Comparative study of pixel-based and object-based in monitoring benthic classification / Puteri Norsarifah Suhada Mohd Zaidi

Benthic classification mapping is inefficient, and very expensive using traditional ground base method. However, the availability of free access and commercial satellite imagery with a range of spatial resolution is an opportunity for the application of remote sensing technology. Diversity of coral...

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Main Author:	Mohd Zaidi, Puteri Norsarifah Suhada
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Environmental conditions Environmental quality Environmental indicators Environmental degradation
Online Access:	https://ir.uitm.edu.my/id/eprint/53860/1/53860.PDF
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id	my-uitm-ir.53860
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spelling	my-uitm-ir.538602022-02-22T03:11:39Z Comparative study of pixel-based and object-based in monitoring benthic classification / Puteri Norsarifah Suhada Mohd Zaidi 2020-08 Mohd Zaidi, Puteri Norsarifah Suhada Environmental conditions. Environmental quality. Environmental indicators. Environmental degradation Environmental education. Study and teaching. Research Benthic classification mapping is inefficient, and very expensive using traditional ground base method. However, the availability of free access and commercial satellite imagery with a range of spatial resolution is an opportunity for the application of remote sensing technology. Diversity of coral reefs has been degrading rapidly throughout the last decade, so it is very important for an accurate map to use for the distribution, management and monitoring of coral reefs. The study proposes in monitoring benthic classification using medium and high-resolution satellite imagery. Sentinel 2B as medium resolution (10 m) and SPOT 7 as high resolution (1.5m) satellite imagery were used to monitor coral reef using pixel-based and object-based classification method where the Sentinel 2 downloaded from USGS website and SPOT 7 from MYSA. Both satellite imageries offer a specification of potential value toward several objectives in remote sensing in coral reefs. Benthic classification is a unique challenge in remote sensing and highly heterogeneous in the meter and occurs at varying depths and clarity regimes. Both pixel-based used Maximum Likelihood method and object-based classification was used as an approach of Nearest Neighbour (KNN) method using segmentation before the classification. The result showed, the overall accuracy on the pixel-based classification method for Sentinel 2 and SPOT 7 was 97.5% and 90%. While for object based, the result was 87.05% for SPOT 7 imagery and 82.81% for Sentinel 2 imagery. This study suggests pixel-based classification technique provides better overall accuracy than object based and can be used for benthic classification in Mabul Island. However, it is necessary to conduct a more detail assessment at different water depth and field survey. 2020-08 Thesis https://ir.uitm.edu.my/id/eprint/53860/ https://ir.uitm.edu.my/id/eprint/53860/1/53860.PDF text en public degree Universiti Teknologi MARA Faculty of Architecture, Planning and Surveying Othman, Ainon Nisa (Sr. Dr.)
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Othman, Ainon Nisa (Sr. Dr.)
topic	Environmental conditions Environmental quality Environmental indicators Environmental degradation Environmental conditions Environmental quality Environmental indicators Environmental degradation
spellingShingle	Environmental conditions Environmental quality Environmental indicators Environmental degradation Environmental conditions Environmental quality Environmental indicators Environmental degradation Mohd Zaidi, Puteri Norsarifah Suhada Comparative study of pixel-based and object-based in monitoring benthic classification / Puteri Norsarifah Suhada Mohd Zaidi
description	Benthic classification mapping is inefficient, and very expensive using traditional ground base method. However, the availability of free access and commercial satellite imagery with a range of spatial resolution is an opportunity for the application of remote sensing technology. Diversity of coral reefs has been degrading rapidly throughout the last decade, so it is very important for an accurate map to use for the distribution, management and monitoring of coral reefs. The study proposes in monitoring benthic classification using medium and high-resolution satellite imagery. Sentinel 2B as medium resolution (10 m) and SPOT 7 as high resolution (1.5m) satellite imagery were used to monitor coral reef using pixel-based and object-based classification method where the Sentinel 2 downloaded from USGS website and SPOT 7 from MYSA. Both satellite imageries offer a specification of potential value toward several objectives in remote sensing in coral reefs. Benthic classification is a unique challenge in remote sensing and highly heterogeneous in the meter and occurs at varying depths and clarity regimes. Both pixel-based used Maximum Likelihood method and object-based classification was used as an approach of Nearest Neighbour (KNN) method using segmentation before the classification. The result showed, the overall accuracy on the pixel-based classification method for Sentinel 2 and SPOT 7 was 97.5% and 90%. While for object based, the result was 87.05% for SPOT 7 imagery and 82.81% for Sentinel 2 imagery. This study suggests pixel-based classification technique provides better overall accuracy than object based and can be used for benthic classification in Mabul Island. However, it is necessary to conduct a more detail assessment at different water depth and field survey.
format	Thesis
qualification_level	Bachelor degree
author	Mohd Zaidi, Puteri Norsarifah Suhada
author_facet	Mohd Zaidi, Puteri Norsarifah Suhada
author_sort	Mohd Zaidi, Puteri Norsarifah Suhada
title	Comparative study of pixel-based and object-based in monitoring benthic classification / Puteri Norsarifah Suhada Mohd Zaidi
title_short	Comparative study of pixel-based and object-based in monitoring benthic classification / Puteri Norsarifah Suhada Mohd Zaidi
title_full	Comparative study of pixel-based and object-based in monitoring benthic classification / Puteri Norsarifah Suhada Mohd Zaidi
title_fullStr	Comparative study of pixel-based and object-based in monitoring benthic classification / Puteri Norsarifah Suhada Mohd Zaidi
title_full_unstemmed	Comparative study of pixel-based and object-based in monitoring benthic classification / Puteri Norsarifah Suhada Mohd Zaidi
title_sort	comparative study of pixel-based and object-based in monitoring benthic classification / puteri norsarifah suhada mohd zaidi
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/53860/1/53860.PDF
_version_	1783734882498772992

Comparative study of pixel-based and object-based in monitoring benthic classification / Puteri Norsarifah Suhada Mohd Zaidi

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