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Author Propastin, P.; Kappas, M.
Title Assessing Satellite-Observed Nighttime Lights for Monitoring Socioeconomic Parameters in the Republic of Kazakhstan Type Journal Article
Year 2012 Publication GIScience & Remote Sensing Abbreviated Journal GIScience & Remote Sensing
Volume 49 Issue 4 Pages 538-557
Keywords (up) DMSP-OLS; remote sensing; light at night; light pollution; satellite; Kazakhstan; former Soviet republics
Abstract This paper describes an initial assessment of human-induced nighttime lights acquired by the Defence Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) with respect to its applicability in monitoring settlement patterns, population, electricity consumption, gross domestic product (GDP), and carbon dioxide emissions at different spatial levels in the Republic of Kazakhstan. The results revealed the suitability of DMSP-OLS data to detect both urban expansion and contraction over last two decades caused by the new economic situation following the independence of Kazakhstan in 1991. Relationships between DMSP-OLS urban lit area and the socioeconomic parameters were quantified. The DMSP-OLS data proved to be an effective tool in the monitoring of both the spatial and temporal variability of the examined socioeconomic parameters.
Address Georg-August University, Göttingen, Germany
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Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1548-1603 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 221
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Author Zeng, C.; Zhou, Y.; Wang, S.; Yan, F.; Zhao, Q.
Title Population spatialization in China based on night-time imagery and land use data Type Journal Article
Year 2011 Publication International Journal of Remote Sensing Abbreviated Journal International Journal of Remote Sensing
Volume 32 Issue 24 Pages 9599-9620
Keywords (up) DMSP-OLS; remote sensing; light at night; population; modeling
Abstract Population is a key indicator of socioeconomic development, urban planning and environmental protection, particularly for developing countries like China. But, census data for any given area are neither always available nor adequately reflect the internal differences of population. The authors tried to overcome this problem by spatializing the population across China through utilizing integer night-time imagery (Defense Meteorological Satellite Program/Operational Linescan System, DMSP/OLS) and land-use data. In creating the population linear regression model, night-time light intensity and lit areas, under different types of land use, were employed as predictor variables, and census data as dependent variables. To improve model performance, eight zones were created using night-time imagery clustering and shortest path algorithm. The population model is observed to have a coefficient of determination (R 2) ranging from 0.80 to 0.95 in the research area, which remained the same in different years. A comparison of the results of this study with those of other researchers shows that the spatialized population density map, prepared on the basis of night-time imagery, reflects the population distribution character more explicitly and in greater detail.
Address State Key Laboratory of Remote Sensing Science , Jointly Sponsored by the Institute of Remote Sensing Applications of the Chinese Academy of Sciences and Beijing Normal University , Beijing, 100101, PR China
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0143-1161 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 228
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Author Letu, H.; Hara, M.; Tana, G.; Nishio, F.
Title A Saturated Light Correction Method for DMSP/OLS Nighttime Satellite Imagery Type 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 (up) DMSP-OLS; remote sensing; light at night; radiometry; calibration
Abstract 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.
Address
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0196-2892 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 204
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Author Butt, M.J.
Title Estimation of Light Pollution Using Satellite Remote Sensing and Geographic Information System Techniques Type Journal Article
Year 2012 Publication GIScience & Remote Sensing Abbreviated Journal GIScience & Remote Sensing
Volume 49 Issue 4 Pages 609-621
Keywords (up) DMSP-OLS; remote sensing; light pollution; measurements
Abstract The primary focus of this research is to estimate light pollution in the urban and suburban regions of Pakistan with the help of satellite remote sensing (SRS) and geographic information system (GIS) techniques. Analog maps and multi-temporal nighttime images of the Defense Meteorological Satellite Program (DMSP) onboard Operational Linescan System (OLS) sensor were used in this study. A series of direct and indirect light pollution maps of the study area were generated and analyzed. The results of the study show that in the urban environment, light pollution is mainly due to artificial nightlight sources.
Address King Abdulaziz University, Jeddah, Saudi Arabia
Corporate Author Thesis
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Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1548-1603 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 214
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Author Roy Chowdhury, P.K.; Maithani, S.; Dadhwal, V.K.
Title Estimation of urban population in Indo-Gangetic Plains using night-time OLS data Type Journal Article
Year 2012 Publication International Journal of Remote Sensing Abbreviated Journal International Journal of Remote Sensing
Volume 33 Issue 8 Pages 2498-2515
Keywords (up) DMSP-OLS; satellite; remote sensing; Indo-Gangetic Plains; Urban Population; Urban environment
Abstract In this study the applicability of a night-time Operational Linescan System (OLS) sensor in urban population estimation has been examined. The study area consisted of the Indian portion of the Indo-Gangetic Plains. Using night-time OLS data, urban areas situated in the study area were mapped and their areal extent was determined. A linear relationship between the natural log of the urban area and the natural log of the corresponding population was established. The model was calibrated for the year 2001 and then validated for the year 1995. Subsequently, the model was modified using ancillary factors such as electricity consumption to reduce the error in population estimation. Thus, this study attempted to explore the applicability of nighttime OLS data in urban population estimation.
Address Indian Institute of Remote Sensing , Dehradun, 248 001, India
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0143-1161 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 226
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