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1. The study automatically extracted built space from Landsat, Spot, and Ikonos images at 30m, 10m, and 1m resolutions respectively and assessed the accuracy. 2. Urban features and structures were characterized by comparing built surface areas extracted and analyzing built space density and landscape indexes across the three images. 3. The results showed great diversity in attributing pixels to density classes between the high resolution Ikonos image and lower resolution Landsat and Spot images, indicating different urban phenomena are analyzed at different scales.

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

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

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

[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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