Estimating population of Java Island based on nighttime lights data

2021 ◽  
Author(s):  
Mohamad Dimas Henru Nurhadi ◽  
Ari Cahyono
Keyword(s):  
Nighttime Lights

scholarly journals Nighttime Lights and County-Level Economic Activity in the United States: 2001 to 2019

2021 ◽  
Vol 13 (14) ◽  
pp. 2741
Author(s):  
John Gibson ◽  
Geua Boe-Gibson
Keyword(s):  
Time Series ◽  
Economic Activity ◽  
Validation Studies ◽  
National Level ◽  
Predictive Performance ◽  
The United States ◽  
Cross Sectional ◽  
Nation States ◽  
Nighttime Lights ◽  
Defense Meteorological Satellite Program

Nighttime lights (NTL) are a popular type of data for evaluating economic performance of regions and economic impacts of various shocks and interventions. Several validation studies use traditional statistics on economic activity like national or regional gross domestic product (GDP) as a benchmark to evaluate the usefulness of NTL data. Many of these studies rely on dated and imprecise Defense Meteorological Satellite Program (DMSP) data and use aggregated units such as nation-states or the first sub-national level. However, applied researchers who draw support from validation studies to justify their use of NTL data as a proxy for economic activity increasingly focus on smaller and lower level spatial units. This study uses a 2001–19 time-series of GDP for over 3100 U.S. counties as a benchmark to examine the performance of the recently released version 2 VIIRS nighttime lights (V.2 VNL) products as proxies for local economic activity. Contrasts were made between cross-sectional predictions for GDP differences between areas and time-series predictions of GDP changes within areas. Disaggregated GDP data for various industries were used to examine the types of economic activity best proxied by NTL data. Comparisons were also made with the predictive performance of earlier NTL data products and at different levels of spatial aggregation.

scholarly journals Climatic Stress, Internal Migration, and Syrian Civil War Onset

2019 ◽  
Vol 64 (1) ◽  
pp. 3-31 ◽  
Author(s):  
Konstantin Ash ◽  
Nick Obradovich
Keyword(s):  
Internal Migration ◽  
Meteorological Drought ◽  
Internal Displacement ◽  
Drought Period ◽  
Climatic Stress ◽  
Civil Unrest ◽  
Syrian Civil War ◽  
Nighttime Lights ◽  
Nighttime Light ◽  
Climate Events

Syria recently suffered a once in 500-year meteorological drought followed by one of the worst conflicts of the twenty-first century. We exploit subnational variation in drought impact to examine associations between climatic stress and Syria’s political unrest. Climatic stress may produce instability through both immediate hardship and, indirectly, internal migration. Consistent with the internal migration hypothesis, we find less severely drought-stricken Syrian regions more likely to experience protest. We employ nighttime lights as a proxy for population density to examine the association between climatic stress and internal displacement. We find climatic stress decreased nighttime light intensity during the drought period. Increases in nighttime lights from 2005 to 2010 are associated with added risk of protest in Sunni Arab areas, suggesting an influx of migrants bolstered local grievances. Our findings support the internal migration hypothesis and suggest extreme climate events may impact civil unrest via geographically and temporally indirect paths.

scholarly journals Tropospheric Ozone Assessment Report: Present-day ozone distribution and trends relevant to human health

Elem Sci Anth ◽  
2018 ◽  
Vol 6 ◽  
Author(s):  
Zoë L. Fleming ◽  
Ruth M. Doherty ◽  
Erika von Schneidemesser ◽  
Christopher S. Malley ◽  
Owen R. Cooper ◽  
...  
Keyword(s):  
East Asia ◽  
Tropospheric Ozone ◽  
Warm Season ◽  
The Other ◽  
Daily Maximum ◽  
Assessment Report ◽  
Common Trend ◽  
Nighttime Lights ◽  
Ozone Trends ◽  
Other World

This study quantifies the present-day global and regional distributions (2010–2014) and trends (2000–2014) for five ozone metrics relevant for short-term and long-term human exposure. These metrics, calculated by the Tropospheric Ozone Assessment Report, are: 4th highest daily maximum 8-hour ozone (4MDA8); number of days with MDA8 > 70 ppb (NDGT70), SOMO35 (annual Sum of Ozone Means Over 35 ppb) and two seasonally averaged metrics (3MMDA1; AVGMDA8). These metrics were explored at ozone monitoring sites worldwide, which were classified as urban or non-urban based on population and nighttime lights data. Present-day distributions of 4MDA8 and NDGT70, determined predominantly by peak values, are similar with highest levels in western North America, southern Europe and East Asia. For the other three metrics, distributions are similar with North–South gradients more prominent across Europe and Japan. Between 2000 and 2014, significant negative trends in 4MDA8 and NDGT70 occur at most US and some European sites. In contrast, significant positive trends are found at many sites in South Korea and Hong Kong, with mixed trends across Japan. The other three metrics have similar, negative trends for many non-urban North American and some European and Japanese sites, and positive trends across much of East Asia. Globally, metrics at many sites exhibit non-significant trends. At 59% of all sites there is a common direction and significance in the trend across all five metrics, whilst 4MDA8 and NDGT70 have a common trend at ~80% of all sites. Sensitivity analysis shows AVGMDA8 trends differ with averaging period (warm season or annual). Trends are unchanged at many sites when a 1995–2014 period is used; although fewer sites exhibit non-significant trends. Over the longer period 1970–2014, most Japanese sites exhibit positive 4MDA8/SOMO35 trends. Insufficient data exist to characterize ozone trends for the rest of Asia and other world regions.

Using Satellite Data on Nighttime Lights Intensity to Estimate Contemporary Human Migration Distances

2017 ◽  
Vol 107 (3) ◽  
pp. 591-605 ◽  
Author(s):  
Thomas Niedomysl ◽  
Ola Hall ◽  
Maria Francisca Archila Bustos ◽  
Ulf Ernstson
Keyword(s):  
Satellite Data ◽  
Human Migration ◽  
Nighttime Lights
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