Evolution of the energy consumed by street lighting in Spain estimated with DMSP-OLS data

We present the results of the analysis of satellite imagery to study light pollution in Spain. Both calibrated and non-calibrated DMSP-OLS images were used. We describe the method to scale the non-calibrated DMSP-OLS images which allows us to use differential photometry techniques in order to study the evolution of the light pollution. Population data and DMSP-OLS satellite calibrated images for the year 2006 were compared to test the reliability of official statistics in public lighting consumption. We found a relationship between the population and the energy consumption which is valid for several regions. Finally the true evolution of the electricity consumption for street lighting in Spain from 1992 to 2010 was derived; it has been doubled in the last 18 years in most of the provinces. (C) 2013 Elsevier Ltd. All rights reserved,

[1]  Jaime Zamorano,et al.  Proper handling of random errors and distortions in astronomical data analysis , 2002, SPIE Astronomical Telescopes + Instrumentation.

[2]  Mikhail Zhizhin,et al.  A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data , 2009 .

[3]  Masanao Hara,et al.  A Saturated Light Correction Method for DMSP/OLS Nighttime Satellite Imagery , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Jaime Zamorano Calvo,et al.  Contaminación Lumínica en España 2012: Light Pollution in Spain 2012 , 2012 .

[5]  Karen C. Seto,et al.  Monitoring urbanization dynamics in India using DMSP/OLS night time lights and SPOT-VGT data , 2013, Int. J. Appl. Earth Obs. Geoinformation.

[6]  J. Zamorano,et al.  Light pollution in Spain. An european perspective , 2008, 0810.4232.

[7]  Alejandro Sánchez de Miguel,et al.  ISS nocturnal images as a scientific tool against Light Pollution: Flux calibration and colors , 2011 .

[8]  Italy,et al.  The propagation of light pollution in the atmosphere , 2012, 1209.2031.

[9]  Hui Li,et al.  Automatic intercalibration of night-time light imagery using robust regression , 2013 .

[10]  Christopher D. Elvidge,et al.  Satellite inventory of human settlements using nocturnal radiation emissions: a contribution for the global toolchest , 1997 .

[11]  Ramakrishna R. Nemani,et al.  Observational considerations for moderate resolution nighttime lights , 2008, Optical Engineering + Applications.

[12]  Alejandro Sánchez de Miguel,et al.  El uso de imagenes de satélite para combatir la contaminación lumínica , 2013 .

[13]  Alejandro Sánchez de Miguel,et al.  Midiendo la contaminación del cielo desde el espacio , 2011 .

[14]  Qihao Weng,et al.  Global Urban Monitoring and Assessment through Earth Observation , 2014 .

[15]  Jin Chen,et al.  Modelling the population density of China at the pixel level based on DMSP/OLS non‐radiance‐calibrated night‐time light images , 2009 .

[16]  G. Lodato,et al.  Memorie della Società Astronomica Italiana , 2005 .

[17]  Jeremy P. Metcalf.  Detecting and characterizing nighttime lighting using multispectral and hyperspectral imaging , 2012 .

[18]  Alejandro Sánchez de Miguel,et al.  Differential Photometry Study of the European Light Emission to the Space , 2007 .

[19]  C. Llanos.  Física y Sociedad , 2011 .

[20]  Luis J. Goicoechea,et al.  Highlights of Spanish Astrophysics V , 2001 .

[21]  C. Elvidge,et al.  Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption , 1997 .

[22]  Ramakrishna R. Nemani,et al.  International Journal of Remote Sensing the Nightsat Mission Concept the Nightsat Mission Concept , 2022 .

[23]  C. Elvidge,et al.  Citizen Science Provides Valuable Data for Monitoring Global Night Sky Luminance , 2013, Scientific Reports.

[24]  P. Sutton,et al.  Radiance Calibration of DMSP-OLS Low-Light Imaging Data of Human Settlements , 1999 .

[25]  D. Bruce,et al.  The use of night-time lights satellite imagery as a measure of Australia's regional electricity consumption and population distribution , 2010 .

[26]  Preface: Special Session SpS17 Light Pollution: Protecting Astronomical Sites and Increasing Global Awareness Through Education , 2012, Proceedings of the International Astronomical Union.

[27]  Naizhuo Zhao,et al.  Mapping spatio-temporal changes of Chinese electric power consumption using night-time imagery , 2012 .

[28]  Reed Olsen,et al.  The economics of global light pollution , 2010 .

[29]  Boulder,et al.  The artificial night sky brightness mapped from DMSP satellite Operational Linescan System measurements , 2000, astro-ph/0003412.

[30]  Alejandro Sánchez de Miguel.  Variación del brillo del fondo de cielo en el cénit con la fase y altura de la Luna , 2012 .

[31]  Steve Mills,et al.  4 CALIBRATION OF THE VIIRS DAY / NIGHT BAND ( DNB ) , 2010 .

[32]  C. Elvidge,et al.  Using nighttime DMSP/OLS images of city lights to estimate the impact of urban land use on soil resources in the United States , 1997 .

[33]  Jean-Luc Starck,et al.  Astronomical Data Analysis II , 2002 .

[34]  Thomas Farges,et al.  Color pictures of sprites from non‐dedicated observation on board the International Space Station , 2013 .

[35]  Boulder,et al.  The first World Atlas of the artificial night sky brightness , 2001, astro-ph/0108052.

[36]  J. Zamorano,et al.  Light pollution in Spain 2010 , 2011 .

[37]  G. Tana,et al.  Estimating energy consumption from night-time DMPS/OLS imagery after correcting for saturation effects , 2010 .

[38]  C. Elvidge,et al.  Methods Used For the 2006 Radiance Lights , 2010 .

[39]  C. Elvidge,et al.  Mapping City Lights With Nighttime Data from the DMSP Operational Linescan System , 1997 .

[40]  Christopher Small,et al.  Night on Earth: Mapping decadal changes of anthropogenic night light in Asia , 2013, Int. J. Appl. Earth Obs. Geoinformation.

[41]  Boulder,et al.  Naked-eye star visibility and limiting magnitude mapped from DMSP-OLS satellite data , 2001 .

[42]  Christian B. Luginbuhl,et al.  From The Ground Up I: Light Pollution Sources in Flagstaff, Arizona , 2009 .

[43]  Christian Wolter,et al.  Aerial survey and spatial analysis of sources of light pollution in Berlin, Germany , 2012 .

[44]  C. Elvidge,et al.  Development of a 2009 Stable Lights Product using DMSP-OLS data , 2010 .