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Author Ma, T.; Zhou, C.; Pei, T.; Haynie, S.; Fan, J.
Title Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China's cities Type Journal Article
Year 2012 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment
Volume 124 Issue Pages 99-107
Keywords Urbanization; DMSP-OLS; Nighttime light; Statistical analysis; China; remote sensing; satellite; light at night
Abstract Urbanization process involving increased population size, spatially extended land cover and intensified economic activity plays a substantial role in anthropogenic environment changes. Remotely sensed nighttime lights datasets derived from the Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) provide a consistent measure for characterizing trends in urban sprawl over time (Sutton, 2003). The utility of DMSP/OLS imagery for monitoring dynamics in human settlement and economic activity at regional to global scales has been widely verified in previous studies through statistical correlations between nighttime light brightness and demographic and economic variables ( and ). The quantitative relationship between long-term nighttime light signals and urbanization variables, required for extensive application of DMSP/OLS data for estimating and projecting the trajectory of urban development, however, are not well addressed for individual cities at a local scale. We here present analysis results concerning quantitative responses of stable nighttime lights derived from time series of DMSP/OLS imagery to changes in urbanization variables during 1994–2009 for more than 200 prefectural-level cities and municipalities in China. To identify the best-fitting model for nighttime lights-based measurement of urbanization processes with different development patterns, we comparatively use three regression models: linear, power-law and exponential functions to quantify the long-term relationships between nighttime weighted light area and four urbanization variables: population, gross domestic product (GDP), built-up area and electric power consumption. Our results suggest that nighttime light brightness could be an explanatory indicator for estimating urbanization dynamics at the city level. Various quantitative relationships between urban nighttime lights and urbanization variables may indicate diverse responses of DMSP/OLS nighttime light signals to anthropogenic dynamics in urbanization process in terms of demographic and economic variables. At the city level, growth in weighted lit area may take either a linear, concave (exponential) or convex (power law) form responsive to expanding human population and economic activities during urbanization. Therefore, in practice, quantitative models for using DMSP/OLS data to estimate urbanization dynamics should vary with different patterns of urban development, particularly for cities experiencing rapid urban growth at a local scale.
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Language (up) Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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ISSN 0034-4257 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 219
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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 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
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 221
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Author Small, C.; Elvidge, C.D.
Title Night on Earth: Mapping decadal changes of anthropogenic night light in Asia Type Journal Article
Year 2013 Publication International Journal of Applied Earth Observation and Geoinformation Abbreviated Journal International Journal of Applied Earth Observation and Geoinformation
Volume 22 Issue Pages 40-52
Keywords Urban; Night light; DMSP-OLS; Landsat; Zipf; Asia; India; China; Nightsat; remote sensing; light at night; satellite
Abstract The defense meteorological satellite program (DMSP) operational linescan system (OLS) sensors have imaged emitted light from Earth's surface since the 1970s. Temporal overlap in the missions of 5 OLS sensors allows for intercalibration of the annual composites over the past 19 years (Elvidge et al., 2009). The resulting image time series captures a spatiotemporal signature of the growth and evolution of lighted human settlements and development. We use empirical orthogonal function (EOF) analysis and the temporal feature space to characterize and quantify patterns of temporal change in stable night light brightness and spatial extent since 1992. Temporal EOF analysis provides a statistical basis for representing spatially abundant temporal patterns in the image time series as uncorrelated vectors of brightness as a function of time from 1992 to 2009. The variance partition of the eigenvalue spectrum combined with temporal structure of the EOFs and spatial structure of the PCs provides a basis for distinguishing between deterministic multi-year trends and stochastic year-to-year variance. The low order EOFs and principal components (PC) space together discriminate both earlier (1990s) and later (2000s) increases and decreases in brightness. Inverse transformation of these low order dimensions reduces stochastic variance sufficiently so that tri-temporal composites depict potentially deterministic decadal trends. The most pronounced changes occur in Asia. At critical brightness threshold we find an 18% increase in the number of spatially distinct lights and an 80% increase in lighted area in southern and eastern Asia between 1992 and 2009. During this time both China and India experienced a &#8764;20% increase in number of lights and a &#8764;270% increase in lighted area – although the timing of the increase is later in China than in India. Throughout Asia a variety of different patterns of brightness increase are apparent in tri-temporal brightness composites – as well as some conspicuous areas of apparently decreasing background luminance and, in many places, intermittent light suggesting development of infrastructure rather than persistently lighted development. Vicarious validation using higher resolution Landsat imagery verifies multiple phases of urban growth in several cities as well as the consistent presence of low DN (<&#8764;15) background luminance for many agricultural areas. Lights also allow us to quantify changes in the size distribution and connectedness of different intensities of development. Over a wide range of brightnesses, the size distributions of spatially contiguous lighted area are consistent with power laws with exponents near &#8722;1 as predicted by Zipf's Law for cities. However, the larger lighted segments are much larger than individual cities; they correspond to vast spatial networks of contiguous development (Small et al., 2011).
