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Author Doumbia, E.H.T.; Liousse, C.; Keita, S.; Granier, L.; Granier, C.; Elvidge, C.D.; Elguindi, N.; Law, K. url  doi
openurl 
  Title Flaring emissions in Africa: Distribution, evolution and comparison with current inventories Type Journal Article
  Year 2019 Publication Atmospheric Environment Abbreviated Journal Atmospheric Environment  
  Volume 199 Issue Pages 423-434  
  Keywords Remote Sensing  
  Abstract Flaring emissions are a major concern due to large uncertainties in the amount of chemical compounds released into the atmosphere and their evolution with time. A methodology based on DMSP (Defense Meteorological Satellite Program) nighttime light data combined with regional gas flaring volumes from National Oceanic and Atmospheric Administration's National Centers for Environmental Information (NOAA-NCEI) has been developed to estimate flaring emissions. This method is validated in Nigeria where individual field company data are available. The spatial distribution of CO2, CH4, NMVOCs, CO, OC, BC, SO2 and NOx is derived for the African continent for the period 1995–2010.

A range of the emissions due to flaring is estimated based on the range of emission factors (EFs) for each chemical species. An average decrease in CO2 emissions of about 30% is found over Africa from 1995 to 2010, with Nigeria being the largest contributor to this reduction (up to 50%). Changes in the spatial distribution with time indicate local increases, particularly at offshore platforms, which are attributed to a lack of regulations as well as aging infrastructures in oil and gas fields.

Comparisons with current inventories reveal differences in the location and magnitude of point source emissions. For chemical compounds such as NMVOCs and CH4, the ECLIPSE and EDGAR country-level values are considerably higher than the highest flaring emission estimated in this study for 2005. For species such as CO, OC, BC, SO2 and NOx, the emissions provided by the ECLIPSE and EDGAR inventories are generally within the same order of magnitude as the average values found in this study, with the exception of OC, BC and SO2 in which EDGAR provides much lower emissions. These discrepancies are likely due to either differences in the methodologies used to estimate the emissions, in the values of the emission factors considered, or in the definition of flaring sector. Our current estimations suggest that BC, CH4 and CO2 flaring emissions in Africa account for 1–15% (on average 7%), 0.5–8% (on average 2%) and 8–13% (on average 11%) of African total anthropogenic emissions, respectively. The contribution of flaring to African anthropogenic emissions varies widely among countries. For example, in Nigeria the average emissions due to flaring are estimated to be as high as 18% for BC, 10% for CH4 and 50% for CO2, which is significantly greater than the continental average and highlights the importance of emissions in flaring areas.
 
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1352-2310 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number (up) GFZ @ kyba @ Serial 2176  
Permanent link to this record
 

 
Author Stathakis, D.; Baltas, P. url  doi
openurl 
  Title Seasonal population estimates based on night-time lights Type Journal Article
  Year 2018 Publication Computers, Environment and Urban Systems Abbreviated Journal Computers, Environment and Urban Systems  
  Volume 68 Issue Pages 133-141  
  Keywords Remote Sensing  
  Abstract The objective of this paper is to present a method for estimating seasonally specific ambient population counts. The central assumption is that the variation in observed night-lights is a valid proxy for ambient population. Island populations are used for validation, where it is possible to derive estimates of ambient population from national statistics. The method is then applied to the whole of Greece. The validation shows a strong correlation amongst night-lights derived estimates and the reference dataset. Based on the proposed method, national maps are produced showing the month when seasonality is in its peak, the peak value during that month and the overall length of the season, in terms of how many months exceed a certain threshold. Different seasonality patterns are revealed. An advantage of the proposed method, compared to other contemporary approaches, is that it is based on public domain, global data.  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0198-9715 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number (up) GFZ @ kyba @ Serial 2177  
Permanent link to this record
 

 
Author Kuffer, M.; Pfeffer, K.; Sliuzas, R.; Taubenbock, H.; Baud, I.; van Maarseveen, M. url  doi
openurl 
  Title Capturing the Urban Divide in Nighttime Light Images From the International Space Station Type Journal Article
  Year 2018 Publication IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Abbreviated Journal IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing  
  Volume 11 Issue 8 Pages 2578-2586  
  Keywords Remote Sensing  
  Abstract Earlier studies utilizing coarse resolution DMSP-OLS nighttime light (NTL) imagery suggest a negative correlation between the amount of NTL and urban deprivation. The International Space Station (ISS) NTL images offer higher resolution images compared to DMSP-OLS or VIIRS images, allowing an analysis of intraurban NTL variations. The aim of this study is to examine the capacity of ISS images for analyzing the intraurban divide. NTL images of four cities (one African, two Asian, and one South American) have been processed and analyzed. The results show that deprived areas are generally the darker spots of built-up areas within cities, illustrating the urban divide in terms of access to street lighting. However, differences exist between cities: Deprived areas in the African city (Dar es Salaam) generally feature lower NTL emissions compared to the examined cities in South America (Belo Horizonte) and Asia (Mumbai and Ahmedabad). Beyond, variations exist in NTL emissions across deprived areas within cities. Deprived areas at the periphery show less NTL compared to central areas. Edges of deprived areas have higher NTL emissions compared to internal areas. NTL emission differences between types of deprived areas were detected. The correlation between ISS NTL images and population densities is weak; this can be explained by densely built-up deprived areas having less NTL compared to lower density formal areas. Our findings show ISS data complement other data to capture the urban divide between deprived and better-off areas and the need to consider socioeconomic conditions in estimating populations.  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1939-1404 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number (up) GFZ @ kyba @ Serial 2178  
Permanent link to this record
 

