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Author Li, X; Zhou, Y. url  doi
openurl 
  Title (up) A Stepwise Calibration of Global DMSP/OLS Stable Nighttime Light Data (1992–2013) Type Journal Article
  Year 2017 Publication Remote Sensing Abbreviated Journal Remote Sensing  
  Volume 9 Issue 6 Pages 637  
  Keywords Remote Sensing  
  Abstract The Defense Meteorological Satellite Program (DMSP)/Operational Linescan System (OLS) stable nighttime light (NTL) data provide a wide range of potentials for studying global and regional dynamics, such as urban sprawl and electricity consumption. However, due to the lack of on-board calibration, it requires inter-annual calibration for these practical applications. In this study, we proposed a stepwise calibration approach to generate a temporally consistent NTL time series from 1992 to 2013. First, the temporal inconsistencies in the original NTL time series were identified. Then, a stepwise calibration scheme was developed to systematically improve the over- and under- estimation of NTL images derived from particular satellites and years, by making full use of the temporally neighbored image as a reference for calibration. After the stepwise calibration, the raw NTL series were improved with a temporally more consistent trend. Meanwhile, the magnitude of the global sum of NTL is maximally maintained in our results, as compared to the raw data, which outperforms previous conventional calibration approaches. The normalized difference index indicates that our approach can achieve a good agreement between two satellites in the same year. In addition, the analysis between the calibrated NTL time series and other socioeconomic indicators (e.g., gross domestic product and electricity consumption) confirms the good performance of the proposed stepwise calibration. The calibrated NTL time series can serve as useful inputs for NTL related dynamic studies, such as global urban extent change and energy consumption.  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2072-4292 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2492  
Permanent link to this record
 

 
Author Chang, S.; Wang, J.; Zhang, F.; Niu, L.; Wang, Y. url  doi
openurl 
  Title (up) A study of the impacts of urban expansion on vegetation primary productivity levels in the Jing-Jin-Ji region, based on nighttime light data Type Journal Article
  Year 2020 Publication Journal of Cleaner Production Abbreviated Journal Journal of Cleaner Production  
  Volume 263 Issue Pages 121490  
  Keywords Remote Sensing  
  Abstract Rapid urbanization has generated enormous pressure on natural resources. This study illustrates urban expansion in the Jing-Jin-Ji region and its influence on vegetation primary productivity. Tempo-spatial correlations between a vegetation index and nighttime light intensity are discussed to assess the urbanization effect quantitatively. The results show that: (1) From 1998 to 2018, urban areas gradually expanded outward from their original conglomerations. (2) In the past 20 years, Beijing and Tianjin have developed in different ways. The surrounding satellite cities have mostly developed concentrically, although some cities in Hebei province have developed more linearly. (3) The average primary productivity of the study area in 1998, 2003, 2008, 2013, and 2018 was generally lower than that of non-urban regions of the same year. (4) During the period from 1998 to 2018, the primary productivity of vegetation in the urban built-up areas increased, and the condition of the plant improved.  
