Coastal Bathymetry from Hyperspectral Remote Sensing Data: Comparisons with High Resolution Multibeam Bathymetry |
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Authors: | Michelle L. McIntyre David F. Naar Kendall L. Carder Brian T. Donahue David J. Mallinson |
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Affiliation: | (1) College of Marine Science, University of South Florida, 140 7th Avenue South, St. Petersburg, FL 33701, USA;(2) Department of Geology, East Carolina University, Greenville, USA |
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Abstract: | We present a large-scale quantitative test of a hyperspectral remote-sensing reflectance algorithm. We show that coastal bathymetry can be adequately derived through model inversions using data from the Airborne Visible-Infrared Imaging Spectrometer instrument. Data are analyzed from a shore-perpendicular transect 5 km offshore Sarasota, Florida at water depths ranging from 10 m to 15.5 m. Derived bottom depths are compared to a high-resolution multibeam bathymetry survey. Model-derived depths are biased 4.9% shallower than the mean of the multibeam depths with an RMS error of 7.83%. These results suggest that the model performs well for retrieving bottom depths from hyperspectral data in subtropical coastal areas in water depths ranging from 10 m to 15.5 m. |
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Keywords: | hyperspectral bathymetry optics |
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