Marine Science Faculty Publications
Coastal Bathymetry from Hyperspectral Remote Sensing Data: Comparisons with High Resolution Multibeam Bathymetry
Document Type
Article
Publication Date
2006
Keywords
hyperspectral, bathymetry, optics
Digital Object Identifier (DOI)
https://doi.org/10.1007/s11001-005-0266-y
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.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Marine Geophysical Researches, v. 27, p. 129-136
Scholar Commons Citation
McIntyre, Michelle L.; Naar, David F.; Carder, Kendall L.; Donahue, Brian T.; and Mallinson, David J., "Coastal Bathymetry from Hyperspectral Remote Sensing Data: Comparisons with High Resolution Multibeam Bathymetry" (2006). Marine Science Faculty Publications. 2225.
https://digitalcommons.usf.edu/msc_facpub/2225
