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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
Global urbanisation
Urban spatial structure - Urban diversity
Characterisation of urban landscape for … ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Discrimination of  homogenous  areas on block level    Urban structure types
Landsat Ikonos/DSM Wickop, 1998 and Banzhaf, 2008
Image Analysis Segmentation Classification Aggregation Added-value Analysis Image Input Workflow Buildings SegOpt LCC BType DSM VHR.opt
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
 
Image Analysis Segmentation Classification Aggregation Added-value Analysis Image Input Workflow Buildings SegOpt LCC BType DSM VHR.opt
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
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 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
 
Image Analysis Segmentation Classification Aggregation Added-value Analysis Image Input Workflow Buildings SegOpt LCC BType DSM VHR.opt
Landcover  Vegetation density [%] Building density Impervious surface [%]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Urban Structure Types
Image Analysis Segmentation Classification Aggregation Added-value Analysis Image Input Workflow Buildings SegOpt LCC BType DSM VHR.opt
Case Studies ,[object Object],[object Object],[object Object],Individual Household
Case studies ,[object Object],[object Object],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
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[email_address]

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E Cognition User Summit2009 M Wurm Dlr Structure Types C

  • 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
  • 3. Urban spatial structure - Urban diversity
  • 4.
  • 5. Landsat Ikonos/DSM Wickop, 1998 and Banzhaf, 2008
  • 6. Image Analysis Segmentation Classification Aggregation Added-value Analysis Image Input Workflow Buildings SegOpt LCC BType DSM VHR.opt
  • 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
  • 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
  • 11.
  • 12.  
  • 13.  
  • 14. Image Analysis Segmentation Classification Aggregation Added-value Analysis Image Input Workflow Buildings SegOpt LCC BType DSM VHR.opt
  • 15. Landcover Vegetation density [%] Building density Impervious surface [%]
  • 16.
  • 17. Image Analysis Segmentation Classification Aggregation Added-value Analysis Image Input Workflow Buildings SegOpt LCC BType DSM VHR.opt
  • 18.
  • 19.
  • 20.