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Author (up) Chen, H.; Zhang, X.; Wu, R.; Cai, T. url  doi
openurl 
  Title Revisiting the environmental Kuznets curve for city-level CO2 emissions: based on corrected NPP-VIIRS nighttime light data in China Type Journal Article
  Year 2020 Publication Journal of Cleaner Production Abbreviated Journal Journal of Cleaner Production  
  Volume Issue Pages 121575  
  Keywords Remore Sensing; China; carbon emissions; CO2 emissions; night lights; NPP-VIIRS; VIIRS-DNB; VIIRS-DNB; Kuznets curve  
  Abstract With the increasing trend of global warming, the Chinese government faces tremendous pressure to reduce CO2 emissions. The purpose of this study is to accurately measure CO2 emissions at the city scale in China and examine the environmental Kuznets curve, thereby providing a reference for decision-making. Corrected NPP-VIIRS nighttime light data were used to accurately estimate carbon dioxide emissions at the provincial and city scales in China. Then, based on the STRIPAT model, 291 cities in China were used to verify the environmental Kuznets curve. Our results show that on the provincial scale, the R2 between the estimated value and the statistical value of carbon dioxide reaches 0.85. Western cities in China emit more CO2, as do economically developed cities and industry- and mining-dominated cities. There are two CO2 emission hot spots in the north and one cold spot in the south. It was found that the environmental Kuznets curve on the city scale exists. This study has practical value in utilizing NPP-VIIRS data for the estimation of city CO2 emissions. The results also have academic value for determining factors that contribute to carbon dioxide emissions and can provide a reference for relevant decision makers. This study could be considered the first to simulate CO2 emissions at the provincial and city levels in China based on a NPP-VIIRS nighttime light model to explore the associated geographical distribution characteristics and potential influencing factors.  
  Address State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China  
  Corporate Author Thesis  
  Publisher Elsevier Place of Publication Editor  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0959-6526 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ john @ Serial 2917  
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Author (up) Elvidge, C. D.; Baugh, K. E.; Dietz, J. B.; Bland, T.; Sutton, P. C.; Kroehl, H. W. url  doi
openurl 
  Title Radiance calibration of DMSP-OLS low-light imaging data of human settlements. Type Journal Article
  Year 1999 Publication Remote Sensing of Environment Abbreviated Journal  
  Volume 68 Issue 1 Pages 77-88  
  Keywords Remote Sensing; DMSP; DMSP-OLS; satellite; night lights; light pollution  
  Abstract Nocturnal lighting is a primary method for enabling human activity. Outdoor lighting is used extensively worldwide in residential, commercial, industrial, public facilities, and roadways. A radiance calibrated nighttime lights image of the United States has been assembled from Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS). The satellite observation of the location and intensity of nocturnal lighting provide a unique view of humanities presence and can be used as a spatial indicator for other variables that are more difficult to observe at a global scale. Examples include the modeling of population density and energy related greenhouse gas emissions.  
  Address NOAA National Geophysical Data Center, Boulder, CO USA  
  Corporate Author Thesis  
  Publisher Elsevier Place of Publication Editor  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ kagoburian @ Serial 930  
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Author (up) Elvidge, C. D.; Erwin, E.H.; Baugh, K.E.; Ziskin, D.; Tuttle, B.T.; Ghosh, T.; Sutton, P.C. url  doi
isbn  openurl
  Title Overview of DMSP nightime lights and future possibilities Type Conference Article
  Year 2009 Publication Joint Urban Remote Sensing Event Abbreviated Journal  
  Volume Issue Pages  
  Keywords Remote Sensing; DMSP; DMSP-OLS; Night lights  
  Abstract The Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) has a unique capability to collect low-light imaging data of the earth at night. The OLS and its predecessors have collected this style of data on a nightly global basis since 1972. The digital archive of OLS data extends back to 1992. Over the years several global nighttime lights products have been generated. NGDC has now produced a set of global cloud-free nighttime lights products, specifically processed for the detection of changes in lighting emitted by human settlements, spanning 1992-93 to 2008. While the OLS is far from ideal for observing nighttime lights, the DMSP nighttime lights products have been successfully used in modeling the spatial distribution of population density, carbon emissions, and economic activity.  
