E Cognition User Summit2009 M Wurm Dlr Structure Types C

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E Cognition User Summit2009 M Wurm Dlr Structure Types

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E Cognition User Summit2009 M Wurm Dlr Structure Types C

  1. 1. Mapping urban diversity Derivation of urban structure types by means of multisensoral remote sensing data Michael Wurm German Aerospace Center (DLR) German Remote Sensing Data Center (DFD) University of Würzburg, Department for Remote Sensing
  2. 2. Global urbanisation
  3. 3. Urban spatial structure - Urban diversity
  4. 4. Characterisation of urban landscape for … <ul><li>Physical furnishing of the urban area </li></ul><ul><li>Mapping/Monitoring the urban landscape </li></ul><ul><li>Comparability </li></ul><ul><li>Urban planning </li></ul><ul><li>Added-value analyses </li></ul><ul><ul><li>Risk- and vulnerability assessment </li></ul></ul><ul><ul><li>Assessment of local heating potentials </li></ul></ul><ul><ul><li>Socioeconomic data </li></ul></ul>Discrimination of homogenous areas on block level  Urban structure types
  5. 5. Landsat Ikonos/DSM Wickop, 1998 and Banzhaf, 2008
  6. 6. Image Analysis Segmentation Classification Aggregation Added-value Analysis Image Input Workflow Buildings SegOpt LCC BType DSM VHR.opt
  7. 7. Building extraction DSM VHR Fused Blocks-Import Segmentation 1 Segmentation 2 Building Classification Height DSM VHR Fused Blocks-Import Segmentation 1 Segmentation 2 Building Classification Height DSM VHR Fused Blocks-Import Segmentation 1 Segmentation 2 Building Classification Height DSM VHR Fused Blocks-Import Segmentation 1 Segmentation 2 Building Classification Height DSM VHR Fused Blocks-Import Segmentation 1 Segmentation 2 Building Classification Height DSM VHR Fused Blocks-Import Segmentation 1 Segmentation 2 Building Classification Height DSM VHR Fused Blocks-Import Segmentation 1 Segmentation 2 Building Classification Height DSM VHR Fused Blocks-Import Segmentation 1 Segmentation 2 Building Classification Height
  8. 9. Image Analysis Segmentation Classification Aggregation Added-value Analysis Image Input Workflow Buildings SegOpt LCC BType DSM VHR.opt
  9. 10. Buildings-VHR Input Basic Segmentation Optimzation Level 1 Optimization Level 2 Optimzation Level 3 Classification Building Classification Streets Import LCC .1 LCC .2 LCC .3 LCC .4 Final LCC Buildings-VHR Input Basic Segmentation Optimzation Level 1 Optimization Level 2 Optimzation Level 3 Classification Building Classification Streets Import LCC .1 LCC .2 LCC .3 LCC .4 Final LCC Buildings-VHR Input Basic Segmentation Optimzation Level 1 Optimization Level 2 Optimzation Level 3 Classification Building Classification Streets Import LCC .1 LCC .2 LCC .3 LCC .4 Final LCC Buildings-VHR Input Basic Segmentation Optimzation Level 1 Optimization Level 2 Optimzation Level 3 Classification Building Classification Streets Import LCC .1 LCC .2 LCC .3 LCC .4 Final LCC Segmentation-optimization Buildings-VHR Input Basic Segmentation Optimzation Level 1 Optimization Level 2 Optimzation Level 3 Classification Building Classification Streets Import LCC .1 LCC .2 LCC .3 LCC .4 Final LCC
