Urban development in the Athens metropolitan area using remote sensing data with supervised analysis and GIS

Weber, C; Petropoulou, C; Hirsch, J

dc.contributor.author	Weber, C	en
dc.contributor.author	Petropoulou, C	en
dc.contributor.author	Hirsch, J	en
dc.date.accessioned	2014-03-01T01:54:31Z
dc.date.available	2014-03-01T01:54:31Z
dc.date.issued	2005	en
dc.identifier.issn	01431161	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27429
dc.subject.other	Developing countries	en
dc.subject.other	Forestry	en
dc.subject.other	Geographic information systems	en
dc.subject.other	Remote sensing	en
dc.subject.other	Satellites	en
dc.subject.other	Sustainable development	en
dc.subject.other	Vegetation	en
dc.subject.other	Brightness index	en
dc.subject.other	High-density vegetation zones	en
dc.subject.other	Suburban landscape structures	en
dc.subject.other	Urban green zones	en
dc.subject.other	Urban planning	en
dc.subject.other	GIS	en
dc.subject.other	image classification	en
dc.subject.other	land type	en
dc.subject.other	metropolitan area	en
dc.subject.other	NDVI	en
dc.subject.other	remote sensing	en
dc.subject.other	satellite imagery	en
dc.subject.other	urban development	en
dc.subject.other	Cities	en
dc.subject.other	Developing Countries	en
dc.subject.other	Development	en
dc.subject.other	Forestry	en
dc.subject.other	GIS	en
dc.subject.other	Plants	en
dc.subject.other	Remote Sensing	en
dc.subject.other	Satellites	en
dc.subject.other	Athens [Attica]	en
dc.subject.other	Attica	en
dc.subject.other	Eastern Hemisphere	en
dc.subject.other	Eurasia	en
dc.subject.other	Europe	en
dc.subject.other	Greece	en
dc.subject.other	Southern Europe	en
dc.subject.other	World	en
dc.title	Urban development in the Athens metropolitan area using remote sensing data with supervised analysis and GIS	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/01431160512331316856	en
heal.identifier.secondary	http://dx.doi.org/10.1080/01431160512331316856	en
heal.publicationDate	2005	en
heal.abstract	In this study, a set of multi-spectral satellites images were used to locate and identify the irregular settlements zones in the Athens metropolitan area. To achieve this goal, indexes - Brightness Index and Normalized Difference Vegetation Index - and supervised classifications are computed and applied to the images. In order to locate and identify these regions, common biophysical characteristics related to the urban and suburban landscape structures were identified. Five types of biophysical class were distinguished: (1) inner dense city with high buildings and absence of vegetation; (2) suburban areas with recent construction of buildings and absence of vegetation; (3) green suburban areas; (4) high-density vegetation zones; and (5) recent forest fire regions. Some limitations are presented and discussed due to confusion of land-cover types between bare land and recent constructed areas, or between various types of vegetation and some urban green zones. Results are integrated within a Geographical Information System (GIS), allowing the user to check the legal situation of the classified areas using the Urban Plan of Athens (1983-1995) documentation. This facilitates a proposal and representation of typology of irregular settlements. Such techniques might be very fruitful for developing countries or recently industrialized ones to identify specific irregular settlements. © 2005 Taylor & Francis Ltd.	en
heal.journalName	International Journal of Remote Sensing	en
dc.identifier.doi	10.1080/01431160512331316856	en
dc.identifier.volume	26	en
dc.identifier.issue	4	en
dc.identifier.spage	785	en
dc.identifier.epage	796	en