Change Detection Dubai

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Change Detection Dubai

  1. 1. AG2416 Advanced Remote Sensing Session 1, Spring 2013 Change Detection on Dubai 1987 - 2010 http://www.ssqq.com/archive/images/dubai20%20tower.jpghttp://blog.friendlyplanet.com/media/Camels-at-Jebel-Ali-beach-Dubai-iStock-5011247.jpg Adrian C Prelipcean Ipsit Dash
  2. 2. Flow of Presentation• Why Dubai?• What Changed from 1987 – 2010?• Which Data?• What Methods?• What Results? 2
  3. 3. Financially Strong Dubaibacked by Oil 2006Resources Landsat 7 ETM+; 28.5 mLies in Arabian Desert Area-Sandy and Gravel Desert, Wellknown for frequent Dunesrunning N-S due to Salt Crusted 1990 Landsat 4Coastal Plains TM; 28.5 mMega Project City-(Offshore)~ Palm Islands 1973~ The World Landsat(Inland) 1 MSS; 57 m~Business Bay~ Burj Khalifha http://earthobservatory.nasa.gov/IOTD/view.ph p?id=7153~ Dubai Waterfront 3
  4. 4. Changes• Huge Real Estate Changes involving Mega Projects• Transport Network and Urbanization changed.• Creation of offshore projects like Palm Jumeriah, The World• Our Work bases on change detection in Offshore Projects from 1987 - 2010 4
  5. 5. The PALM JEBEL ALI The PALM JUMERIAH The WORLD The PALM DEIRA Dubai 2012 5http://citizenfable.files.wordpress.com/2012/11/dubai_masterplan.jpg
  6. 6. Change Detection – Remote Sensing• The change must be detectable in the Imagery• Describing ChangeAbrupt vs Subtle Real vs Detected Natural vs Artificial Interesting vs UninterestingUninteresting Changes• Phenological Changes – Seasonal Variations• Sun angle effects – Radiometric calibration – Same period while acquiring images• Atmospheric effects – Radiometric calibration• Geometric – Ensure highly accurate registration 6
  7. 7. Flow Plan • Image Differencing • Image Rationing OutputInput~ 1987 Imagery • Change Vector Analysis ~ Differenced Imagery~ 2010 Imagery ~ Rationed Imagery ~ CVA Imagery ~ Accuracy Assessment 7
  8. 8. Data and its characteristicsLandsat Imagery TM 4-5Procesing Softwares 8
  9. 9. Feature Gray- False Color, or Best scale NIR Band (black and white) Selecting the Bands Clear Water Black Black 4 tone Band TM Silty Water 2, 4 Dark in 4 Bluish Nonforested Dark gray Blocky pinks, 1 .45-.52 µm blueCoastal Wetlands tone reds, blues, 2 .52-.6 µm green between blacks 3 .63-.69 µm red 4 black water and 4 .76-.9 µm NIR light gray 5 1.55-1.75 µm SWIR land 6 10.4-12.5 µm TIRSand and Beaches Bright in White, bluish, 7 2.08-2.35 µm SWIR 2, 3 all bands light buff Urban Areas: Usually Mottled bluish- light gray with Band 2: Green light penetrates clear water fairly well, and gives excellent tones in whitish and 3, 4 contrast between clear and turbid (muddy) water. It helps find oil on the 3, reddish specks surface of water, and vegetation (plant life) reflects more green light than any other visible color. Manmade features are still visible. Commercial dark in 4 Band 3: Red light has limited water penetration. It reflects well from dead Urban Areas: Mottled Pinkish to foliage, but not well from live foliage with chlorophyll. It is useful for gray, reddish 3, 4 street identifying vegetation types, soils, and urban features. Residential patterns Band 4: Near IR is good for mapping shorelines and biomass content. It is visible very good at detecting and analyzing vegetation. Transportation Linear Band 7: Another short wavelength infrared has limited cloud penetration patterns; and provides good contrast between different types of vegetation. It is also dirt and useful to measure the moisture content of soil and vegetation concrete 3, 4 roads light in 3, asphalt dark in 4. Source: http://zulu.ssc.nasa.gov/mrsid/tutorial/Landsat%20Tutorial-V1.html 9
  10. 10. Image normalization• The relative correction aims to reduce variation among multiple images by adjusting the target image (the bands from 1987) to match the base image (the bands from 2010) i.e. to normalize the target image with respect to the base image.• We used the pseudo invariant feature (PIFs) in PCI Geomatica for this. 10
  11. 11. Image normalization X Y Slope Intercept R Band 1 -1987 Band 1 -2010 0.53 12.51 0.97 Band 2 -1987 Band 2 -2010 0.54 5.16 0.97 Band 3 -1987 Band 3 -2010 0.57 2.53 0.97 Band 4 -1987 Band 4 -2010 0.64 0.22 0.97 Band 5 -1987 Band 5 -2010 0.57 -0.01 0.96 Band 6 -1987 Band 6 -2010 0.42 66.15 0.98 Band 7 -1987 Band 7 -2010 0.55 0.23 0.96 11
  12. 12. Image differencing• Pros: – Simple – Straightforward – Easy to interpret• Cons: – Cannot provide a detailed change matrix – The difficulty in selecting suitable thresholds to identify the changed areas – Requires atmospheric calibration so that the “no- change” value is equal to 0 – Have to worry about selecting suitable image bands 12
  13. 13. Image differencing 13
  14. 14. Image differencing 14
  15. 15. Image rationing• Pros: – Simple – Reduces impacts of the sun angle, shadow and topography• Cons: – Cannot provide a detailed change matrix – Scales change according to a single date, so same change on the ground may have different score depending on direction of change – Non-normal distribution of the result is often criticized – The difficulty in selecting suitable thresholds to identify the changed areas – Have to worry about selecting suitable image bands 15
  16. 16. Image rationing 16
  17. 17. Change Vector Analysis 17
  18. 18. Results – Image Differencing Band 3 Band 4 Band 7Band 2 Threshold Threshold ThresholdThreshold Imagery Imagery ImageryImagery 18
  19. 19. Band 4 19
  20. 20. Difference Imagery FCC Absolute Difference Band 4,3,2 20
  21. 21. Results- Image RationingBand 2 Band 3 Band 4 Band 7Threshold Imagery Threshold Imagery Threshold Imagery Threshold Imagery 21
  22. 22. Band 4 22
  23. 23. Rationed Imagery FCC Ratio band 4,3,2 23
  24. 24. Change Vector Analysis 24
  25. 25. References• Introductory Digital Image Processing: A Remote Sensing Perspective – John R. Jensen (Third Edition 2005)• Change detection techniques - D. Lu, P. Mausel, E. Brondi’Zio and E. Moran• Geographic Resources Decision Support System for land use, land cover dynamics analysis - T. V. Ramachandra, Uttam Kumar• http://zulu.ssc.nasa.gov/mrsid/tutorial/Landsat%20Tutorial-V1.html 25

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