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A simple method for extracting water depth from multispectral satellite imagery in regions of variable bottom type

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doi: 10.1029/2018EA000539
Authors:Geyman, Emily C.; Maloof, Adam C.
Author Affiliations:Primary:
Princeton University, Department of Geosciences, Princeton, NJ, United States
Volume Title:Earth and Space Science
Source:Earth and Space Science, 6(3), p.527-537. Publisher: John Wiley & Sons, Hoboken, NJ, United States. ISSN: 2333-5084
Publication Date:2019
Note:In English. 65 refs.; illus., incl. sketch maps
Summary:Satellite imagery offers an efficient and cost-effective means of estimating water depth in shallow environments. However, traditional empirical algorithms for calculating water depth often are unable to account for varying bottom reflectance, and therefore yield biased estimates for certain benthic environments. We present a simple method that is grounded in the physics of radiative transfer in seawater, but made more robust through the calibration of individual color-to-depth relationships for separate spectral classes. Our cluster-based regression (CBR) algorithm, applied to a portion of the Great Bahama Bank, drastically reduces the geographic structure in the residual and has a mean absolute error of 0.19 m with quantified uncertainties. Our CBR bathymetry is 3-5 times more accurate than existing models and outperforms machine learning protocols at extrapolating beyond the calibration data. Finally, we demonstrate how comparison of CBR with traditional models sensitive to bottom type reveals the characteristic length scales of biosedimentary facies belts. Abstract Copyright (2019), The Authors.
Subjects:Algorithms; Bathymetry; Benthic environment; Calibration; Facies; Imagery; Multispectral analysis; Ocean floors; Reflectance; Remote sensing; Satellite methods; Sea water; Sediment transport; Shallow-water environment; Terrains; Transport; Bahamas; Caribbean region; West Indies
Coordinates:N251000 N251200 E0780010 E0780012
Record ID:852940-13
Copyright Information:GeoRef, Copyright 2020 American Geosciences Institute. Reference includes data from John Wiley & Sons, Chichester, United Kingdom
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