ORBi: Van de Voorde Tim - Extraction of land use / landcover – related information from very high resolution data in urban and suburban areas

Reference : Extraction of land use / landcover – related information from very high resolution data ...


	Document type :	Scientific congresses and symposiums : Paper published in a book
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
	To cite this reference:	http://hdl.handle.net/2268/5050

Title :	Extraction of land use / landcover – related information from very high resolution data in urban and suburban areas
Language :	English
Author, co-author :	Van de Voorde, Tim [Vrije Universiteit Brussel - VUB > geografie > Cartography and GIS Research Unit (CGIS) > >]
	De Genst, William [Vrije Universiteit Brussel - VUB > geografie > Cartography and GIS Research Unit (CGIS) > >]
	Canters, Frank [Vrije Universiteit Brussel - VUB > geografie > Cartography and GIS Research Unit (CGIS) > >]
	Stephenne, Nathalie [Université Libre de Bruxelles - ULB > géographie > Institut de Gestion de l’Environnement et d’Aménagement du Territoire (IGEAT) > >]
	Wolff, Éléonore [Université Libre de Bruxelles - ULB > géographie > Institut de Gestion de l’Environnement et d’Aménagement du Territoire (IGEAT) > >]
	Binard, Marc [Université de Liège - ULg > Département de géographie > Labo Surfaces - Unité de Géomatique - Geomatics Unit > >]
Publication date :	2004
Main document title :	Remote Sensing in Transition
Editor :	Goossens, Rudi
Publisher :	Millpress
Pages :	237-244
Peer reviewed :	No
Audience :	International
ISBN :	90 5966 007 2
City :	Rotterdam
Country :	Netherlands
Event name :	23rd symposium of the EARSeL
Event date :	du 2 au 5 juin 2003
Event organizer :	EARSeL
Event place (city) :	Gent
Event country :	Belgium
Keywords :	[en] VHR satellite images ; urban remote sensing, ; land-cover classification
Abstract :	[en] Very High Resolution (VHR) satellite images offer a great potential for the extraction of landuse and land-cover related information for urban areas. The available techniques are diverse and need to be further examined before operational use is possible. In this paper we applied two pixel-by-pixel classification techniques and the object-oriented image analysis approach (eCognition) for a land-cover classification of a Quickbird image of a study area in the northern part of the city of Ghent (Belgium). Only small differences in overall Kappa were noted between the best results of the pixel-based approach (neural network classification with Haralick texture measures) and the object-oriented classification (eCognition). A rule-based procedure using ancillary information on elevation derived from a digital surface model was applied on the pixel-based land-cover classification in order to obtain information on the spatial distribution of buildings and artificial surfaces.
Research units :	Laboratoire SURFACES
Funders :	Politique Scientifique Fédérale (Belgique) = Belgian Federal Science Policy
Name of the research project :	SPIDER
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/2268/5050
Other URL :	http://www.vub.ac.be/spider/intro.html

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Restricted access	Binard-EARSeL-2004b.pdf		Publisher postprint	496.02 kB	Request copy

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