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Author (up) Chen, J., & Li, L. url  doi
openurl 
  Title Regional Economic Activity Derived From MODIS Data: A Comparison With DMSP/OLS and NPP/VIIRS Nighttime Light Data Type Journal Article
  Year 2019 Publication IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Abbreviated Journal  
  Volume Issue Pages 1-11  
  Keywords Remote Sensing; Economics  
  Abstract Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) and Suomi National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) nighttime light data are the two most commonly used indicators of gross domestic product (GDP) estimation. Few studies explore the potential of daytime satellite data for estimating GDP. This study demonstrates a linear support vector machine (Linear-SVM) model to estimate GDP over Hubei province and Guangdong province, China, in 2013 from Moderate Resolution Imaging Spectroradiometer (MODIS) data. Also, a comparison of MODIS data with DMSP/OLS and NPP/VIIRS nighttime light data was conducted. Results show that the Linear-SVM model (Hubei: R2 = 0.66, 0.71, 0.92; Guangdong: R2 = 0.37, 0.32, 0.67) has better model performance than simple linear regression (R2 = 0.54, 0.59, 0.86; R2 = 0.23, 0.23, 0.63) based on DMSP/OLS nighttime lights, DMSP/OLS corrected nighttime lights, and NPP/VIIRS nighttime lights, respectively, while MODIS data has model performance of R2 = 0.77 (Hubei) and R2 = 0.55 (Guangdong) based on the Linear-SVM model, further indicating that MODIS data improves the accuracy of GDP estimation compared to DMSP/OLS nighttime lights. In addition, MODIS data produced finer GDP estimation than DMSP/OLS nighttime lights, especially in dark and light saturated areas. Although MODIS data is not as accurate as the NPP/VIIRS nighttime lights for estimating GDP, the proposed method could be applicable to other daytime satellite data and has broad prospects for improving the spatial and temporal resolution of regional economic activity and improving estimation accuracy.  
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  Call Number IDA @ intern @ Serial 2630  
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Author (up) Chen, J.; Fan, W.; Li, K.; Liu, X.; Song, M. url  doi
openurl 
  Title Fitting Chinese cities’ population distributions using remote sensing satellite data Type Journal Article
  Year 2019 Publication Ecological Indicators Abbreviated Journal Ecological Indicators  
  Volume 98 Issue Pages 327-333  
  Keywords Remote Sensing  
  Abstract Remote sensing satellite data from 2012 to 2013 are used to fit the Chinese cities’ population distributions over the same period in order to verify the population distribution in China from a relatively objective perspective. Most scholars have used nighttime light data and vegetation indexes to fit the population distribution, but the fitting effect has not been satisfactory. In this paper, processed Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime light data, net primary productivity of vegetation (NPP), and average slope data were used to fit the population distribution from the three dimensions of economic growth, ecological environment, and topographic factors, respectively. The fitting effect was significantly improved compared with other studies (R2 values of 0.9244 and 0.9253 in 2012 and 2013, respectively). Therefore, this method provides a practical and effective way to fit the population distribution for remote cities or areas lacking census data. Furthermore, there is important practical significance for the government to formulate its population policies rationally, optimize the spatial distribution of population, and improve the ecological quality of the city.  
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  ISSN 1470160X ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2071  
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Author (up) Chen, J.; Zhao, F.; Zeng, N.; Oda, T. url  doi
openurl 
  Title Comparing a global high-resolution downscaled fossil fuel CO2 emission dataset to local inventory-based estimates over 14 global cities Type Journal Article
  Year 2020 Publication Carbon Balance and Management Abbreviated Journal Carbon Balance Manag  
  Volume 15 Issue 1 Pages 9  
  Keywords Remote Sensing; City CO2 emissions; Emission inventory; Fossil fuel CO2 emissions; In-boundary; Odiac  
  Abstract BACKGROUND: Compilation of emission inventories (EIs) for cities is a whole new challenge to assess the subnational climate mitigation effort under the Paris Climate Agreement. Some cities have started compiling EIs, often following a global community protocol. However, EIs are often difficult to systematically examine because of the ways they were compiled (data collection and emission calculation) and reported (sector definition and direct vs consumption). In addition, such EI estimates are not readily applicable to objective evaluation using modeling and observations due to the lack of spatial emission extents. City emission estimates used in the science community are often based on downscaled gridded EIs, while the accuracy of the downscaled emissions at city level is not fully assessed. RESULTS: This study attempts to assess the utility of the downscaled emissions at city level. We collected EIs from 14 major global cities and compare them to the estimates from a global high-resolution fossil fuel CO2 emission data product (ODIAC) commonly used in the science research community. We made necessary adjustments to the estimates to make our comparison as reasonable as possible. We found that the two methods produce very close area-wide emission estimates for Shanghai and Delhi (< 10% difference), and reach good consistency in half of the cities examined (< 30% difference). The ODIAC dataset exhibits a much higher emission compared to inventory estimates in Cape Town (+ 148%), Sao Paulo (+ 43%) and Beijing (+ 40%), possibly related to poor correlation between nightlight intensity with human activity, such as the high-emission and low-lighting industrial parks in developing countries. On the other hand, ODIAC shows lower estimates in Manhattan (- 62%), New York City (- 45%), Washington D.C. (- 42%) and Toronto (- 33%), all located in North America, which may be attributable to an underestimation of residential emissions from heating in ODIAC's nightlight-based approach, and an overestimation of emission from ground transportation in registered vehicles statistics of inventory estimates. CONCLUSIONS: The relatively good agreement suggests that the ODIAC data product could potentially be used as a first source for prior estimate of city-level CO2 emission, which is valuable for atmosphere CO2 inversion modeling and comparing with satellite CO2 observations. Our compilation of in-boundary emission estimates for 14 cities contributes towards establishing an accurate inventory in-boundary global city carbon emission dataset, necessary for accountable local climate mitigation policies in the future.  
  Address Goddard Earth Sciences Research and Technology, Universities Space Research Association, Columbia, MD, USA  
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  Series Volume Series Issue Edition  
  ISSN 1750-0680 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:32430547 Approved no  
  Call Number GFZ @ kyba @ Serial 2929  
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Author (up) Chen, M.; Zhang, S. url  doi
openurl 
  Title Measuring the regional non-observed economy in China with nighttime lights Type Journal Article
  Year 2020 Publication International Journal of Emerging Markets Abbreviated Journal Ijoem  
  Volume in press Issue Pages  
  Keywords Remote Sensing  
  Abstract Purpose

