Upload
gryta
View
56
Download
0
Embed Size (px)
DESCRIPTION
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. - PowerPoint PPT Presentation
Citation preview
04/22/23 1
MAPPING NEAR SHORE BATHYMETRY USING WAVE
KINEMATICS IN A TIME SERIES OF WORLDVIEW-2 SATELLITE IMAGES
Ron Abileah
04/22/23 IGARSS 2013 Melbourne 2
WorldView 2 Image Sequence
04/22/23 IGARSS 2013 Melbourne 3
WKBWorldView 2
04/22/23 IGARSS 2013 Melbourne 4
WKBWorldView 2 OSU Jetski
04/22/23 IGARSS 2013 Melbourne 5
2, / 2 , / 21 2( , ) ( ( , )) ( ( , ))z zJ x y I x y I x y
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
04/22/23 IGARSS 2013 Melbourne 6
2, / 2 , / 21 2
A( , ) ( ( , )) ( ( , ))z zJ x y I x y I x y
Noise averaging over area A (e.g., 100m x 100m)
Objective Function – averaged over area A
04/22/23 IGARSS 2013 Melbourne 7
2, /2 , /21( , ) ( ( , )) ( ( , ))
N
z zn
AnJ x y I x y I x y
Noise averaging over area A and all image pairs in N
Objective Function – averaged over area A and all image pairs in set N
04/22/23 IGARSS 2013 Melbourne 8
Objective Function Minimization demonstrated with 1 image pair, A = 100m x 100m
04/22/23 IGARSS 2013 Melbourne 9
A = 100 x 100 m7 image pairs
04/22/23 IGARSS 2013 Melbourne 10
A = 100 x 100 m7 image pairs
Truth + tide datum corrected regression
04/22/23 IGARSS 2013 Melbourne 11
04/22/23 IGARSS 2013 Melbourne 12
04/22/23 IGARSS 2013 Melbourne 13
A = 100 x 100 m7 image pairs
04/22/23 IGARSS 2013 Melbourne 14
The ΔT Factor
Depth averaged over distance that waves travel in time interval ΔT. In shallow water limit
Wave refraction
210( ) 9. 1( ) 10( ), 100
mDi stance = T gz s m m
s
04/22/23 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
04/22/23 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
04/22/23 IGARSS 2013 Melbourne 18
Appendix A Waimanlo Beach
04/22/23 IGARSS 2013 Melbourne 19
WKB vs. SHOALS depths
04/22/23 IGARSS 2013 Melbourne 20
04/22/23 IGARSS 2013 Melbourne 21
04/22/23 IGARSS 2013 Melbourne 22
Appendix B Coronado Beach
04/22/23 IGARSS 2013 Melbourne 23
Before depth can be estimated, WK estimates the ocean surface current. The color scale is
Red -1 m/s Green 0 m/sBlue +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.
04/22/23 IGARSS 2013 Melbourne 24
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 5mDark blue 25m
Blank tiles are areas where depth
could not be estimated reliably.
04/22/23 IGARSS 2013 Melbourne 25
San Diego bathymetry with IKONOS
04/22/23 IGARSS 2013 Melbourne 26
Appendix C WKB objective function in
deep water
04/22/23 IGARSS 2013 Melbourne 27
04/22/23 IGARSS 2013 Melbourne 28
Appendix DAgate Beach with 1 image
pair, 200m x 200 m
04/22/23 IGARSS 2013 Melbourne 29
A = 200 x 200 m1 image pair
04/22/23 IGARSS 2013 Melbourne 30
A = 200 x 200 m1 image pair
04/22/23 IGARSS 2013 Melbourne 31
OSU Jet Ski Survey
Transects