
Proceedings Paper
WorldView-2 bathymetric capabilitiesFormat | Member Price | Non-Member Price |
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Paper Abstract
The capability of the WorldView-2 (WV02) satellite is analyzed for bathymetric applications in shallow coastal
waters. We use an Optimal Estimation method, which provides lower bounds on retrievals errors for an idealized
sensor and idealized model of the environment. Retrieval performance is studied over different substrates and
column water properties. We also study effects of increased signal to noise ratio. This analysis is supported by
numerical inversion of imagery, using a variant of a least-square optimization. Results from 4 different study areas
collected across a few sites in clear Case 1 and Case 2 waters show that the water depth can be realistically
measured on a pixel-by-pixel basis with 10% standard deviation of the error, down to nearly 20 meters depth in Case
1 waters over bright sandy bottom. The same accuracy over dark sea grass or coral is valid down to 10 meters,
assuming that reliable a priori substrate albedo is available. Water turbidity has an important effect on retrievals -
Case 2 water with small concentrations of suspended solids allows for 10% accuracy down to 10 meters over bright
targets. The retrieval accuracy is likely to improve with tighter a priori constrains, constraints obtained from the
context of entire image, or independent information from multiple stereo pairs collected in a single WV02 pass.
Paper Details
Date Published: 24 May 2012
PDF: 10 pages
Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 83901J (24 May 2012); doi: 10.1117/12.919342
Published in SPIE Proceedings Vol. 8390:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)
PDF: 10 pages
Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 83901J (24 May 2012); doi: 10.1117/12.919342
Show Author Affiliations
Grzegorz Miecznik, DigitalGlobe, Inc. (United States)
Dorota Grabowska, Univ. of Washington (United States)
Published in SPIE Proceedings Vol. 8390:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)
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