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Automatic Land Use Classification and SEA-compliant Indicator Sssessment in Urban Areas

dc.contributor.authorWäger, Patrix
dc.contributor.authorZah, Rainer
dc.contributor.authorSohlbach, Malte
dc.contributor.authorBöhme, Anina
dc.contributor.authorBangert, Dietrich
dc.contributor.editorHřebíček, J.
dc.contributor.editorRáček, J.
dc.date.accessioned2019-09-16T09:34:34Z
dc.date.available2019-09-16T09:34:34Z
dc.date.issued2005
dc.description.abstractThe Strategic Environmental Assessment (SEA) directive 2001/42/EC of the European Commission prescribes inter alia that significant effects of the implementation of certain plans and programs on the environment will be monitored. To support SEA in urban areas, a (semi-)automatic method based on the object oriented classification software eCognition was developed and applied to extract land use categories and selected ecological indicators from remote sensing data of an allotment area in the city of Berlin. The hitherto available results show that compared to a fully manual classification, the object oriented classification with eCognition provides promising results for sealed areas, but a less accurate classification of trees and low vegetation.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol112/0760.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/27315
dc.publisherMasaryk University Brno
dc.relation.ispartofInformatics for Environmental Protection - Networking Environmental Information
dc.relation.ispartofseriesEnviroInfo
dc.titleAutomatic Land Use Classification and SEA-compliant Indicator Sssessment in Urban Areasde
dc.typeText/Conference Paper
gi.citation.publisherPlaceBrno
gi.conference.date2005
gi.conference.locationBrno
gi.conference.sessiontitleUrban environment

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