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  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 GFZ @ kyba @ Serial 2925  
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Author Cao, X.; Chen, J.; Imura, H.; Higashi, O. url  doi
openurl 
  Title (up) A SVM-based method to extract urban areas from DMSP-OLS and SPOT VGT data Type Journal Article
  Year 2009 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume 113 Issue 10 Pages 2205-2209  
  Keywords Remote Sensing  
  Abstract Mapping urban areas at regional and global scales has become an urgent task because of the increasing pressures from rapid urbanization and associated environmental problems. Satellite imaging of stable anthropogenic lights from DMSP-OLS provides an accurate, economical, and straightforward way to map the global distribution of urban areas. To address problems in the thresholding methods that use empirical strategies or manual trial-and-error procedures, we proposed a support vector machine (SVM)-based region-growing algorithm to semi-automatically extract urban areas from DMSP-OLS and SPOT NDVI data. Several simple criteria were used to select SVM training sets of urban and non-urban pixels, and an iterative classification and training procedure was adopted to identify the urban pixels through region growing. The new method was validated using the extents of 25 Chinese cities, as classified by Landsat ETM+ images, and then compared with two common thresholding methods. The results showed that the SVM-based algorithm could not only achieve comparable results to the local-optimized threshold method, but also avoid its tedious trial-and-error procedure, suggesting that the new method is an easy and simple alternative for extracting urban extent from DMSP-OLS and SPOT NDVI data.  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0034-4257 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2041  
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Author L.Imhoff, M.; Lawrence, W.T.; Stutzer, D.C.; Elvidge, C.D. url  doi
openurl 
  Title (up) A technique for using composite DMSP/OLS “City Lights” satellite data to map urban area Type Journal Article
  Year 1997 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume 61 Issue 3 Pages 361-370  
  Keywords Remote Sensing  
  Abstract A Tresholding technique was used to convert a prototype “city lights” data set from the National Oceanic and Atmospheric Administration's National Geophysical Data Center (NOAAINGDC) into a map of “urban areas” for the continental United States. Thresholding was required to adapt the Defense Meteorological Satellite Program's Operational Linescan System (DMSPIOLS)-based NGDC data set into an urban map because the values reported in the prototype represent a cumulative percentage lighted for each pixel extracted from hundreds of nighttime cloud screened orbits, rather than any suitable land-cover classification. The cumulative percentage lighted data could not be used alone because the very high gain of the OLS nighttime photomultiplier configuration can. lead to a pixel (2.7X2.7 km) appearing “lighted” even with very low intensity, nonurban light sources. We found that a threshold of %89% yielded the best results, removing ephemeral light sources and “blooming” of light onto water when adjacent to cities while still leaving the dense urban core intact. This approach gave very good results when compared with the urban areas as defined by the 1990 U. S. Census; the “urban” area from our analysis being only 5% less than that of the Census. The Census was also used to derive population.- and housing-density statistics for the continent-wide “city lights” analysis; these averaged 1033 persons/km2 and 426 housing units/ king, respectively. The use of a nighttime sensor to determine the location and estimate the density of population based on light sources has proved feasible in this exploratory effort. However, issues concerning the use of census data as a benchmark for evaluating the accuracy of remotely sensed imagery are discussed, and potential improvements in the sensor regarding spatial resolution, instrument gain, and pointing accuracy are addressed.  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0034-4257 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2220  
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Author Gibson J.; Olivia S.; Boe-Gibson G. url  openurl
  Title (up) A Test of DMPS and VIIRS Night Lights Data for Estimating GDP and Spatial Inequality for Rural and Urban Areas Type Journal Article
  Year 2019 Publication Working Paper in Economics Abbreviated Journal  
  Volume 19 Issue 11 Pages  
  Keywords Remote sensing; Economics  
  Abstract Night lights, as detected by satellites, are increasingly used by economists, especially to proxy for economic activity in poor countries. Widely used data from the Defense Meteorological Satellite Program (DMSP) have several flaws; blurring, top-coding, lack of calibration, and variation in sensor amplification that impairs comparability over time and space. These flaws are not present in newer data from the Visible Infrared Imaging Radiometer Suite (VIIRS) that is widely used in other disciplines. Economists have been slow to switch to these better VIIRS data, perhaps because flaws in DMSP are rarely emphasized. We show the relationship between night lights and Indonesian GDP at the second sub-national level for 497 spatial units. The DMSP data are not a suitable proxy for GDP outside of cities. Within the urban sector, the lights-GDP relationship is twice as noisy using DMSP as using VIIRS. Spatial inequality is considerably understated by the DMSP data. A Pareto adjustment to correct for top-coding in DMSP data has a modest effect but still understates spatial inequality and misses much of the intra-city heterogeneity in the brightness of lights for Jakarta.  
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  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number UP @ altintas1 @ Serial 3159  
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