Mapping regional economic activity from night-time light satellite imagery

By Christopher Doll, J. Muller, J. Morley. 2006

687 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4a093dc5ff893c8c009bab54372808f8bccfaa46

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In Global and Planetary Change

Citations in the corpus

Pre-colonial Ethnic Institutions and Contemporary African Development (2012, background): “…development builds on the recent contribution of Henderson, Storeygard, and Weil (2012) and previous works (e.g. Elvidge, Baugh, Kihn, Kroehl, and Davis (1997); Doll, Muller, and Morley (2006)) showing that light density at night is a robust proxy of economic activity (see also Pinkovskiy (2011)).”
Forecasting China’s GDP at the pixel level using nighttime lights time series and population images (2017, background): “…factors (e.g., GDP, electric power consumption, and fossil fuel carbon dioxide (CO2) emissions) (Cao et al. 2014b; Chen and Nordhaus 2010; Doll, Muller, and Morley 2006; Letu et al. 2010; Lo 2002; Oda and Maksyutov 2011; Shi et al. 2016; Sutton, Elvidge, and Ghosh 2007; Wu et al. 2013;…”
A Practical Guide to Geostatistical Mapping (2009, background): “15 Lights at night images — Images of lights at night have shown to be highly correlated with industrial activity 16 and Gross Domestic Product (Doll et al., 2007).”
Using Nighttime Satellite Imagery as a Proxy Measure of Human Well-Being (2013, methodology): “The close relation between the spatial distribution of nighttime lights and economic activity has been observed and utilized in several studies before [2–7].”
Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of China (2013, background): “Although there were several remotely sensed nighttime light sources of data [11,18,19], the only”
Shedding Light on the Global Distribution of Economic Activity (2010, background): “Remote sensing data in the form of nighttime lights can provide a uniform, consistent, and independent estimate of economic activity [4] [13].”
Lights, Camera … Income! Illuminating the National Accounts-Household Surveys Debate (2016, background): “Let us define the unobservable relative weight of log GDP per capita in the best unbiased linear proxy for true income as ωG = γG γG + γ ∗ S (22)”
The Dark Side of Light: A Transdisciplinary Research Agenda for Light Pollution Policy (2010, background): “Although artificial lighting has clearly enhanced the quality of human life (Jakle 2001, Doll et al. 2006), the benefits are accompanied by hidden costs.”
Spatial scaling of stable night lights (2011, background): “, 2007c) and economic activity (Doll et al., 2006; Henderson et al., 2009) at global scales and”
Aid and Growth at the Regional Level (2015, neutral): “14 Dreher et al. (2014) provide geo-coded data on Chinese aid to Africa, (12)Werker et al. (2009) rely on an interaction between oil prices and Muslim majority countries to instrument for oil-producing donors’ aid, Ahmed (2013) and Dreher and Langlotz (2015) interact donor-level political fractional”
Quantifying China's Regional Economic Complexity (2017, neutral): “Moreover, online social networks [3,16,73], mobile phone data [1,11,74], satellite imagery [12,75], geo-tagged images [13] and web queries [76,77] have also been applied to reveal economic status, infer economic development, forecast unemployment, predict poverty, map inequality, quantify trading be”
Applications of Satellite Remote Sensing of Nighttime Light Observations: Advances, Challenges, and Perspectives (2019, methodology): “The current studies for assessing socioeconomic activities using NTL remote sensing can be grouped into four categories: (1) Investigating socioeconomic status at finer spatial scales [7,44,100]; (2) tracking socioeconomic dynamics at higher temporal frequency [101]; (3) quantifying socioeconomic pa”
Intercalibration of DMSP-OLS night-time light data by the invariant region method (2013, background): “…sensing, including the following areas: urban expansion (Lo 2002; Elvidge et al. 2007; McDonald, Kareiva, and Formana 2008), economic evaluation (Doll, Muller, and Morley 2006; Sutton, Elvidge, and Ghosh 2007; Elvidge, Sutton, et al. 2009; Ghosh et al. 2010; Raupach, Rayner, and Paget 2010;…”
MEASURING ECONOMIC GROWTH FROM OUTER SPACE (2012, positive): “…researchers have shown that night lights reflect human economic activity (e.g., Croft (1978), Elvidge et al. (1997b), Sutton and Costanza (2002), Ebener et al (2005), Doll et al. (2006) and Sutton et al (2007)) 3 , but have not used lights in a statistical framework to measure real economic growth.”