Mapping of sea bottom features using high resolution satellite data

Satellite remote sensing techniques have been found to be useful in many areas of applications. This thesis reports on a study using high resolution satellite imageries for mapping of different sea bottom features in tropical waters of Sibu Island and Merambong, Malaysia. The satellite data used for...

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Main Author:	Yahya, Nurul Nadiah
Format:	Thesis
Language:	English
Published:	2012
Subjects:	TL Motor vehicles Aeronautics Astronautics
Online Access:	http://eprints.utm.my/id/eprint/26868/1/NurulNadiahYahyaMFGHT2012.pdf
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id	my-utm-ep.26868
record_format	uketd_dc
spelling	my-utm-ep.268682017-09-25T04:56:53Z Mapping of sea bottom features using high resolution satellite data 2012-11 Yahya, Nurul Nadiah TL Motor vehicles. Aeronautics. Astronautics Satellite remote sensing techniques have been found to be useful in many areas of applications. This thesis reports on a study using high resolution satellite imageries for mapping of different sea bottom features in tropical waters of Sibu Island and Merambong, Malaysia. The satellite data used for Sibu Island are ALOS AVNIR-2, Quickbird and Landsat-5 TM data, while the satellite data for Merambong is ALOS AVNIR-2 data. Two techniques, namely the depth invariant index and bottom reflectance index were applied in order to map different types of sea bottom features. The depth invariant index technique was derived from the measured radiance, deep water radiance and ratio of attenuation coefficients. However, the bottom reflectance index technique used the measured radiance together with water depths and attenuation coefficients. The sea truth data were used to verify the existence of particular sea bottom features. A direct comparison of overall accuracy, kappa coefficient and Tau coefficient between both techniques revealed that depth invariant index technique using Quickbird satellite data provides accurate mapping for Sibu Island which are 85%, 0.78 and 0.79 respectively while bottom reflectance index technique using ALOS AVNIR-2 data gives better results for Merambong which are 85%, 0.30 and 0.30 respectively. Based on the accuracy of both techniques, it can be concluded that different technique is suitable for different water conditions. The waters in Merambong can be classified as moderately clear and the sea bottom cannot be seen directly from the boat unless it is low tide since the sea bottom is covered by mud and dark sand. The waters in Sibu Island can be classified as clear and the sea bottom can directly be seen from the boat for shallow waters. It can be concluded that depth invariant index technique is suitable for clear waters while bottom reflectance index is suitable for areas with moderate clear waters. 2012-11 Thesis http://eprints.utm.my/id/eprint/26868/ http://eprints.utm.my/id/eprint/26868/1/NurulNadiahYahyaMFGHT2012.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate Faculty of Geoinformation Science and Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TL Motor vehicles Aeronautics Astronautics
spellingShingle	TL Motor vehicles Aeronautics Astronautics Yahya, Nurul Nadiah Mapping of sea bottom features using high resolution satellite data
description	Satellite remote sensing techniques have been found to be useful in many areas of applications. This thesis reports on a study using high resolution satellite imageries for mapping of different sea bottom features in tropical waters of Sibu Island and Merambong, Malaysia. The satellite data used for Sibu Island are ALOS AVNIR-2, Quickbird and Landsat-5 TM data, while the satellite data for Merambong is ALOS AVNIR-2 data. Two techniques, namely the depth invariant index and bottom reflectance index were applied in order to map different types of sea bottom features. The depth invariant index technique was derived from the measured radiance, deep water radiance and ratio of attenuation coefficients. However, the bottom reflectance index technique used the measured radiance together with water depths and attenuation coefficients. The sea truth data were used to verify the existence of particular sea bottom features. A direct comparison of overall accuracy, kappa coefficient and Tau coefficient between both techniques revealed that depth invariant index technique using Quickbird satellite data provides accurate mapping for Sibu Island which are 85%, 0.78 and 0.79 respectively while bottom reflectance index technique using ALOS AVNIR-2 data gives better results for Merambong which are 85%, 0.30 and 0.30 respectively. Based on the accuracy of both techniques, it can be concluded that different technique is suitable for different water conditions. The waters in Merambong can be classified as moderately clear and the sea bottom cannot be seen directly from the boat unless it is low tide since the sea bottom is covered by mud and dark sand. The waters in Sibu Island can be classified as clear and the sea bottom can directly be seen from the boat for shallow waters. It can be concluded that depth invariant index technique is suitable for clear waters while bottom reflectance index is suitable for areas with moderate clear waters.
format	Thesis
qualification_level	Master's degree
author	Yahya, Nurul Nadiah
author_facet	Yahya, Nurul Nadiah
author_sort	Yahya, Nurul Nadiah
title	Mapping of sea bottom features using high resolution satellite data
title_short	Mapping of sea bottom features using high resolution satellite data
title_full	Mapping of sea bottom features using high resolution satellite data
title_fullStr	Mapping of sea bottom features using high resolution satellite data
title_full_unstemmed	Mapping of sea bottom features using high resolution satellite data
title_sort	mapping of sea bottom features using high resolution satellite data
granting_institution	Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate
granting_department	Faculty of Geoinformation Science and Engineering
publishDate	2012
url	http://eprints.utm.my/id/eprint/26868/1/NurulNadiahYahyaMFGHT2012.pdf
_version_	1747815530305159168

Mapping of sea bottom features using high resolution satellite data

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