Evaluation performance of UAV multispectral images for germplasme mangrove forest map using object based image analysis [OBIA] at Bagan Datok, Perak / Nazarul Ikram Khairi Anuar

The importance of conservation and restoration of mangroves are to ensure that wetland ecosystems in good condition because the mangrove defend or become natural habitats for some living things such as fish, crab and other. A lot of studies in this topic using satellite remote sensing imagery which...

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主要作者:	Khairi Anuar, Nazarul Ikram
格式:	Thesis
語言:	English
出版:	2020
主題:	Philosophy Relation to other topics Methodology Mapping
在線閱讀:	https://ir.uitm.edu.my/id/eprint/30970/1/TD_NAZARUL%20IKRAM%20KHAIRI%20ANUAR%20AP%20R%2019_5.pdf
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id	my-uitm-ir.30970
record_format	uketd_dc
spelling	my-uitm-ir.309702020-06-09T09:18:11Z Evaluation performance of UAV multispectral images for germplasme mangrove forest map using object based image analysis [OBIA] at Bagan Datok, Perak / Nazarul Ikram Khairi Anuar 2020-06-04 Khairi Anuar, Nazarul Ikram Philosophy. Relation to other topics. Methodology Mapping The importance of conservation and restoration of mangroves are to ensure that wetland ecosystems in good condition because the mangrove defend or become natural habitats for some living things such as fish, crab and other. A lot of studies in this topic using satellite remote sensing imagery which to be efficient for monitoring the mangrove ecosystem. The current technology in sensor and carrier platform of Unmanned Aerial System (UAS) with high spatial resolution have been used to monitor crops, forest and other landscapes of interest. The aim is to study the performance of unmanned aerial Vehicle (UAV) multispectral images to establish the germplasm mangrove forest map at Bagan Datok, Perak. First, the image objects were obtained by segmenting the UAV multispectral images. Second, spectral features, textural features and vegetation indices were extracted from the UAV multispectral images. Then generate the 3D point cloud to produce digital surface model (DSM) and the digital terrain model (DTM). The height of the tree was extracted from DSM subtract with DTM. Finally, the objects were classified into different mangrove family and other land covers based on their spectral and spatial characteristic differences. The overall classification accuracy result by using support vector machine (SVM) classifier was 76% (kappa = 0.68). The accuracy of 3D point for height of tree shows 68% with the standard error 0.04. The results provided evidence for the effectiveness and potential of UAV multispectral images for identify mangrove germplasm forest area. 2020-06 Thesis https://ir.uitm.edu.my/id/eprint/30970/ https://ir.uitm.edu.my/id/eprint/30970/1/TD_NAZARUL%20IKRAM%20KHAIRI%20ANUAR%20AP%20R%2019_5.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	Philosophy Relation to other topics Methodology Mapping
spellingShingle	Philosophy Relation to other topics Methodology Mapping Khairi Anuar, Nazarul Ikram Evaluation performance of UAV multispectral images for germplasme mangrove forest map using object based image analysis [OBIA] at Bagan Datok, Perak / Nazarul Ikram Khairi Anuar
description	The importance of conservation and restoration of mangroves are to ensure that wetland ecosystems in good condition because the mangrove defend or become natural habitats for some living things such as fish, crab and other. A lot of studies in this topic using satellite remote sensing imagery which to be efficient for monitoring the mangrove ecosystem. The current technology in sensor and carrier platform of Unmanned Aerial System (UAS) with high spatial resolution have been used to monitor crops, forest and other landscapes of interest. The aim is to study the performance of unmanned aerial Vehicle (UAV) multispectral images to establish the germplasm mangrove forest map at Bagan Datok, Perak. First, the image objects were obtained by segmenting the UAV multispectral images. Second, spectral features, textural features and vegetation indices were extracted from the UAV multispectral images. Then generate the 3D point cloud to produce digital surface model (DSM) and the digital terrain model (DTM). The height of the tree was extracted from DSM subtract with DTM. Finally, the objects were classified into different mangrove family and other land covers based on their spectral and spatial characteristic differences. The overall classification accuracy result by using support vector machine (SVM) classifier was 76% (kappa = 0.68). The accuracy of 3D point for height of tree shows 68% with the standard error 0.04. The results provided evidence for the effectiveness and potential of UAV multispectral images for identify mangrove germplasm forest area.
format	Thesis
qualification_level	Bachelor degree
author	Khairi Anuar, Nazarul Ikram
author_facet	Khairi Anuar, Nazarul Ikram
author_sort	Khairi Anuar, Nazarul Ikram
title	Evaluation performance of UAV multispectral images for germplasme mangrove forest map using object based image analysis [OBIA] at Bagan Datok, Perak / Nazarul Ikram Khairi Anuar
title_short	Evaluation performance of UAV multispectral images for germplasme mangrove forest map using object based image analysis [OBIA] at Bagan Datok, Perak / Nazarul Ikram Khairi Anuar
title_full	Evaluation performance of UAV multispectral images for germplasme mangrove forest map using object based image analysis [OBIA] at Bagan Datok, Perak / Nazarul Ikram Khairi Anuar
title_fullStr	Evaluation performance of UAV multispectral images for germplasme mangrove forest map using object based image analysis [OBIA] at Bagan Datok, Perak / Nazarul Ikram Khairi Anuar
title_full_unstemmed	Evaluation performance of UAV multispectral images for germplasme mangrove forest map using object based image analysis [OBIA] at Bagan Datok, Perak / Nazarul Ikram Khairi Anuar
title_sort	evaluation performance of uav multispectral images for germplasme mangrove forest map using object based image analysis [obia] at bagan datok, perak / nazarul ikram khairi anuar
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Architecture, Planning and Surverying
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/30970/1/TD_NAZARUL%20IKRAM%20KHAIRI%20ANUAR%20AP%20R%2019_5.pdf
_version_	1783734097676337152

Evaluation performance of UAV multispectral images for germplasme mangrove forest map using object based image analysis [OBIA] at Bagan Datok, Perak / Nazarul Ikram Khairi Anuar

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