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Author Mazor, T.; Levin, N.; Possingham, H.P.; Levy, Y.; Rocchini, D.; Richardson, A.J.; Kark, S.
Title Can satellite-based night lights be used for conservation? The case of nesting sea turtles in the Mediterranean Type Journal Article
Year 2013 Publication Biological Conservation Abbreviated Journal Biological Conservation
Volume 159 Issue Pages 63-72
Keywords Artificial night lights; Caretta caretta; Chelonia mydas; Coastal conservation; Satellite imagery; Sea turtle conservation
Abstract Artificial night lights pose a major threat to multiple species. However, this threat is often disregarded in conservation management and action because it is difficult to quantify its effect. Increasing availability of high spatial-resolution satellite images may enable us to better incorporate this threat into future work, particularly in highly modified ecosystems such as the coastal zone. In this study we examine the potential of satellite night light imagery to predict the distribution of the endangered loggerhead (Caretta caretta) and green (Chelonia mydas) sea turtle nests in the eastern Mediterranean coastline. Using remote sensing tools and high resolution data derived from the SAC-C satellite and the International Space Station, we examined the relationship between the long term spatial patterns of sea turtle nests and the intensity of night lights along Israel’s entire Mediterranean coastline. We found that sea turtles nests are negatively related to night light intensity and are concentrated in darker sections along the coast. Our resulting GLMs showed that night lights were a significant factor for explaining the distribution of sea turtle nests. Other significant variables included: cliff presence, human population density and infrastructure. This study is one of the first to show that night lights estimated with satellite-based imagery can be used to help explain sea turtle nesting activity at a detailed resolution over large areas. This approach can facilitate the management of species affected by night lights, and will be particularly useful in areas that are inaccessible or where broad-scale prioritization of conservation action is required.
Address ARC Centre of Excellence for Environmental Decisions, School of Biological Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia
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ISSN 0006-3207 ISBN Medium
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Notes Approved no
Call Number IDA @ john @ Serial 213
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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 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
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ISSN 1548-1603 ISBN Medium
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Notes Approved no
Call Number IDA @ john @ Serial 214
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Author Chen, B.; Shi, G.; Wang, B.; Zhao, J.; Tan, S.
Title Estimation of the anthropogenic heat release distribution in China from 1992 to 2009 Type Journal Article
Year 2012 Publication Acta Meteorologica Sinica Abbreviated Journal Acta Meteorol Sin
Volume 26 Issue 4 Pages 507-515
Keywords DMSP/OLS; estimation; distribution; anthropogenic heat flux; China; remote sensing
Abstract 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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ISSN 0894-0525 ISBN Medium
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Notes Approved no
Call Number IDA @ john @ Serial 215
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Author Elvidge, C.D.; Baugh, K.E.; Anderson, S.J.; Sutton, P.C.; Ghosh, T.
Title The Lumen Gini Coefficient: a satellite imagery derived human development index Type Journal Article
Year 2012 Publication Social Geography Discussions Abbreviated Journal Soc. Geogr. Discuss.
Volume 8 Issue 1 Pages 27-59
Keywords Gini coefficient; light at night; remote sensing; economics; development
Abstract The “Lumen Gini Coefficient” is a simple, objective, spatially explicit and globally available empirical measurement of human development derived solely from nighttime satellite imagery and population density. There is increasing recognition that the distribution of wealth and income amongst the population in a nation or region correlates strongly with both the overall happiness of that population and the environmental quality of that nation or region. Measuring the distribution of wealth and income at national and regional scales is an interesting and challenging problem. Gini coefficients derived from Lorenz curves are a well-established method of measuring income distribution. Nonetheless, there are many shortcomings of the Gini coefficient as a measure of income or wealth distribution. Gini coefficients are typically calculated using national level data on the distribution of income through the population. Such data are not available for many countries and the results are generally limited to single values representing entire countries. In this paper we develop an alternative measure of the distribution of “human development”, called the “Lumen Gini coefficient”, that is derived without the use of monetary measures of wealth and is capable of providing a spatial depiction of differences in development within countries.
Address NOAA National Geophysical Data Center, Boulder, Colorado, USA
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ISSN 1816-1502 ISBN Medium
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Notes Approved no
Call Number IDA @ john @ Serial 216
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Author Levin, N.; Duke, Y.
Title High spatial resolution night-time light images for demographic and socio-economic studies Type Journal Article
Year 2012 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment
Volume 119 Issue Pages 1-10
Keywords Night-time lights; DMSP; SAC-C; ISS; Israel; Urban structure; light at night; light pollution; remote sensing; DMSP-OLS
Abstract 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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ISSN 0034-4257 ISBN Medium
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Notes Approved no
Call Number IDA @ john @ Serial 218
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