 
Author Oozeki, Y.; Inagake, D.; Saito, T.; Okazaki, M.; Fusejima, I.; Hotai, M.; Watanabe, T.; Sugisaki, H.; Miyahara, M. url  doi
openurl 
  Title Reliable estimation of IUU fishing catch amounts in the northwestern Pacific adjacent to the Japanese EEZ: Potential for usage of satellite remote sensing images Type Journal Article
  Year 2018 Publication Marine Policy Abbreviated Journal Marine Policy  
  Volume 88 Issue Pages 64-74  
  Keywords Remote Sensing  
  Abstract To establish an estimation procedure for reliable catch amount of illegal, unreported and unregulated (IUU) fishing, light-gathering fishing operations in the northwestern Pacific were analyzed based on the Visible Infrared Imaging Radiometer Suite (VIIRS) day/night band (DNB) data provided by the Suomi National Polar Partnership (SNPP) satellite. The estimated fishing activities were compared with the navigation tracks of vessels obtained from the automatic identification system (AIS). As a model case, the fishing activities of Chinese fishing boats using fish aggregation lights outside the Japanese EEZ in the northwestern Pacific were analyzed from mid-June to early-September 2016. Integration analyses of VIIRS DNB data and AIS information provided reliable data for estimating the fishing activities of Chinese fishing boats and suggested the importance of estimating fish carrier ship movements. The total amount of the chub mackerel (Scomber japonicus) catch during this period was independently estimated from three angles: 1) the fishing capacity of the fishing boats, 2) the freezing capacity of refrigeration factory ships and 3) the fish hold capacity of the fish carrier ships, based on information obtained from interviews with Chinese fisheries companies. These estimates indicated that the total amount of mackerel catch by Chinese fisheries was more than 80% of the allowable biological catch (ABC) of Japan in this area in 2016. This suggests that Pacific high seas fishing has a significant impact on the future of fish abundance. Our proposed procedure raises the possibility of evaluating the fishing impact of some forms of IUU fisheries independently from conventional statistical reports.  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0308597X ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number (up) GFZ @ kyba @ Serial 2179  
Permanent link to this record
 

 
Author Kalousová, L.; Xiao, B.; Burgard, S.A. url  doi
openurl 
  Title Material hardship and sleep: results from the Michigan Recession and Recovery Study Type Journal Article
  Year 2019 Publication Sleep Health Abbreviated Journal Sleep Health  
  Volume 5 Issue 2 Pages 113-127  
  Keywords Human Health; Remote Sensing; Sleep; sleep inequality; Society; sleep outcomes  
  Abstract Objective

Sleep is unequally distributed in the US population. People with low socioeconomic status report worse quality and shorter sleep than people with high socioeconomic status. Past research hypothesized that a potential reason for this link could be exposure to material hardship. This study examines the associations between several material hardships and sleep outcomes.

Methods

We use population-representative cross-sectional data (n = 730) from the Michigan Recession and Recovery Study collected in 2013 and examine the associations between 6 indicators of material hardship (employment instability, financial problems, housing instability, food insecurity, forgone medical care, and the total number of material hardships reported) and 3 sleep outcomes (short sleep, sleep problems, and nonrestorative sleep). We build multivariable logistic regression models controlling for respondents’ characteristics and light pollution near their residence.

Results

In unadjusted models, all material hardships were associated with negative sleep outcomes. In adjusted models, forgone medical care was a statistically significant predictor of nonrestorative sleep (average marginal effect 0.16), as was employment instability (average marginal effect 0.12). The probability of sleep problems and nonrestorative sleep increased with a greater number of hardships overall (average marginal effects of .02 and .05, respectively). We found marginally statistically significant positive associations between food insecurity and short sleep and sleep problems.

Conclusions

This study finds that, except when considering foregone medical care, employment instability, and total count of material hardships, associations between material hardship and negative sleep outcomes are not statistically significant after adjusting for a robust set of sociodemographic and health characteristics.
 
  Address Nuffield College, 1 New Rd, Oxford, OX1 1NF, United Kingdom; lucie.kalousova(at)nuffield.ox.ac.uk  
  Corporate Author Thesis  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2352-7218 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number (up) GFZ @ kyba @ Serial 2180  
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