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WorldView 2 Image Sequence

MAPPING NEAR SHORE BATHYMETRY USING WAVE KINEMATICS IN A TIME SERIES OF WORLDVIEW-2 SATELLITE IMAGES Ron Abileah. WorldView 2 Image Sequence. WorldView 2. WKB. WorldView 2. WKB. OSU Jetski. Depth Estimation Objective Function J – Evaluated pixel-by-pixel.

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WorldView 2 Image Sequence

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  1. MAPPING NEAR SHORE BATHYMETRY USING WAVE KINEMATICS IN A TIME SERIES OF WORLDVIEW-2 SATELLITE IMAGESRon Abileah

  2. WorldView 2 Image Sequence IGARSS 2013 Melbourne

  3. WorldView 2 WKB IGARSS 2013 Melbourne

  4. WorldView 2 WKB OSU Jetski IGARSS 2013 Melbourne

  5. Depth Estimation Objective Function J – Evaluated pixel-by-pixel Image 1, propagated forward τ/2 seconds, at depth z Image 2, propagated backward τ/2 seconds, at depth z IGARSS 2013 Melbourne

  6. Objective Function – averaged over area A Noise averaging over area A (e.g., 100m x 100m) IGARSS 2013 Melbourne

  7. Objective Function – averaged over area A and all image pairs in set Noise averaging over area A and all image pairs in IGARSS 2013 Melbourne

  8. Objective Function Minimization demonstrated with 1 image pair, A = 100m x 100m IGARSS 2013 Melbourne

  9. A = 100 x 100 m 7 image pairs IGARSS 2013 Melbourne

  10. A = 100 x 100 m 7 image pairs Truth + tide datum corrected regression IGARSS 2013 Melbourne

  11. IGARSS 2013 Melbourne

  12. IGARSS 2013 Melbourne

  13. A = 100 x 100 m 7 image pairs IGARSS 2013 Melbourne

  14. The ΔT Factor • Depth averaged over distance that waves travel in time interval ΔT. In shallow water limit • Wave refraction IGARSS 2013 Melbourne

  15. Summary • Depth mapping demonstrated at Agate Beach, OR • ΔT = 10 s • 7 image pairs • Haze • Depth accuracy +1m with 100 m resolution • ≤50 m resolution achievable at shallower depths • Possibility for greater depth mapping accuracy • ΔT = 7 s with WV02 • Up to 40 image pairs • Better visibility • WBK method works in turbid waters IGARSS 2013 Melbourne

  16. Acknowledgements Satellite imagery provided by Digital Globe under a data exchange agreement DigitalGlobe's Gregory Miecznik, Dan Lester, and Chuck Chaapel provided much technical assistance throughout this study Jet ski survey funded by Oregon's Department of Geology and Mineral Industries (DOGAMI) and The Northwest Association of Networked Ocean Observing Systems (NANOOS) Peter Ruggiero, Oregon State University, provided the 2012 jet ski survey data IGARSS 2013 Melbourne

  17. Thank you Ron Abileahabileah@jOmegak.com IGARSS 2013 Melbourne

  18. Appendix A Waimanlo Beach IGARSS 2013 Melbourne

  19. WKB vs. SHOALS depths IGARSS 2013 Melbourne

  20. IGARSS 2013 Melbourne

  21. IGARSS 2013 Melbourne

  22. Appendix B Coronado Beach IGARSS 2013 Melbourne

  23. WK Current Before depth can be estimated, WK estimates the ocean surface current. The color scale is Red -1 m/s Green 0 m/s Blue +1 m/s Positive x is to the right; positive y is up. Note strong outward jet at the San Diego Bay inlet. IKONOS image by SpaceImaging. IGARSS 2013 Melbourne

  24. WK Bathymetry WK depths are average values over the area of a tile, 150m x 150m. The color scale is Dark red 5m Dark blue 25m Blank tiles are areas where depth could not be estimated reliably. IKONOS image by SpaceImaging. IGARSS 2013 Melbourne

  25. San Diego bathymetry with IKONOS IGARSS 2013 Melbourne

  26. Appendix C WKB objective function in deep water IGARSS 2013 Melbourne

  27. IGARSS 2013 Melbourne

  28. Appendix DAgate Beach with 1 image pair, 200m x 200 m IGARSS 2013 Melbourne

  29. A = 200 x 200 m 1 image pair IGARSS 2013 Melbourne

  30. A = 200 x 200 m 1 image pair IGARSS 2013 Melbourne

  31. OSU Jet Ski Survey Transects IGARSS 2013 Melbourne

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