Detection of the river sediment deposition area at Kuala Perlis river mouth using Landsat 8 OLI within the years 2019, 2020 and 2021 / Nur Zakira Ain Zamrun

Sedimentation at the mouth of the river always occurs in Kuala Perlis disrupting the ferries and boats’ travel, especially during the low tide. Therefore, this study aimed to compare the best method for foreseeing river sediment deposition between K-Means unsupervised image classification machine le...

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Main Author:	Zamrun, Nur Zakira Ain
Format:	Thesis
Language:	English
Published:	2022
Subjects:	Aerial geography
Online Access:	https://ir.uitm.edu.my/id/eprint/60382/1/60382.pdf
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id	my-uitm-ir.60382
record_format	uketd_dc
spelling	my-uitm-ir.603822022-06-22T22:32:50Z Detection of the river sediment deposition area at Kuala Perlis river mouth using Landsat 8 OLI within the years 2019, 2020 and 2021 / Nur Zakira Ain Zamrun 2022-02 Zamrun, Nur Zakira Ain Aerial geography Hydrology. Water Sedimentation at the mouth of the river always occurs in Kuala Perlis disrupting the ferries and boats’ travel, especially during the low tide. Therefore, this study aimed to compare the best method for foreseeing river sediment deposition between K-Means unsupervised image classification machine learning and water spectral indices (MNDWI) to analyze the areas most influenced by deposited river sediments from the clustered images. Quantification of Landsat 8 OLI satellite images was applied using ENVI software on the study area for detecting sedimentation in the study area that used image data band correlation in deposited river sediment through unsupervised classifier algorithm and selection of spectral bands for MNDWI. The determination of determinant bands from analysis of correlation coefficient resulted in NIR bands for their lowest R² coefficient that ranged R² 0.5 to R² 0.7. The selected K-Means classification method has been taken for further clustered image analysis compared to the MNDWI method. From the analysis through stage’s statistic, visual observation and previous studies review, the river sediment deposition at the river mouth was significantly increased from the year 2019 to the year 2021. These results were supported with the percentage of increase (14%) for riverbed regions subjected to sediment deposition. The location of Kuala Perlis itself exacerbated the problem of dumping sediment returned to the river mouth in a brief period, which is also reliant on the wave flow. This study was beneficial for the future development of Kuala Perlis and local communities nearby. 2022-02 Thesis https://ir.uitm.edu.my/id/eprint/60382/ https://ir.uitm.edu.my/id/eprint/60382/1/60382.pdf text en public degree Universiti Teknologi Mara Perlis Faculty of Architecture, Planning and Surveying
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Aerial geography Aerial geography
spellingShingle	Aerial geography Aerial geography Zamrun, Nur Zakira Ain Detection of the river sediment deposition area at Kuala Perlis river mouth using Landsat 8 OLI within the years 2019, 2020 and 2021 / Nur Zakira Ain Zamrun
description	Sedimentation at the mouth of the river always occurs in Kuala Perlis disrupting the ferries and boats’ travel, especially during the low tide. Therefore, this study aimed to compare the best method for foreseeing river sediment deposition between K-Means unsupervised image classification machine learning and water spectral indices (MNDWI) to analyze the areas most influenced by deposited river sediments from the clustered images. Quantification of Landsat 8 OLI satellite images was applied using ENVI software on the study area for detecting sedimentation in the study area that used image data band correlation in deposited river sediment through unsupervised classifier algorithm and selection of spectral bands for MNDWI. The determination of determinant bands from analysis of correlation coefficient resulted in NIR bands for their lowest R² coefficient that ranged R² 0.5 to R² 0.7. The selected K-Means classification method has been taken for further clustered image analysis compared to the MNDWI method. From the analysis through stage’s statistic, visual observation and previous studies review, the river sediment deposition at the river mouth was significantly increased from the year 2019 to the year 2021. These results were supported with the percentage of increase (14%) for riverbed regions subjected to sediment deposition. The location of Kuala Perlis itself exacerbated the problem of dumping sediment returned to the river mouth in a brief period, which is also reliant on the wave flow. This study was beneficial for the future development of Kuala Perlis and local communities nearby.
format	Thesis
qualification_level	Bachelor degree
author	Zamrun, Nur Zakira Ain
author_facet	Zamrun, Nur Zakira Ain
author_sort	Zamrun, Nur Zakira Ain
title	Detection of the river sediment deposition area at Kuala Perlis river mouth using Landsat 8 OLI within the years 2019, 2020 and 2021 / Nur Zakira Ain Zamrun
title_short	Detection of the river sediment deposition area at Kuala Perlis river mouth using Landsat 8 OLI within the years 2019, 2020 and 2021 / Nur Zakira Ain Zamrun
title_full	Detection of the river sediment deposition area at Kuala Perlis river mouth using Landsat 8 OLI within the years 2019, 2020 and 2021 / Nur Zakira Ain Zamrun
title_fullStr	Detection of the river sediment deposition area at Kuala Perlis river mouth using Landsat 8 OLI within the years 2019, 2020 and 2021 / Nur Zakira Ain Zamrun
title_full_unstemmed	Detection of the river sediment deposition area at Kuala Perlis river mouth using Landsat 8 OLI within the years 2019, 2020 and 2021 / Nur Zakira Ain Zamrun
title_sort	detection of the river sediment deposition area at kuala perlis river mouth using landsat 8 oli within the years 2019, 2020 and 2021 / nur zakira ain zamrun
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2022
url	https://ir.uitm.edu.my/id/eprint/60382/1/60382.pdf
_version_	1783735121775427584

Detection of the river sediment deposition area at Kuala Perlis river mouth using Landsat 8 OLI within the years 2019, 2020 and 2021 / Nur Zakira Ain Zamrun

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