracy of 82.74% and an average Kappa of 0.40. |
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0169-2046 |
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IDA @ john @ |
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205 |
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| Author |
Wang, W.; Cheng, H.; Zhang, L. |
| Title |
Poverty assessment using DMSP/OLS night-time light satellite imagery at a provincial scale in China |
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Journal Article |
| Year |
2012 |
Publication |
Advances in Space Research |
Abbreviated Journal |
Advances in Space Research |
| Volume |
49 |
Issue |
8 |
Pages |
1253-1264 |
| Keywords |
DMSP/OLS night-time light; Provincial scale; Socio-economic development; Principal component analysis; Poverty index; DMSP-OLS; remote sensing |
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All countries around the world and many international bodies, including the United Nations Development Program (UNDP), United Nations Food and Agricultural Organization (FAO), the International Fund for Agricultural Development (IFAD) and the International Labor Organization (ILO), have to eliminate rural poverty. Estimation of regional poverty level is a key issue for making strategies to eradicate poverty. Most of previous studies on regional poverty evaluations are based on statistics collected typically in administrative units. This paper has discussed the deficiencies of traditional studies, and attempted to research regional poverty evaluation issues using 3-year DMSP/OLS night-time light satellite imagery. In this study, we adopted 17 socio-economic indexes to establish an integrated poverty index (IPI) using principal component analysis (PCA), which was proven to provide a good descriptor of poverty levels in 31 regions at a provincial scale in China. We also explored the relationship between DMSP/OLS night-time average light index and the poverty index using regression analysis in SPSS and a good positive linear correlation was modelled, with R2 equal to 0.854. We then looked at provincial poverty problems in China based on this correlation. The research results indicated that the DMSP/OLS night-time light data can assist analysing provincial poverty evaluation issues. |
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0273-1177 |
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IDA @ john @ |
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206 |
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Baugh, K.; Elvidge, C.D.; Ghosh, T.; Ziskin, D. |
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Development of a 2009 Stable Lights Product using DMSP-OLS data |
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Journal Article |
| Year |
2013 |
Publication |
Proceedings of the Asia-Pacific Advanced Network |
Abbreviated Journal |
APAN Proceedings |
| Volume |
30 |
Issue |
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Pages |
114 |
| Keywords |
DMSP-OLS; remote sensing |
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Since 1994, NGDC has had an active program focused on global mapping of nighttime lights using the data collected by the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) sensors. The basic product is a global annual cloud-free composite, which averages the OLS visible band data for one satellite from the cloud-free segments of individual orbits. Over the years, NGDC has developed automatic algorithms for screening the quality of the nighttime visible band observations to remove areas contaminated by sunlight, moonlight, and the presence of clouds. In the Stable Lights product generation, fires and other ephemeral lights are removed based on their high brightness and short duration. Background noise is removed by setting thresholds based on visible band values found in areas known to be free of detectable lights. In 2010, NGDC released the version 4 time series of Stable Lights, spanning the years 1992-2009. These are available online at <http://www.ngdc.noaa.gov/dmsp/downloadV4composites.html>. |
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2227-3026 |
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IDA @ john @ |
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207 |
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