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MAPPING NEAR SHORE BATHYMETRY USING WAVE KINEMATICS IN A TIME SERIES OF WORLDVIEW-2 SATELLITE IMAGES Ron Abileah 2/25/2019.

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Presentation on theme: "MAPPING NEAR SHORE BATHYMETRY USING WAVE KINEMATICS IN A TIME SERIES OF WORLDVIEW-2 SATELLITE IMAGES Ron Abileah 2/25/2019."— Presentation transcript:

1 MAPPING NEAR SHORE BATHYMETRY USING WAVE KINEMATICS IN A TIME SERIES OF WORLDVIEW-2 SATELLITE IMAGES Ron Abileah 2/25/2019

2 WorldView 2 Image Sequence
2/25/2019 IGARSS 2013 Melbourne

3 WorldView 2 WKB 2/25/2019 IGARSS 2013 Melbourne

4 WorldView 2 WKB OSU Jetski 2/25/2019 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 2/25/2019 IGARSS 2013 Melbourne

6 Objective Function – averaged over area A
Noise averaging over area A (e.g., 100m x 100m) 2/25/2019 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 2/25/2019 IGARSS 2013 Melbourne

8 Objective Function Minimization demonstrated with 1 image pair, A = 100m x 100m
2/25/2019 IGARSS 2013 Melbourne

9 A = 100 x 100 m 7 image pairs 2/25/2019 IGARSS 2013 Melbourne

10 A = 100 x 100 m 7 image pairs Truth + tide datum corrected regression
2/25/2019 IGARSS 2013 Melbourne

11 2/25/2019 IGARSS 2013 Melbourne

12 2/25/2019 IGARSS 2013 Melbourne

13 A = 100 x 100 m 7 image pairs 2/25/2019 IGARSS 2013 Melbourne

14 The ΔT Factor Depth averaged over distance that waves travel in time interval ΔT. In shallow water limit Wave refraction 2/25/2019 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 2/25/2019 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 2/25/2019 IGARSS 2013 Melbourne

17 Thank you Ron Abileah abileah@jOmegak.com
2/25/2019 IGARSS 2013 Melbourne

18 Appendix A Waimanlo Beach
2/25/2019 IGARSS 2013 Melbourne

19 WKB vs. SHOALS depths 2/25/2019 IGARSS 2013 Melbourne

20 2/25/2019 IGARSS 2013 Melbourne

21 2/25/2019 IGARSS 2013 Melbourne

22 Appendix B Coronado Beach
2/25/2019 IGARSS 2013 Melbourne

23 WK Current 2/25/2019 IGARSS 2013 Melbourne
Before depth can be estimated, WK estimates the ocean surface current. The color scale is Red 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. 2/25/2019 IGARSS 2013 Melbourne

24 WK Bathymetry 2/25/2019 IGARSS 2013 Melbourne
WK depths are average values over the area of a tile, 150m x 150m. The color scale is Dark red m Dark blue 25m Blank tiles are areas where depth could not be estimated reliably. IKONOS image by SpaceImaging. 2/25/2019 IGARSS 2013 Melbourne

25 San Diego bathymetry with IKONOS
2/25/2019 IGARSS 2013 Melbourne

26 Appendix C WKB objective function in deep water
2/25/2019 IGARSS 2013 Melbourne

27 2/25/2019 IGARSS 2013 Melbourne

28 Appendix D Agate Beach with 1 image pair, 200m x 200 m
2/25/2019 IGARSS 2013 Melbourne

29 A = 200 x 200 m 1 image pair 2/25/2019 IGARSS 2013 Melbourne

30 A = 200 x 200 m 1 image pair 2/25/2019 IGARSS 2013 Melbourne

31 OSU Jet Ski Survey Transects
2/25/2019 IGARSS 2013 Melbourne

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