  10. 11. Buildings-VHR Input Basic Segmentation Optimzation Level 1 Optimization Level 2 Optimzation Level 3 Classification Building Classification Streets Import LCC .1 LCC .2 LCC .3 LCC .4 Final LCC Buildings-VHR Input Basic Segmentation Optimzation Level 1 Optimization Level 2 Optimzation Level 3 Classification Building Classification Streets Import LCC .1 LCC .2 LCC .3 LCC .4 Final LCC Buildings-VHR Input Basic Segmentation Optimzation Level 1 Optimization Level 2 Optimzation Level 3 Classification Building Classification Streets Import LCC .1 LCC .2 LCC .3 LCC .4 Final LCC Buildings-VHR Input Basic Segmentation Optimzation Level 1 Optimization Level 2 Optimzation Level 3 Classification Building Classification Streets Import LCC .1 LCC .2 LCC .3 LCC .4 Final LCC Buildings-VHR Input Basic Segmentation Optimzation Level 1 Optimization Level 2 Optimzation Level 3 Classification Building Classification Streets Import LCC .1 LCC .2 LCC .3 LCC .4 Final LCC Buildings-VHR Input Basic Segmentation Optimzation Level 1 Optimization Level 2 Optimzation Level 3 Classification Building Classification Streets Import LCC .1 LCC .2 LCC .3 LCC .4 Final LCC Buildings-VHR Input Basic Segmentation Optimzation Level 1 Optimization Level 2 Optimzation Level 3 Classification Building Classification Streets Import LCC .1 LCC .2 LCC .3 LCC .4 Final LCC <ul><li>Classification parameter: </li></ul><ul><li>Spectral Attributes </li></ul><ul><li>Shape and area Features </li></ul><ul><li>Neighborhood </li></ul><ul><li>Texture </li></ul><ul><li>Hierarchical Features </li></ul>
  11. 14. Image Analysis Segmentation Classification Aggregation Added-value Analysis Image Input Workflow Buildings SegOpt LCC BType DSM VHR.opt
  12. 15. Landcover Vegetation density [%] Building density Impervious surface [%]
  13. 16. <ul><li>Schrebergarten </li></ul><ul><li>Einzel-/Doppelhausbebauung </li></ul><ul><li>Freistehende Geschossbauten </li></ul><ul><li>Reihenhaus </li></ul><ul><li>Zeilenbebauung </li></ul><ul><li>Offene Blockrandbebauung </li></ul><ul><li>Geschlossene Blockrandbebauung </li></ul><ul><li>Offene Blockbebauung </li></ul><ul><li>Geschlossene Blockbebauung </li></ul><ul><li>Geschossbaukomplexe </li></ul><ul><li>Hallenbebauung </li></ul><ul><li>Punkt-/Scheibenhochhaus </li></ul><ul><li>Mischbebauung </li></ul><ul><li>Shape parameters for classification </li></ul><ul><li>Number of courtyards </li></ul><ul><li>Sealed areas </li></ul><ul><li>Vegetated areas </li></ul><ul><li>Building elevation </li></ul><ul><li>Building levels </li></ul><ul><li>Compactness </li></ul><ul><li>Volume </li></ul><ul><li>Area </li></ul><ul><li>Lenght/Width </li></ul><ul><li>Length of main line </li></ul>Urban Structure Types
  14. 17. Image Analysis Segmentation Classification Aggregation Added-value Analysis Image Input Workflow Buildings SegOpt LCC BType DSM VHR.opt
  15. 18. Case Studies <ul><li>Integration of UST for social sciences </li></ul><ul><li>Neighborhood </li></ul><ul><li>Comparison </li></ul>Individual Household
  16. 19. Case studies <ul><li>Local level: Supportive analyses for district/local heating </li></ul><ul><li>Annual heat demand / development costs </li></ul>Potential for district heating modeled via urban structure Buildings 0.0 – 2.5 [achievable kWh/a per invested €] 2.5 – 5.0 5.0 – 10.0 10.0 – 20.0 > 20
  17. 20. Summary <ul><li>VHR and DSM </li></ul><ul><ul><li>Detailed classification of urban spatial structure </li></ul></ul><ul><li>Urban structure types </li></ul><ul><ul><li>Homogenous areas </li></ul></ul><ul><li>Added-value analyses </li></ul><ul><ul><li>Local heating potentials </li></ul></ul><ul><ul><li>Socioeconomic analysis </li></ul></ul>[email_address]

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