  Address Earth Observation Group NOAA National Geophysical Data Center Boulder, Colorado 80305 USA; chris.elvidge(at)noaa.gov  
  Corporate Author Thesis  
  Publisher IEEE Place of Publication Editor  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2334-0932 ISBN 978-1-4244-3461-9 Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ john @ Serial 2668  
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Author (up) Fan, J., He, H., Hu, T., Zhang, P., Yu, X., & Zhou, Y. doi  openurl
  Title Estimation of Landscape Pattern Changes in BRICS from 1992 to 2013 Using DMSP-OLS NTL Images Type Journal Article
  Year 2019 Publication Journal of the Indian Society of Remote Sensing Abbreviated Journal J Ind Soc Rem Sens  
  Volume 47 Issue 5 Pages 725–735  
  Keywords Remote Sensing; BRICS; Brazil; India; China; South Africa; nighttime light; night lights; DMSP-OLS  
  Abstract Nighttime light data from the Defense Meteorological Satellite Program’s Operational Linescan System are widely used for monitoring urbanization development. Brazil, Russia, India, China and South Africa (BRICS) countries have global economic and cultural influence in the new era. It was the first time for the researches about BRICS countries adopting nighttime light data to analyze the urbanization process. In this paper, we calibrated and extracted annual urbanized area patches from cities in BRICS based on a quadratic polynomial model. Nine landscape indexes were calculated to analyze urbanization process characteristics in BRICS. The results suggested that China and India both expanded more rapidly than other countries, with urban areas that increased by more than 100%. The expansion of large core cities was dominant in the urbanization of China, while emerging and expanding small urban patches were major forces in the urbanization of India. Since 1992, urbanization declined and urban areas shrunk in Russia, but core cities still maintained strength of urbanization. Due to economic recovery, urban areas near large cities in Russia began to expand. From 1992 to 2013, the urbanization process in South Africa developed slowly, as evidenced by time series fluctuations, but overall the development remained stable. The degree of urbanization in Brazil was greater than that in South Africa but less than that in Russia. Large-sized cities expanded slowly and small-sized cities clearly expanded in BRICS from 1992 to 2013.  
  Address School of Civil and Architectural Engineering,Shandong University of Technology, Zibo, China; anjf(at)sdut.edu.cn  
  Corporate Author Thesis  
  Publisher Springer Place of Publication Editor  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ intern @ Serial 2307  
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Author (up) Huang, X., Wang, C., & Lu, J. url  doi
openurl 
  Title Understanding Spatiotemporal Development of Human Settlement in Hurricane-prone Areas on U.S. Atlantic and Gulf Coasts using Nighttime Remote Sensing Type Journal Article
  Year 2019 Publication Natural Hazards and Earth System Sciences Abbreviated Journal  
  Volume Issue Pages 1-22  
  Keywords Remote Sensing; hurricanes; cyclones; Weather; natural disasters; DMSP-OLS; nighttime light; night lights; vegetation-adjusted NTL urban index; VANUI  
  Abstract Hurricanes, as one of the most devastating natural disasters, have posed great threats to people in coastal areas. A better understanding of spatiotemporal dynamics of human settlement in hurricane-prone areas is demanded for sustainable development. This study uses the DMSP/OLS nighttime light (NTL) data sets from 1992 to 2013 to examine human settlement development in areas with different levels of hurricane proneness. The DMSP/OLS NTL data from six satellites were intercalibrated and desaturated with AVHRR and MODIS optical imagery to derive the vegetation-adjusted NTL urban index (VANUI), a popular index that quantifies human settlement intensity. The derived VANUI time series was examined with the Mann-Kendall test and Theil-Sen test to identify significant spatiotemporal trends. To link the VANUI product to hurricane impacts, four hurricane-prone zones were extracted to represent different levels of hurricane proneness. Aside from geographic division, a wind-speed weighted track density function was developed and applied to historical North Atlantic Basin (NAB)-origin storm tracks to better categorize the four levels of hurricane proneness. Spatiotemporal patterns of human settlement in the four zones were finally analyzed. The results clearly exhibit a north-south and inland-coastal discrepancy of human settlement dynamics. This study also reveals that both the zonal extent and zonal increase rate of human settlement positively correlate with hurricane proneness levels. The intensified human settlement in high hurricane-exposure zones deserves further attention for coastal resilience.  
  Address Department of Geography, University of South Carolina, Columbia, 29208, U.S.A  
  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 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ intern @ Serial 2519  
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