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Auteur D.K. Mciver |
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Mapping urban areas by fusing multiple sources of coarse resolution remotely sensed data / A.M. Schneider in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 12 (December 2003)
[article]
Titre : Mapping urban areas by fusing multiple sources of coarse resolution remotely sensed data Type de document : Article/Communication Auteurs : A.M. Schneider, Auteur ; M. Friedl, Auteur ; D.K. Mciver, Auteur Année de publication : 2003 Article en page(s) : pp 1377 - 1386 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] cartographie urbaine
[Termes IGN] classification dirigée
[Termes IGN] données multitemporelles
[Termes IGN] écosystème
[Termes IGN] image multibande
[Termes IGN] zone urbaineRésumé : (Auteur) In recent decades, rapid rates of population growth and urban expansion have led to widespread conversion of natural ecosystems and agricultural lands to urban land cover. The amount and rate of this land conversion affects local and regional ecosystems, climate, biogeochemistry, as well as food production. The main objective of the research described in this paper is to improve understanding of the methodological and validation requirements for mapping urban land cover over large areas from coarse resolution remotely sensed data. A technique called boosting is used to improve supervised classification accuracy and provides a means to integrate moDis data with the Dmsp nighttime lights data set and gridded population data. Results for North America indicate that fusion of these three data types improves urban classification results by resolving confusion between urban and other classes that occurs when any one of the data sets is used by itself. Traditional measures of accuracy assessment as well as new, mapletbased methods demonstrate the effectiveness of the methodology of creating maps of cities at continental scales. Numéro de notice : A2003-358 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.12.1377 En ligne : https://doi.org/10.14358/PERS.69.12.1377 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26438
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 12 (December 2003) . - pp 1377 - 1386[article]