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Nighttime-lights-derived fossil fuel carbon dioxide emission maps and their limitations / Naizhuo Zhao in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 12 (December 2015)
[article]
Titre : Nighttime-lights-derived fossil fuel carbon dioxide emission maps and their limitations Type de document : Article/Communication Auteurs : Naizhuo Zhao, Auteur ; Eric L. Samson, Auteur ; Nathan A. Currit, Auteur Année de publication : 2015 Article en page(s) : pp 935 - 943 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse d'image numérique
[Termes IGN] cartographie des risques
[Termes IGN] dioxyde de carbone
[Termes IGN] éclairage public
[Termes IGN] luminance lumineuse
[Termes IGN] pollution lumineuse
[Termes IGN] prise de vue nocturneRésumé : (auteur) Brightness of nighttime lights has been used as an indicator for spatial disaggregation of CO2 emission based on an assumed linear relationship between the digital number (DN) values of nighttime light imagery and the amount of CO2 emissions. However, reliability of the linear relationship of these variables has not been thoroughly examined. In this study, we find that the actual overall correlations are exponential rather than linear. More specific analyses showed that the DN values of nighttime light imagery first behaves linearly (from 3 to 50) and then exponentially (from 51 to 63), correlating to the amount of CO2 emissions. Regardless of the use of a linear or piecewise function, some featured limitations are evident as we developed the methodology. Among significant limitations, CO2 emissions were not visualized in unlit areas and a lack of variation existed in regions with the same DN values of nighttime light imagery. Lastly CO2 emissions in urban core areas were grossly under-estimated. Numéro de notice : A2015-993 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.12.935 En ligne : https://doi.org/10.14358/PERS.81.12.935 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80274
in Photogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 12 (December 2015) . - pp 935 - 943[article]