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Publisher Place of Publication Editor
Language (up) Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0303-2434 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 222
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Author Zhao, N.; Ghosh, T.; Samson, E.L.
Title Mapping spatio-temporal changes of Chinese electric power consumption using night-time imagery Type Journal Article
Year 2012 Publication International Journal of Remote Sensing Abbreviated Journal International Journal of Remote Sensing
Volume 33 Issue 20 Pages 6304-6320
Keywords DMSP-OLS; LandScan; remote sensing; China; satellite; light at night
Abstract China's rapid economic development in the last 20 years has resulted in increased demand for electricity and ensuing shortages in electric power supply. It is necessary to derive accurate and timely information regarding changing spatio-temporal patterns and trends of electric power consumption to inform future electricity allocation. Night-time annual image composites for 1995–2005 were obtained from the Defense Meteorological Satellite Program's Operational Linescan System and were inter-calibrated. The inter-calibrated night-time image composites were used in conjunction with the LandScan 2008 population data to estimate the amounts of electric power consumption in 1995, 2000 and 2005 for China at the province level. The estimated amounts of electric power consumption were then disaggregated to the pixel level. A pixel-based map was produced to show the spatio-temporal changes of electric power consumption from 1995 to 2005, in which 11 regional agglomerations with large increases of electric power consumption had emerged. During the process of producing this spatio-temporal change map, some errors were generated because of the use of single-year LandScan population data, imperfect reference regions for inter-calibration and a single threshold value for delimiting urban areas. However, we believe these errors are limited and acceptable, so we present this method of estimation and disaggregation to show the increases in electric consumption.
Address Department of Geography , Texas State University-San Marcos , San Marcos , TX , 78666 , USA
Corporate Author Thesis
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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 223
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Author Zhao, N.; Samson, E.L.
Title Estimation of virtual water contained in international trade products using nighttime imagery Type Journal Article
Year 2012 Publication International Journal of Applied Earth Observation and Geoinformation Abbreviated Journal International Journal of Applied Earth Observation and Geoinformation
Volume 18 Issue Pages 243-250
Keywords Virtual water; Nighttime imagery; Lit area; Urban population; International trade product; DMSP-OLS; remote sensing; satellite; light at night
Abstract Freshwater that is consumed in the process of producing a commodity is called virtual water – it represents all water use contained in that commodity. In social systems, water resources can flow when commodities are traded from one region to another. Quantitative monitoring and assessing virtual water flow related to international trade products is an important issue to comprehensively understand the balance of global water resources. In this study we tested the potential of the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) nighttime images in conjunction with the LandScan population dataset for estimation of virtual water contained in international trade products. Lit area (areal extent of night lights) and urban population were selected as proxies to estimate export virtual water (EVW), import virtual water (IVW), and traded virtual water (TVW) (summed EVW and IVW), respectively, on the national level. The results showed that IVW can be more accurately estimated than EVW regardless of lit area or urban population. Lit area is normally more appropriate for estimation of the virtual water of developed countries than those of developing countries, but urban population is more appropriate for estimation of the virtual water of developing countries than those of developed countries. Urban population is a better proxy than total population for estimations of virtual water. This study makes a negative finding in that there are relatively large underestimations for developed countries. Another negative finding is that neither lit area nor urban population can be used to estimate net import virtual water (NIVW).
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Corporate Author Thesis
Publisher Place of Publication Editor
Language (up) Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0303-2434 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number IDA @ john @ Serial 224
Permanent link to this record