HCNSO Student Theses and Dissertations

Copyright Statement

All rights reserved. This publication is intended for use solely by faculty, students, and staff of Nova Southeastern University. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, now known or later developed, including but not limited to photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author or the publisher.

Defense Date


Document Type

Thesis - NSU Access Only

Degree Name

M.S. Marine Environmental Sciences


Oceanographic Center

First Advisor

Sam Purkis

Second Advisor

Bernhard Riegl


It was the focus of this manuscript to use passive optical remote sensing to classify the benthic facies of a large study area such as the southeastern Arabian Gulf. Landsat TM and Quickbird sensors were also evaluated for the determination of benthic facies. Spatial distributions were further examined from the classified image to study facies patterns. It was found that Landsat TM sensors could be used to accurately classify benthos of a large study area such as the southeastern Arabian Gulf if sufficient ground control data was available. This was determined by using both the unsupervised and supervised classification techniques in the ENVI 4.1 program. When discussing the issue of scale in relevance to classification for small areas considered in isolation (i.e. Butina Island), the Landsat TM sensor returned classification results comparable to those obtained with a higher spatial resolution (Quickbird sensors). By using the classification results from the southeastern Arabian Gulf, the patch frequency of the facies concluded that patch frequency and area were inversely related, with smaller areas being more common and larger areas rare. The data showed a linear relationship on log-log plots and therefore could be termed a power function. Due to the linear relationship, perhaps patch frequency and area follow a power function.

To access this thesis/dissertation you must have a valid nova.edu OR mynsu.nova.edu email address and create an account for NSUWorks.

Free My Thesis

If you are the author of this work and would like to grant permission to make it openly accessible to all, please click the Free My Thesis button.

  Link to NovaCat