1. EPRU, CPSV, UPC Barcelona, Spain The Use of Remote Sensing to Describe Residential Densities Structures in Urban Land Use Remote Sensing application of Spot5 Imagery on the metropolitan area of Barcelona Edit by: BAHAAEDDINE I Z ALHADDAD 10. October 2007 PhD Researcher. Urban Management and Valuation. bahaa.alhaddad@upc.edu 26th Urban Data Management Symposium, Stuttgart, Germany October 10-12, 2007

2. An Overview... Land use classification process plays an important role in urban study. Spot 5 could provide enough details information for urban mapping and hence, it also presents more complex scene of urban areas. This study is to take the advantage of Texture and Segmentation Analysis appearance in Standard Imagery produced from Spot 5 for describe residential structure densities in the final classification result. 12 3 3 26th Urban Data Management Symposium Stuttgart, Germany. October 10-12, 2007

3. Problems and Currently Approaches to Image Classification… The error of classification area caused by similar reflection (wave length) of different element inside the satellite image such as Residential urban areas and irrigated lands. At Spot5 low resolution image The small elements such as Discontinuous Sparse Urban area are covered with other big categories. Problem No.1 Problem No.2 Spot5 2.5m Spot5 10m 26th Urban Data Management Symposium Stuttgart, Germany. October 10-12, 2007

4. THINK BIG 26th Urban Data Management Symposium Stuttgart, Germany. October 10-12, 2007 Problems and Currently Approaches to Image Classification…

5. Residential Industrial Forest Water … etc General Land Use classification image Image Processing SPOT Satellite images low & high resolution Spot 10m Spot 2.5m Correction High Resolution Image 2.5m Low Resolution Image 10m Texture Shadow Analysis Texture Boundary Analysis 26th Urban Data Management Symposium Stuttgart, Germany. October 10-12, 2007 Problems and Currently Approaches to Image Classification…

6. Shadow Analysis … “For High Resolution image” How it works …?! Apply FFT Filter Extraction of Shadow area TASK 1 K-Mean and Morphology filter Converting to Vector data Before After Work with GIS applications Extraction Urban Area “Applying the Mask” + Shadow layerResidential layerBoth Query Use it as Mask for R.S. applications for extracting the Residential area. Irrigated Field Have no shadow Before Correction Without correction AddOverlayExtraction Mask layerClassification dataBothClean Urban Area Irrigated Fields Have similar color of urban area Irrigated Fields Are not allowed Correct the classification error Irrigated Fields With error Correct Overlay Correct Irrigated Fields Final result After Correction With correction 26th Urban Data Management Symposium Stuttgart, Germany. October 10-12, 2007

7. SPOT5 Madrid, 10m Texture Boundar Analysis How it works …?! The Concept... Without correction Applying Filter & work with color table... Before After Take-Off Data Change & Overlay... IT’S OVER Overlying (FC 10m, B&W 2.5) 10m 2.5m Texture Analysis, Take-Off Data & Re-classification Overlay Correct classification result IT’S OVER TASK 2 Texture Boundary Analysis … “For Low Resolution image”

8. THE IDEA... !? Residential Urban fabric Density 26th Urban Data Management Symposium Stuttgart, Germany. October 10-12, 2007 Construction + non Construction area Classification result Residential + Construction + non Construction area Density Slide Segmentation % Construction area % Non-construction area % Residential urban fabric Residential Urban fabric Density Buffer Zone 10m 20m 200m

9. Data Extraction and Residential Density Parameters 26th Urban Data Management Symposium Stuttgart, Germany. October 10-12, 2007 Residential Urban Fabric.. Construction area (Industrial, Commercial and street, etc) Non construction area (Forest, Agriculture, Irrigated field. etc) 10m buffer applied around the Residential area 1 20m buffer applied around the Residential area with merged categories. 2 1 2 If RA > 50% in 10m BZ and CA > 80% in 20m BZ then RA= HD Residential Continues High Density Urban Fabric

10. Data Extraction and Residential Density Parameters 26th Urban Data Management Symposium Stuttgart, Germany. October 10-12, 2007 Residential Urban Fabric.. Construction area (Industrial, Commercial and street, etc) Non construction area (Forest, Agriculture, Irrigated field. etc) If RA 80% in 20m BZ then RA= MD 10m buffer applied around the Residential area 1 20m buffer applied around the Residential area with merged categories. 2 1 2 Residential Continues Medium Density urban fabric

11. Data Extraction and Residential Density Parameters 26th Urban Data Management Symposium Stuttgart, Germany. October 10-12, 2007 Residential Urban Fabric.. Construction area (Industrial, Commercial and street, etc) Non construction area (Forest, Agriculture, Irrigated field. etc) (*) If 10% < CA < 50% in 200m BZ then RA= DSA 200m buffer applied around the Residential area with merged categories. Residential Discontinues Spars urban fabric * Residential Discontinues urban fabric ** (**) If 50% < CA < 80% in 200m BZ then RA= DA

12. Finally... Overall ACCURACY = (# pixels correctly classified) / (Total # of pixels) = 88.6213% 26th Urban Data Management Symposium Stuttgart, Germany. October 10-12, 2007

13. THANK YOU FOR YOUR ATTENTION! BAHAAEDDINE I Z ALHADDAD bahaa.alhaddad@upc.edu 26th Urban Data Management Symposium Stuttgart, Germany. October 10-12, 2007