Shallow-water mapping at Pantai Tok Jembal, Terengganu, Malaysia, using Lansat 8 (OLI) / Nur Syahirah Hashim

Open-source availability data with various types of sensors, the variety of simple to the sophisticated algorithm, and readily available software with a specialized image analysis tool are among the attractive options by Satellite-Derived Bathymetry (SDB). Therefore, this study will use the SDB tech...

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Main Author:	Hashim, Nur Syahirah
Format:	Thesis
Language:	English
Published:	2021
Subjects:	GC Oceanography
Online Access:	https://ir.uitm.edu.my/id/eprint/60375/1/60375.pdf
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id	my-uitm-ir.60375
record_format	uketd_dc
spelling	my-uitm-ir.603752022-05-26T03:05:03Z Shallow-water mapping at Pantai Tok Jembal, Terengganu, Malaysia, using Lansat 8 (OLI) / Nur Syahirah Hashim 2021-06 Hashim, Nur Syahirah GC Oceanography Open-source availability data with various types of sensors, the variety of simple to the sophisticated algorithm, and readily available software with a specialized image analysis tool are among the attractive options by Satellite-Derived Bathymetry (SDB). Therefore, this study will use the SDB technique to extend the bathymetric survey area at Pantai Tok Jembal Terengganu, Malaysia. The size of the extended survey area is 49.69 km². The problem encountered during the bathymetry derivation process, related to the space, distribution and quantity of the Single-beam echo sounder (SBES) data. Therefore, the idea of using spatial interpolation could be a suitable approach in solving the problems. Next, there are three research objectives guideline in this study: i) to identify the best empirical-based method for Satellite-Derived Bathymetry, ii) to evaluate the spatial interpolation technique for generating a calibration dataset and iii) to evaluate the accuracy of Satellite-Derived Bathymetry using the selected empirical-based method and spatial interpolation technique. Then, three processes conducted in this study: Process A, B and C connecting to the research objective. First, Process A will identify the best empirical-based method among the six method use: Single Band Algorithm for blue band (SBA-Blue), Single Band Algorithm for green band (SBA-Green), Green Band Algorithm (GBA), Principal Component Analysis (PCA), Independent Component Analysis (ICA), and Log-ratio Transform (LR) and utilizing three types of atmospheric correction approaches, namely, no atmospheric correction, Dark Object Subtraction (DOS), and Fast Line-of-sight Atmospheric Analysis of Hypercubes (FLAASH), to diversify the SDB quality result. Second, Process B produces an Improvised Calibration dataset using six spatial interpolations: Inverse Distance Weightage (IDW), Universal Kriging (KRG), Thin-plate Spline (TPS), Spline with Tension (ST), Natural Neighbour (NN), and Topo to Raster (T2R). Third, Process C will generate an Improvised SDB, using the ICD generated under Process B and the selected empirical-based method (identify in Process A). The selected method is LR perform with DOS, which applies under Process C. A comparative analysis conducted between the six Improvised SDB results, and the best result is SDB-KRG, which produce the lowest RMSE (0.718 m).To presume that SDB is suitable for extending the bathymetric survey area or filling the data gaps. However, on the condition, the depth must not be up to 20 m. The extinction of light as depth goes deeper consequently produces erroneous depth. It is better to use higher resolution images to give comprehensive bathymetry information better in filling the data gaps. Besides, SDB has an excellent positional accuracy similar to MBES and SBES and better than LiDAR. However, the accuracy of SDB is not good as MBES and SBES. Nonetheless, there is still room for improvement, a great motivation through the success of EOMAP in the Great Barrier Reef mapping, the world most extensive mapping using SDB technique, which this area has never been surveying due to the extensive coral reef. 2021-06 Thesis https://ir.uitm.edu.my/id/eprint/60375/ https://ir.uitm.edu.my/id/eprint/60375/1/60375.pdf text en public masters Universiti Teknologi MARA Faculty of Architecture, Planning and Surveying Sulaiman, Saiful Aman (Dr.)
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Sulaiman, Saiful Aman (Dr.)
topic	GC Oceanography