The non-observed economy (NOE) is a pervasive phenomenon worldwide, especially in developing countries, but the size of the NOE and its contributions to the overall economy are usually unknown. This paper presents an estimation of the average size of the NOE for the 31 provincial regions in China between 1992 and 2013.

Design/methodology/approach

This study uses the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) nighttime light data combined with 11 existing surveys on or measurements of NOE for 191 countries or regions throughout the world, to measure the size of the NOE.

Findings

The results show that the NOE share is unevenly distributed among China's provincial regions, with the smallest being 3.19% for Beijing and the largest being 69.71% for Ningxia. The national average is 43.11%, while the figures for the eastern region, middle region, northeastern region and western region are 39.3%, 47.6%, 44.7% and 43.6%, respectively. The NOE estimates are negatively correlated with the measured gross domestic product (GDP) and GDP per capita, which suggests that developed regions tend to have less NOE.

Originality/value

The nighttime lights are used to measure the NOE for China's provincial regions. Compared with traditional databases, one of the prominent features of nighttime lights is its objectivity, as there is little human interference; therefore, it can be used to achieve more accurate results.
 
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  Series Volume Series Issue Edition  
  ISSN 1746-8809 ISBN Medium  
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  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2936  
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Author (up) Chen, Q.; Ru, T.; Zhai, D.; Huang, X.; Li, Y.; Qian, L.; Wang, Y.; Zhou, G. url  doi
openurl 
  Title Half a century of Lighting Research & Technology: A bibliometric review Type Journal Article
  Year 2019 Publication Lighting Research & Technology Abbreviated Journal Lighting Research & Technology  
  Volume in press Issue Pages 1477153519857788  
  Keywords History; Lighting; Review  
  Abstract Lighting Research & Technology (LRT) is an influential journal in the field of light and lighting dating back to 1969. To celebrate its 50th birthday, the current study explored its bibliometric characteristics and mapped the bibliographic information graphically through VOSviewer software. This analysis found that the number of papers has steadily increased during recent years. The most productive and cited country was the United Kingdom. The most productive and cited institution was Rensselaer Polytechnic Institute. The most prolific author was Steve Fotios and the most cited author was Mark Rea. The journal most cited together with LRT was Leukos. LRT has become more and more international and interdisciplinary over the last five decades. Suggestions for the development of LRT are provided. Develpoments over the last 50 years have turned LRT into one of leading journals in the light and lighting field, one which has a bright future.  
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  ISSN 1477-1535 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2573  
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