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REMOTE SENSING  AND  URBAN ANALYSIS  A. Bianchin, L. Bravin  GEDDeS Laboratory – Planning Department  University IUAV of  Venice
Urban Analysis ,[object Object],[object Object],[object Object],[object Object]
Processing Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Processing Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Analist must  ,[object Object],[object Object],[object Object],[object Object]
Case study  Urban Phenomena at different scale ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
EXTRACTION OF BUILT SPACE ,[object Object],[object Object],[object Object],[object Object],[object Object]
LANDSAT ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SPOT_PAN ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
PROCEDURE ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
IKONOS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
IMAGES Landsat7 ETM+,  Spatial resolution 30 m R:4;G:3,B:2 SPOT 4  Spatial resolution 10 m  PAN IKONOS Spatial resolution 1 m R:4;G:3,B:2
BUILT SURFACES Landsat 7 Spatial resolution 30 m SPOT 4 Spatial resolution 10 m IKONOS Spatial resolution 1 m
ACCURACY ASSESSMENT ,[object Object],[object Object],[object Object]
Landsat  OverallAccuracy  354/400=88,5% Spot  OverallAccuracy  340/400=85,00% IKONOS OverallAccuracy  363/400=90,75%
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],ANALYSIS TECHNIQUES CHARACTERIZING URBAN SPACE
IKONOS_5  IKONOS_10
1.  BUILT AREA SURFACE
RESULTS ,[object Object],[object Object],[object Object],[object Object]
2.  DENSITY FUNCTION ,[object Object],[object Object],[object Object],[object Object],[object Object]
DENSITY FUNCTION ,[object Object],IKONOS Built space density classes over 5 images
RESULTS   ,[object Object],[object Object],[object Object],[object Object]
DENSITY FUNCTION  - CROSS TABLES   ,[object Object],[object Object]
In blue  : Distribution of each density class of Spot into IKONOS classes.  (percentage values) In pink:  Distribution of each density class of IKONOS into Spot classes  (percentage values) Cross table   Graphic representation of cross table
RESULTS ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],DENSITY FUNCTION - CONCLUSIONS
3. LANDSCAPE INDEXES ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],landscapes with few regions landscapes with several regions
WORKING  STEPS  ,[object Object],[object Object],[object Object],[object Object]
  Five sub-areas   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
1_compact core; 2_suburban area;  3_connection area; 4_scattered settlements;  5_ industrial area
Study Area Indexes for the 5 sub-areas 1-2 Concentrated urban areas: uniform and compact in Landsat and Spot; a dense set of single elements in IKONOS.   3-4  Fragmented areas are represented by numerous patches spread over the territory whose minimum size is defined by pixel size. 5  Representation of industrial area similar over scales, shaped into a set of medium-wide sized patches
[object Object],[object Object],[object Object],LANDSCAPE STATISTICS - CONCLUSION
CONCLUSIONS ,[object Object],[object Object],[object Object],[object Object],[object Object]

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Bianchin

  • 1. REMOTE SENSING AND URBAN ANALYSIS A. Bianchin, L. Bravin GEDDeS Laboratory – Planning Department University IUAV of Venice
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  • 13. IMAGES Landsat7 ETM+, Spatial resolution 30 m R:4;G:3,B:2 SPOT 4 Spatial resolution 10 m PAN IKONOS Spatial resolution 1 m R:4;G:3,B:2
  • 14. BUILT SURFACES Landsat 7 Spatial resolution 30 m SPOT 4 Spatial resolution 10 m IKONOS Spatial resolution 1 m
  • 15.
  • 16. Landsat OverallAccuracy 354/400=88,5% Spot OverallAccuracy 340/400=85,00% IKONOS OverallAccuracy 363/400=90,75%
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  • 19. 1. BUILT AREA SURFACE
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  • 25. In blue : Distribution of each density class of Spot into IKONOS classes. (percentage values) In pink: Distribution of each density class of IKONOS into Spot classes (percentage values) Cross table Graphic representation of cross table
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  • 31. 1_compact core; 2_suburban area; 3_connection area; 4_scattered settlements; 5_ industrial area
  • 32. Study Area Indexes for the 5 sub-areas 1-2 Concentrated urban areas: uniform and compact in Landsat and Spot; a dense set of single elements in IKONOS. 3-4 Fragmented areas are represented by numerous patches spread over the territory whose minimum size is defined by pixel size. 5 Representation of industrial area similar over scales, shaped into a set of medium-wide sized patches
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