Lewis Dijkstra, DG Regional Policy


Published on

Published in: Technology, Real Estate
  • Be the first to comment

No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide

Lewis Dijkstra, DG Regional Policy

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