lewis dijkstra, dg regional policy
DESCRIPTION
TRANSCRIPT
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REGIOREGIOgigiss
The Urban Atlas
Lewis Dijkstra, PhDDeputy Head of the Analysis Unit
European Commission – DG Regional [email protected]
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Urban Atlas project
• A shared project between ESA, DG ENTR (GMES) and DG REGIO.
• Providing high resolution land cover/land use maps based on a common methodology
• Covering 305 major European agglomerations, based on Urban Audit definition of Larger Urban Zones
• Imagery reference year: 2006 (+/- 1 year)• Project duration: 2009-2011
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Main features
• Thematic classes based on CORINE Land Cover nomenclature
• But more specific for built-up areas, and less specific outside urban areas
• Geometric resolution of 1:10,000• Minimum mapping unit of 0.25 ha in urban
areas, 1 ha in other areas
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CORINE Land Cover
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Urban Atlas
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SPOT / ALOS images
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Production
• Mix of automatic classification and photo-interpretation
• Various data sources used, depending on thematic classes
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Thematic classes
• Residential areas: use of soil sealing layer to distinguish between density classes
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Thematic classes
• Non-residential urban areas• Detailed transport network layer (COTS)• Local maps as auxiliary source of
information
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Thematic classes
• Other classes• Less thematic detail for agricultural,
natural and forest areas (and MMU 1 ha)
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Validation process
• Internal validation by the contractor• Qualitative verification supported by EEA
and EIONET – ETC/LUSI– Format and metadata– Mapping specifications– Topology
• Quantitative validation on a subset of cities by independent experts
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Dissemination
• Georeferenced layers are freely available• Data download:
http://www.eea.europa.eu/data-and-maps/data/urban-atlas
• Map viewer: http://www.eea.europa.eu/data-and-maps/figures/urban-atlas
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Derived indicators
• Can be exploited at the level of Urban Audit units:– Larger Urban Zone (LUZ), kernel, city, sub-
city districts (SCD)
• Land cover/use surface breakdown• Green urban areas per inhabitant• A sprawl analysis (ESPON LUPA project)
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Compactness of cities
• Share of selected land cover classes in total land surface of concentric circles defined around the city centroid– Residential areas (continuous /
discontinuous)– Industrial, commercial, public, etc. areas– Green urban areas
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Modelling
• Input data for modelling of urban vulnerabilities to natural hazards (JRC)
• http://moland.jrc.ec.europa.eu/evdab/HTML/home.html
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Modelling and indicator applications
• More EU-wide (planned) use cases:– Urban morphology and urban form– Land use modelling: drivers for/from urban
areas– Spatial allocation or distribution of statistical
variables– Climate change and urban areas– Distribution and availability of green urban
areas and urban green “background”
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Population distribution and green urban areas• Ongoing analysis on proximity and
accessibility of green urban areas• Combination of Urban Atlas data,
population distribution and urban street network
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Proximity of green urban areas• Creation of accessibility areas around urban
atlas polygons, based on 15 minutes of walking distance
• Determine the surface of the green areas which can be reached within the walking distance
• Calculate the accessible green surface per inhabitant, at the level of the urban atlas polygon
• Possible aggregation at city level (population weighted average accessible surface)
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Copenhagen
Height = population density
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The Hague
Height = population density
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Helsinki
Height = population density
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The future of the Urban Atlas• Repeat Urban Atlas in order to create a detailed
dynamic view on urban land cover/use• Coherence with other data collection projects is
important– Census 2011– Urban Audit
• Consequences– Define imagery acquisition requirements (2011 +/-
year)– Update methodology, including change detection– Enhance the geographical scope (possible extension
of main agglomerations)