spellingShingle	GC Oceanography Hashim, Nur Syahirah Shallow-water mapping at Pantai Tok Jembal, Terengganu, Malaysia, using Lansat 8 (OLI) / Nur Syahirah Hashim
description	Open-source availability data with various types of sensors, the variety of simple to the sophisticated algorithm, and readily available software with a specialized image analysis tool are among the attractive options by Satellite-Derived Bathymetry (SDB). Therefore, this study will use the SDB technique to extend the bathymetric survey area at Pantai Tok Jembal Terengganu, Malaysia. The size of the extended survey area is 49.69 km². The problem encountered during the bathymetry derivation process, related to the space, distribution and quantity of the Single-beam echo sounder (SBES) data. Therefore, the idea of using spatial interpolation could be a suitable approach in solving the problems. Next, there are three research objectives guideline in this study: i) to identify the best empirical-based method for Satellite-Derived Bathymetry, ii) to evaluate the spatial interpolation technique for generating a calibration dataset and iii) to evaluate the accuracy of Satellite-Derived Bathymetry using the selected empirical-based method and spatial interpolation technique. Then, three processes conducted in this study: Process A, B and C connecting to the research objective. First, Process A will identify the best empirical-based method among the six method use: Single Band Algorithm for blue band (SBA-Blue), Single Band Algorithm for green band (SBA-Green), Green Band Algorithm (GBA), Principal Component Analysis (PCA), Independent Component Analysis (ICA), and Log-ratio Transform (LR) and utilizing three types of atmospheric correction approaches, namely, no atmospheric correction, Dark Object Subtraction (DOS), and Fast Line-of-sight Atmospheric Analysis of Hypercubes (FLAASH), to diversify the SDB quality result. Second, Process B produces an Improvised Calibration dataset using six spatial interpolations: Inverse Distance Weightage (IDW), Universal Kriging (KRG), Thin-plate Spline (TPS), Spline with Tension (ST), Natural Neighbour (NN), and Topo to Raster (T2R). Third, Process C will generate an Improvised SDB, using the ICD generated under Process B and the selected empirical-based method (identify in Process A). The selected method is LR perform with DOS, which applies under Process C. A comparative analysis conducted between the six Improvised SDB results, and the best result is SDB-KRG, which produce the lowest RMSE (0.718 m).To presume that SDB is suitable for extending the bathymetric survey area or filling the data gaps. However, on the condition, the depth must not be up to 20 m. The extinction of light as depth goes deeper consequently produces erroneous depth. It is better to use higher resolution images to give comprehensive bathymetry information better in filling the data gaps. Besides, SDB has an excellent positional accuracy similar to MBES and SBES and better than LiDAR. However, the accuracy of SDB is not good as MBES and SBES. Nonetheless, there is still room for improvement, a great motivation through the success of EOMAP in the Great Barrier Reef mapping, the world most extensive mapping using SDB technique, which this area has never been surveying due to the extensive coral reef.
format	Thesis
qualification_level	Master's degree
author	Hashim, Nur Syahirah
author_facet	Hashim, Nur Syahirah
author_sort	Hashim, Nur Syahirah
title	Shallow-water mapping at Pantai Tok Jembal, Terengganu, Malaysia, using Lansat 8 (OLI) / Nur Syahirah Hashim
title_short	Shallow-water mapping at Pantai Tok Jembal, Terengganu, Malaysia, using Lansat 8 (OLI) / Nur Syahirah Hashim
title_full	Shallow-water mapping at Pantai Tok Jembal, Terengganu, Malaysia, using Lansat 8 (OLI) / Nur Syahirah Hashim
title_fullStr	Shallow-water mapping at Pantai Tok Jembal, Terengganu, Malaysia, using Lansat 8 (OLI) / Nur Syahirah Hashim
title_full_unstemmed	Shallow-water mapping at Pantai Tok Jembal, Terengganu, Malaysia, using Lansat 8 (OLI) / Nur Syahirah Hashim
title_sort	shallow-water mapping at pantai tok jembal, terengganu, malaysia, using lansat 8 (oli) / nur syahirah hashim
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2021
url	https://ir.uitm.edu.my/id/eprint/60375/1/60375.pdf
_version_	1783735120300081152

Shallow-water mapping at Pantai Tok Jembal, Terengganu, Malaysia, using Lansat 8 (OLI) / Nur Syahirah Hashim

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