|
|
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,
Fil d'Ariane : Accueil >> Bibliothèque >> Fiche bibliographique
Permalien : http://www.nuitfrance.fr/?page=donneesdoc&partie=fiche-bibliographique
Quelques tags associés : [ DOCUMENTATION, PUBLICATIONS, LITTÉRATURE, CONNAISSANCES, LITTÉRATURE GRISE, ARTICLES DE PRESSE, ARTICLES SCIENTIFIQUES, TEXTES JURIDIQUES, PLANS ET PROGRAMMES, JURISPRUDENCE, DÉCRETS, THÈSES ]
► Fiche bibliographique
Afficher la fiche pour le document :
Document " A cluster-based method to map urban area from DMSP/OLS nightlights "
Type de document : |
Articles de revue scientifique |
Thème du document : |
Quantification et cartographie de la lumière |
Auteur(s) : |
ZHOU Y.
SMITH S.J.
ELVIDGE C.D.
ZHAO K.
THOMSON A.
IMHOFF M.
|
Date de publication : |
Mai 2014 |
Langue : |
English/Anglais |
Nom du périodique : |
Remote Sensing of Environment |
Précisions : |
Volume 147. Pages 173–185 |
Lien contenu/source : |
http://www.sciencedirect.com/science/article/pii/S... |
DOI : |
10.1016/j.rse.2014.03.004 |
Mots-clefs : |
Cities
DMSP/OLS
Land cover and land use change
Nightlights
Segmentation
Threshold
Urban area
|
Citation courte : |
Zhou et al. (2014) |
Citation complète (format NuitFrance) : |
ZHOU Y., SMITH S.J., ELVIDGE C.D., ZHAO K., THOMSON A. & IMHOFF M. (2014). A cluster-based method to map urban area from DMSP/OLS nightlights. Remote Sensing of Environment. Volume 147. Pages 173–185. |
Résumé du document : |
|
Accurate information on urban areas at regional and global scales is important for both the science and policy-making communities. The Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) nighttime stable light data (NTL) provide a potential way to map the extent and dynamics of urban areas in an economic and timely manner. In this study, we developed a cluster-based method to estimate optimal thresholds and map urban extent from the DMSP/OLS NTL data in five major steps, including data preprocessing, urban cluster segmentation, logistic model development, threshold estimation, and urban extent delineation. In our method the optimal thresholds vary by clusters and are estimated based on cluster size and overall nightlight magnitude. The United States and China, two large countries with different urbanization patterns, were selected to test the proposed method. Our results indicate that the urbanized area occupies about 2% of total land area in the US, ranging from lower than 0.5% to higher than 10% at the state level, and less than 1% in China, ranging from lower than 0.1% to about 5% at the province level with some municipalities as high as 10%. The derived thresholds and urban extent were evaluated using a validation sub-sample of high-resolution land cover data at the cluster and regional levels. It was found that our method can map urban areas in both countries efficiently and accurately. The sensitivity analysis indicates that the derived optimal thresholds are not highly sensitive to the parameter choices in the logistic model. Our method reduces the over- and under-estimation issues often associated with previous fixed-threshold techniques when mapping urban extent over a large area. More importantly, our method shows potential to map global urban extent and temporal dynamics using the DMSP/OLS NTL data in a timely, cost-effective way.
|
Saisie sur NuitFrance par : |
Rosor |
Saisie sur NuitFrance en : |
Septembre 2014 |
Identifiant NuitFrance : |
NF-BIBLI-606 |
Permalien de la fiche NuitFrance : |
http://www.nuitfrance.fr/?page=donneesdoc&partie=fiche-bibliographique&id_doc=606 |
|
|
