Bathymetry from Hyperspectral Sensors: A Preliminary Analysis of the Problem
Abstract
Water depth, bottom reflectance, inherent optical properties of the water column (scattering, absorption, and fluorescence), and illumination conditions combine to determine the upwelling spectral radiance of coastal waters. If these complex optical relationships could be quantified, it would be possible to extract coastal information from spectral radiance data. We use data from the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) to begin to characterize these relationships as a first step toward development of algorithms for retrieval of water depth from hyperspectral imagery. Data are analyzed for two areas: the western coast of Florida in the Tampa Bay area and the Florida Keys between Upper Matecumbe and Plantation Keys. A neural network approach has been used to demonstrate retrieval of reasonable depths from spectral radiance over a depth range of 0 to 6 m. The ability of the neural network to generalize, producing algorithms with some degree of universality among diverse coastal environments, has been investigated in a preliminary fashion.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 20, 1999
- Accession Number
- ADA365138
Entities
People
- Juanita C. Sandidge
- Ronald J. Holyer
Organizations
- United States Naval Research Laboratory