Record Details

Bottom Characterization from Hyperspectral Image Data

ScholarsArchive at Oregon State University

Field Value
Title Bottom Characterization from Hyperspectral Image Data
Names Philpot, William (creator)
Davis, Curtiss O. (creator)
Bissett, W. Paul (creator)
Mobley, Curtis D. (creator)
Kohler, David D. R. (creator)
Lee, Zhongping (creator)
Bowles, Jeffrey (creator)
Steward, Robert G. (creator)
Agrawal, Yogesh (creator)
Trowbridge, John (creator)
Gould, Richard W. Jr. (creator)
Arnone, Robert A. (creator)
Date Issued 2004-06 (iso8601)
Note This is the publisher’s final pdf. The published article is copyrighted by Oceanography Society and can be found at: http://www.tos.org/.
Abstract In optically shallow waters, i.e., when the bottom is visible through the water,
a tantalizing variety and level of detail about bottom characteristics are
apparent in aerial imagery (Figure 1a). Some information is relatively easy to
extract from true color, 3-band imagery (e.g., the presence and extent of submerged
vegetation), but if more precise information is desired (e.g. the species
of vegetation), spatial and spectral detail become crucial. That such information
is present in hyperspectral1 imagery is clear from Figure 1b, which illustrates the
Remote Sensing Refl ectance spectra for several selected points in the image. Spectral
discrimination among bottom types will be greatest in shallow, clear water and will decrease
as the depth increases and as the optical water quality degrades. Discrimination
can also be complicated by the presence of vertical structure in the optical properties of the
water, or even if there is a layer of suspended material near the bottom (see Box on opposite
page). Despite these diffi culties, bottom characterization over the range of depths accessible to
remote sensing is important since it corresponds to a signifi cant portion of the photic zone in
coastal waters. Mapping bottom types at these depths is useful for applications related to habitat,
shipping and recreation. The purpose of this paper is to present the issues affecting bottom characterization
and to describe various methods now in use. Given space limitations, we refer the reader
to the references for results and examples of bottom type maps.
Genre Article
Identifier Philpot, W., Davis, C. O., Bissett, W. P., Mobley, C. D. Kohler, D. D. R., Lee, Z., & Bowles, J. ... (2004, June). Bottom Characterization from Hyperspectral Image Data. Oceanography, 17(2), 76-85. doi:10.5670/oceanog.2004.50

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