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6/14/20161 MAPPING NEAR SHORE BATHYMETRY USING WAVE KINEMATICS IN A TIME SERIES OF WORLDVIEW-2 SATELLITE IMAGES Ron Abileah.

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Presentation on theme: "6/14/20161 MAPPING NEAR SHORE BATHYMETRY USING WAVE KINEMATICS IN A TIME SERIES OF WORLDVIEW-2 SATELLITE IMAGES Ron Abileah."— Presentation transcript:

1 6/14/20161 MAPPING NEAR SHORE BATHYMETRY USING WAVE KINEMATICS IN A TIME SERIES OF WORLDVIEW-2 SATELLITE IMAGES Ron Abileah

2 6/14/2016IGARSS 2013 Melbourne2 WorldView 2 Image Sequence

3 6/14/2016IGARSS 2013 Melbourne3 WKBWorldView 2

4 6/14/2016IGARSS 2013 Melbourne4 WKBWorldView 2OSU Jetski

5 6/14/2016IGARSS 2013 Melbourne5 Image 1, propagated forward τ /2 seconds, at depth z Image 2, propagated backward τ /2 seconds, at depth z Depth Estimation Objective Function J – Evaluated pixel-by-pixel

6 6/14/2016IGARSS 2013 Melbourne6 Noise averaging over area A (e.g., 100m x 100m) Objective Function – averaged over area A

7 6/14/2016IGARSS 2013 Melbourne7 Noise averaging over area A and all image pairs in Objective Function – averaged over area A and all image pairs in set

8 6/14/2016IGARSS 2013 Melbourne8 Objective Function Minimization demonstrated with 1 image pair, A = 100m x 100m

9 6/14/2016IGARSS 2013 Melbourne9 A = 100 x 100 m 7 image pairs

10 6/14/2016IGARSS 2013 Melbourne10 A = 100 x 100 m 7 image pairs Truth + tide datum corrected regression

11 6/14/2016IGARSS 2013 Melbourne11

12 6/14/2016IGARSS 2013 Melbourne12

13 6/14/2016IGARSS 2013 Melbourne13 A = 100 x 100 m 7 image pairs

14 6/14/2016IGARSS 2013 Melbourne14 The ΔT Factor Depth averaged over distance that waves travel in time interval ΔT. In shallow water limit Wave refraction

15 6/14/2016IGARSS 2013 Melbourne15 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

16 6/14/2016IGARSS 2013 Melbourne16 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

17 6/14/2016IGARSS 2013 Melbourne17 Thank you Ron Abileah abileah@jOmegak.com

18 6/14/2016IGARSS 2013 Melbourne18 Appendix A Waimanlo Beach

19 6/14/2016IGARSS 2013 Melbourne19 WKB vs. SHOALS depths

20 6/14/2016IGARSS 2013 Melbourne20

21 6/14/2016IGARSS 2013 Melbourne21

22 6/14/2016IGARSS 2013 Melbourne22 Appendix B Coronado Beach

23 6/14/2016IGARSS 2013 Melbourne23 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. WK Current IKONOS image by SpaceImaging.

24 6/14/2016IGARSS 2013 Melbourne24 WK Bathymetry IKONOS image by SpaceImaging. 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.

25 6/14/2016IGARSS 2013 Melbourne25 San Diego bathymetry with IKONOS

26 6/14/2016IGARSS 2013 Melbourne26 Appendix C WKB objective function in deep water

27 6/14/2016IGARSS 2013 Melbourne27

28 6/14/2016IGARSS 2013 Melbourne28 Appendix D Agate Beach with 1 image pair, 200m x 200 m

29 6/14/2016IGARSS 2013 Melbourne29 A = 200 x 200 m 1 image pair

30 6/14/2016IGARSS 2013 Melbourne30 A = 200 x 200 m 1 image pair

31 6/14/2016IGARSS 2013 Melbourne31 OSU Jet Ski Survey Transects


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