Bathymetry from hyperspectral imagery
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Authors
Stuffle, L. Douglas.
Subjects
Hyperspectral
Visible
Imagery
Bathymetry
HYDICE
MODTRAN 3.5
HYDROLIGHT 3.0
Visible
Imagery
Bathymetry
HYDICE
MODTRAN 3.5
HYDROLIGHT 3.0
Advisors
Olsen, Richard Christopher
Garfield, Newell
Date of Issue
1996-12
Date
December 1996
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
This work used hyperspectral imagery to derive shallow water depth estimates. A technique to classify substrates and estimate reflectance values for the substrate types is the major contributions of this work. This was accomplished by masking different bottom types based on spectra, effects that were not included in previous methods. HYDICE data was taken over Lake Tahoe on June 22, 1995. The high altitude of the lake provided a low aerosol content within the atmosphere. This allowed for relatively straight forward atmospheric corrections. This was substantially easier than in an oceanic environment. The atmospheric radiative transfer code MODTRAN3.O was used to model the atmospheric conditions at the time of the experiment. The radiative transfer code HYDROLIGHT3.5 was used to model the attenuation coefficients of the relatively clear water of the lake. Minimal river input and low chlorophyll concentrations made it simpler to determine these values. Making use of the full spectral content of data within the optical range, multiple substrates were differentiated and masked off. This allowed for an estimation on wet substrate reflectance and a straight forward calculation of bottom depth.
Type
Thesis
Description
Series/Report No
Department
Physics
Organization
Naval Postgraduate School
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.