Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption

Elvidge, C. D.; Baugh, K.; Kihn, E. A.; Kroehl, H. W.; Davis, Ethan; Davis, C. W.

doi:10.1080/014311697218485

Cited by 797 publications

(462 citation statements)

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“…In previous studies, the magnitude of satellite-derived nighttime lights have served as a spatial proxy for total electricity use [Elvidge et al, 1997;Townsend and Bruce, 2010], energy consumption [Letu et al, 2010], and greenhouse gas emissions [Elvidge et al, 1997;Doll et al, 2000]. Here, we take advantage of a new algorithm to estimate daily patterns of total lighting electricity usage (TLEU).…”

Section: Introductionmentioning

confidence: 99%

Holidays in lights: Tracking cultural patterns in demand for energy services

2015

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Successful climate change mitigation will involve not only technological innovation, but also innovation in how we understand the societal and individual behaviors that shape the demand for energy services. Traditionally, individual energy behaviors have been described as a function of utility optimization and behavioral economics, with price restructuring as the dominant policy lever. Previous research at the macro-level has identified economic activity, power generation and technology, and economic role as significant factors that shape energy use. However, most demand models lack basic contextual information on how dominant social phenomenon, the changing demographics of cities, and the sociocultural setting within which people operate, affect energy decisions and use patterns. Here we use high-quality Suomi-NPP VIIRS nighttime environmental products to: (1) observe aggregate human behavior through variations in energy service demand patterns during the Christmas and New Year's season and the Holy Month of Ramadan and (2) demonstrate that patterns in energy behaviors closely track sociocultural boundaries at the country, city, and district level. These findings indicate that energy decision making and demand is a sociocultural process as well as an economic process, often involving a combination of individual price-based incentives and societal-level factors. While nighttime satellite imagery has been used to map regional energy infrastructure distribution, tracking daily dynamic lighting demand at three major scales of urbanization is novel. This methodology can enrich research on the relative importance of drivers of energy demand and conservation behaviors at fine scales. Our initial results demonstrate the importance of seating energy demand frameworks in a social context.

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Section: Introductionmentioning

confidence: 99%

Holidays in lights: Tracking cultural patterns in demand for energy services

2015

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“…The digital archive was initiated in 1992. Starting in 1994, NGDC has embarked on the development of night time lights processing algorithms and products from the DMSP-OLS (Elvidge et al 1997a(Elvidge et al , 1997b(Elvidge et al , 1997c.…”

Section: Observations and Data Analysismentioning

confidence: 99%

“…DMSP platforms are stabilized using four gyroscopes (three axis stabilization), and platform orientation is adjusted using a star mapper, an Earth limb sensor, and a solar detector (Elvidge et al 1997a). Daily radar bevel vector sightings of the satellites provided by Naval Space Command allow Air Force orbital mechanics models to compute geodetic subtrack of each orbit giving the position of satellites every 0.4208 seconds.…”

Section: Observations and Data Analysismentioning

confidence: 99%

“…The first global DMSP image of the Earth at night was produced at 10 km resolution (Sullivan 1989(Sullivan , 1991 using DMSP film strips, the only data available at that time. Beginning in 1992, the availability of digital DMSP data has enabled a new set of higher spatial resolution products (Elvidge et al 1997a(Elvidge et al , 1997b(Elvidge et al , 1997c. These data have been used to model population distribution (Sutton et al 1997) and urban sprawl impacts on food production (Imhoff et al 1997a(Imhoff et al , 1997b.…”

Section: Introductionmentioning

confidence: 99%

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The artificial night sky brightness mapped from DMSP satellite Operational Linescan System measurements

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Falchi

Elvidge

et al. 2000

Monthly Notices of the Royal Astronomical Society

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We present a method to map the artificial sky brightness across large territories in astronomical photometric bands with a resolution of approximately 1 km. This is useful to quantify the situation of night sky pollution, to recognize potential astronomical sites and to allow future monitoring of trends. The artificial sky brightness present in the chosen direction at a given position on the Earth's surface is obtained by the integration of the contributions produced by every surface area in the surrounding. Each contribution is computed based on detailed models for the propagation in the atmosphere of the upward light flux emitted by the area. The light flux is measured with top of atmosphere radiometric observations made by the Defense Meteorological Satellite Program (DMSP) Operational Linescan System.We applied the described method to Europe obtaining the maps of artificial sky brightness in V and B bands.

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“…The DMSP satellites provide direct information on the upward light emission from almost all countries around the World (Sullivan 1989;Elvidge et al 1997aElvidge et al , 1997bElvidge et al , 1997cElvidge et al , 1999Isobe & Hamamura 1998). We present the outlines of a method to map the artificial sky brightness in large territories using the upward flux measured directly in DMSP satellite night-time images.…”

Section: Introductionmentioning

confidence: 99%

The Artificial Sky Brightness in Europe Derived from DMSP Satellite Data

Cinzano

Falchi

Elvidge

et al. 2001

Symp. - Int. Astron. Union

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Abstract. 'We present maps of the artificial sky brightness in Europe in V band with a resolution of rv1 km. The aim is to understand the state of night sky pollution in Europe, to quantify the present situation and to allow future monitoring of trends. For each terrestrial site the artificial sky brightness in a given direction on the sky is obtained by integrating the contributions from each surface area in the surroundings, using detailed models of the propagation in the atmosphere of the upward light flux emitted by the area. The top-of-atmosphere light flux is measured by the Operational Linescan System of the Defence Meteorological Satellite Program (DMSP) satellites. The modelling technique, which was introduced and developed by Garstang, takes into account the extinction along light paths, double scattering of light from atmospheric molecules and aerosols, and Earth curvature. Use of this technique allows us to assess the aerosol content of the atmosphere.

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Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption

Cited by 797 publications

References 0 publications

Holidays in lights: Tracking cultural patterns in demand for energy services

Holidays in lights: Tracking cultural patterns in demand for energy services

The artificial night sky brightness mapped from DMSP satellite Operational Linescan System measurements

The Artificial Sky Brightness in Europe Derived from DMSP Satellite Data

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