Sánchez de Miguel, Alejandro2023-06-202023-06-2020071. Sensor DMSP/DMSP Visualization Date 2000-10-23 Credit Data courtesy Marc Imhoff of NASA GSFC and Christopher Elvidge of NOAA NGDC. Image by Craig Mayhew and Robert Simmon, NASA GSFC. 2. P. CINZANO , F. FALCHI , C.D. ELVIDGE, Monthly Notices of the Royal Astronomical Society, 328, 689-707 (2001) 3. SECRETARÍA GENERAL DE ENERGÍA, DIRECCIÓN GENERAL DE POLÍTICA ENERGÉTICA Y MINAS, MINISTERIO DE INDUSTRIA, TURISMO Y COMERCIO. La Energía en España - 2004. Pag.103 4. VAN TICHELEN,P., GEERKEN, T., JANSEN B., VANDEN BOSCH (LABORELEC),M., VAN HOOF, VANHOOYDONCK (KREIOS),L., VERCALSTEREN,A, January 2007, Final Report Lot 9: Public street lighting. 5. CIA World Factbook 6. G HAZEU, F PARAMO & J-L WEBER, June 2005. National statistics Form Land Cover Accounts (LEAC/CLC) (Source: EEA - Provisional results). 7. CELMA 4700000, IDAE(2005) 4200000 8. Wikipedia 9. PINDAR, A., PAPETTI, M., Public Procurement of Energy Saving Technologies in Europe (PROST) Report on the Country Study for Italy:Task 2a - Current Public Sector Purchasing, Building, and Replacement Practices Task 4b - PICO Feasibility Study. February 2002, Politecnico di Milano 10. Average power of luminaries at Vila do Gaia (EnLight). 11. Energy Efficiency Index(IEE)=(W/m2)*(100/10 lux).https://hdl.handle.net/20.500.14352/53958In the comparison of light pollution between two countries, there are some difficulties because of geographical, cultural and economical differences. The trouble is even worse considering all different systems of outdoor lighting. As first step, to contrast light pollution between countries, a group of close nations have been chosen with different population densities, size, built surface, etc. As a parameter to compare the emission of each country, the NOAA’s images (DMSP Satellite, OLS “VIS” band 0.40-1.10 um) flux were used and NASA’s software World Wind were employed to solve distortion problem of the Mercator projection. This software allow to draw frontiers over countries, so it is possible to make a particular study of them. In these images all illuminated regions are saturated, so the number of counts don’t represent the flux emitted from that region, although that number is proportional to region’s area. As it is known the area of each country it is possible to calculate the density of illuminated area per person and proportion of illuminated territory. These parameters allow to compare the aspect of the country from space. This parameter is very influenced by population’s density, so it is interesting to compare it with other parameters as urban surface, population density, street lamp density. etc. In this study we show some conclusions of the possible roots of the differences found between countries’ illumination.engAtribución-NoComercial-SinDerivadas 3.0 Españaconference paperhttp://www.starlight2007.net/pdf/proceedings/SanchezDeMiguel.pdfhttp://www.starlight2007.net/http://guaix.fis.ucm.es/taxonomy/term/366open access52-33Light pollutionContaminación lumínicaAstrofísicaPolítica europea de energíaPolítica europea de medio ambiente5902.08 Política del Medio Ambiente