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NUITFRANCE - Bibliothèque - Fiche bibliographique
Bibliothèque
Cette rubrique recense :
- de la documentation sur les différents thèmes de la nuit (vie nocturne, pollution lumineuse, pollution sonore, ...).
- les données informatiques relatives à l'éclairage public digitalisées et mises à dispositions en open data par certaines communes,
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Quelques tags associés : [ DOCUMENTATION, PUBLICATIONS, LITTÉRATURE, CONNAISSANCES, LITTÉRATURE GRISE, ARTICLES DE PRESSE, ARTICLES SCIENTIFIQUES, TEXTES JURIDIQUES, PLANS ET PROGRAMMES, JURISPRUDENCE, DÉCRETS, THÈSES ]
► Fiche bibliographique
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Document " Modelling the population density of China at the pixel level based on DMSP/OLS non-radiance-calibrated night-time light images "
Type de document : |
Articles de revue scientifique |
Thème du document : |
Quantification et cartographie de la lumière |
Auteur(s) : |
ZHUO L. ICHINOSE T. ZHENG J. CHEN J. SHI J. LI X.
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Date de publication : |
2009 |
Langue : |
English/Anglais |
Nom du périodique : |
International Journal of Remote Sensing |
Précisions : |
Volume 30. Numéro 4. Pages 1003-1018 |
Lien contenu/source : |
http://www.tandfonline.com/doi/abs/10.1080/0143116... |
DOI : |
10.1080/01431160802430693 |
Mots-clefs : |
Census City lights Emissions Human-settlements Operational linescan system Satellite imagery United-States Urban-population
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Citation courte : |
Zhuo et al. (2009) |
Citation complète (format NuitFrance) : |
ZHUO L., ICHINOSE T., ZHENG J., CHEN J., SHI J. & LI X. (2009). Modelling the population density of China at the pixel level based on DMSP/OLS non-radiance-calibrated night-time light images. International Journal of Remote Sensing. Volume 30. Numéro 4. Pages 1003-1018. |
Résumé du document : |
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The spatial distribution of population density is crucial for analysing the relationships among economic growth, environmental protection and resource use. In this study we simulated China's population density in 1998 at 1 km×1 km resolution by integrating DMSP/OLS non-radiance-calibrated night-time images, SPOT/VGT 10-day maximum NDVI composite, population census data and vector county boundaries. Population density, both inside and outside of light patches, was estimated for four types of counties, which were classified according to their light characteristics. The model for estimating population density inside the light patches was developed based on a significant correlation between light intensity and population, while the model for estimating population density outside of light patches was constructed by combining Coulomb's law with electric field superposition principle. Our method was simpler and less expensive than existing methods for spatializing population density. The results were consistent with other estimates but exhibited more spatial heterogeneity and richer information.
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Saisie sur NuitFrance par : |
Rosor |
Saisie sur NuitFrance en : |
Octobre 2014 |
Identifiant NuitFrance : |
NF-BIBLI-847 |
Permalien de la fiche NuitFrance : |
http://www.nuitfrance.fr/?page=donneesdoc&partie=fiche-bibliographique&id_doc=847 |
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