Assessment of Satellite Derived Bathymetry from Spot 7 satellite imagery / Hanim Fazira Abd Hamid

Bathymetry is the measurement of water depth in oceans, rivers, or lakes. Nowadays, the measurement of water depth also can be estimated by using remotely sensed satellite imagery which is known as Satellite Derived Bathymetry (SDB). Water depth from SDB estimation is based on in-Situ data and can b...

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Main Author:	Abd Hamid, Hanim Fazira
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Aerial geography Geographic information systems Malaysia Geomatics
Online Access:	https://ir.uitm.edu.my/id/eprint/30834/2/30834.pdf
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id	my-uitm-ir.30834
record_format	uketd_dc
spelling	my-uitm-ir.308342022-12-06T03:19:50Z Assessment of Satellite Derived Bathymetry from Spot 7 satellite imagery / Hanim Fazira Abd Hamid 2020 Abd Hamid, Hanim Fazira Aerial geography Geographic information systems Malaysia Geomatics Bathymetry is the measurement of water depth in oceans, rivers, or lakes. Nowadays, the measurement of water depth also can be estimated by using remotely sensed satellite imagery which is known as Satellite Derived Bathymetry (SDB). Water depth from SDB estimation is based on in-Situ data and can be used to make navigation. Thus, the aim of this study is to assess the estimated near-shore water depth using Spot 7 satellite imagery with In-Situ measurement at Sungai Dinding, Lumut Perak. The objectives are (1) to estimate water depth from Spot 7 satellite image using Ratio Transformation Algorithm and (2) to assess estimated water depth with In-Situ data measurement. In this study, Ratio Algorithm was applied on spectral band blue, green and NIR to estimate SDB and the in-Situ data of hydrgraphic work of Sungai Dinding was used to assess the estimated water depth from SDB. The strong correlation was found between SDB and in situ measurement from 1.0 to 12.0 meters with the value of 0.768. The assessments of SDB were determined from Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) with the value of 0.6573 and 0.5884 respectively. Based on the finding, the ratio method can be used to estimate water depth from SPOT 7 ranging from 1.0 to 9.0m at Sungai Dinding. Overall the finding of this research shown that high spatial resolution of a remotely sensed image such as Spot-7 can potentially be used to estimate water depth in SDB approach. 2020 Thesis https://ir.uitm.edu.my/id/eprint/30834/ https://ir.uitm.edu.my/id/eprint/30834/2/30834.pdf text en public degree Universiti Teknologi MARA, Perlis Faculty of Architecture, Planning and Surverying
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Aerial geography Geographic information systems Malaysia Geomatics
spellingShingle	Aerial geography Geographic information systems Malaysia Geomatics Abd Hamid, Hanim Fazira Assessment of Satellite Derived Bathymetry from Spot 7 satellite imagery / Hanim Fazira Abd Hamid
description	Bathymetry is the measurement of water depth in oceans, rivers, or lakes. Nowadays, the measurement of water depth also can be estimated by using remotely sensed satellite imagery which is known as Satellite Derived Bathymetry (SDB). Water depth from SDB estimation is based on in-Situ data and can be used to make navigation. Thus, the aim of this study is to assess the estimated near-shore water depth using Spot 7 satellite imagery with In-Situ measurement at Sungai Dinding, Lumut Perak. The objectives are (1) to estimate water depth from Spot 7 satellite image using Ratio Transformation Algorithm and (2) to assess estimated water depth with In-Situ data measurement. In this study, Ratio Algorithm was applied on spectral band blue, green and NIR to estimate SDB and the in-Situ data of hydrgraphic work of Sungai Dinding was used to assess the estimated water depth from SDB. The strong correlation was found between SDB and in situ measurement from 1.0 to 12.0 meters with the value of 0.768. The assessments of SDB were determined from Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) with the value of 0.6573 and 0.5884 respectively. Based on the finding, the ratio method can be used to estimate water depth from SPOT 7 ranging from 1.0 to 9.0m at Sungai Dinding. Overall the finding of this research shown that high spatial resolution of a remotely sensed image such as Spot-7 can potentially be used to estimate water depth in SDB approach.
format	Thesis
qualification_level	Bachelor degree
author	Abd Hamid, Hanim Fazira
author_facet	Abd Hamid, Hanim Fazira
author_sort	Abd Hamid, Hanim Fazira
title	Assessment of Satellite Derived Bathymetry from Spot 7 satellite imagery / Hanim Fazira Abd Hamid
title_short	Assessment of Satellite Derived Bathymetry from Spot 7 satellite imagery / Hanim Fazira Abd Hamid
title_full	Assessment of Satellite Derived Bathymetry from Spot 7 satellite imagery / Hanim Fazira Abd Hamid
title_fullStr	Assessment of Satellite Derived Bathymetry from Spot 7 satellite imagery / Hanim Fazira Abd Hamid
title_full_unstemmed	Assessment of Satellite Derived Bathymetry from Spot 7 satellite imagery / Hanim Fazira Abd Hamid
title_sort	assessment of satellite derived bathymetry from spot 7 satellite imagery / hanim fazira abd hamid
granting_institution	Universiti Teknologi MARA, Perlis
granting_department	Faculty of Architecture, Planning and Surverying
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/30834/2/30834.pdf
_version_	1783734090238787584

Assessment of Satellite Derived Bathymetry from Spot 7 satellite imagery / Hanim Fazira Abd Hamid

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