Determining the chloropyhll content [Chloropyhll A and Chloropyhll B] and mapping of rhizophora apiculata and rhizophora mucronata using landsat 8 imagery data at Selat Pulau Tuba, Langkawi / Muhammad Zulkarnain Royazid

Mangrove is a one of a kind woody plant network of intertidal drifts in tropical and subtropical throughout the world which experienced the losses due to the intense demand for mangrove trees which greatly benefits human activities. The aims of this study was conducted mainly to study the distributi...

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Main Author:	Royazid, Muhammad Zulkarnain
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Nutrition Plant food Assimilation of nitrogen, etc. Mangrove forests
Online Access:	https://ir.uitm.edu.my/id/eprint/32692/1/32692.pdf
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id	my-uitm-ir.32692
record_format	uketd_dc
spelling	my-uitm-ir.326922020-07-27T05:37:06Z Determining the chloropyhll content [Chloropyhll A and Chloropyhll B] and mapping of rhizophora apiculata and rhizophora mucronata using landsat 8 imagery data at Selat Pulau Tuba, Langkawi / Muhammad Zulkarnain Royazid 2020-07-20 Royazid, Muhammad Zulkarnain Nutrition. Plant food. Assimilation of nitrogen, etc. Mangrove forests Mangrove is a one of a kind woody plant network of intertidal drifts in tropical and subtropical throughout the world which experienced the losses due to the intense demand for mangrove trees which greatly benefits human activities. The aims of this study was conducted mainly to study the distribution of Rhizophora apiculata and Rhizophora mucronata species at mangrove area of Selat Pulau Tuba, Langkawi and to measure the total chlorophyll content, chlorophyll-a and chlorophyll-b content in the leaves samples of Rhizophora apiculata and Rhizophora mucronata in laboratory and their relationship with Normalized Diffference Vegetation Index (NDVI) values extracted from Landsat 8 satellite imagery data. ERDAS Imagine 2014 and ArcGIS 10.2 were used to process the satellite imagery data of Landsat 8 which the overall data processes involves preprocessing of the satellite imagery data, layer stack, subset image, optimum index factor (OIF), Normalized Difference Vegetation Index (NDVI), unsupervised classification, supervised classification and accuracy assessment were done. While, the determination of chlorophyll content was determined in the laboratory. The OIF result shows the best three-band combination was 2,3,5 (Blue, Green, NIR). Meanwhile, NDVI Red recorded the wide range of NDVI value at -0.40 to 0.80 to help in distinguishing the vegetation and non-vegetation area compared to NDVI Green. The classification of three main classes of Rhizophora apiculata, Rhizophora mucronata and water bodies was recorded higher using SAM with the overall accuracy resulted at 54.72%. The result of correlation shows most of the analysis have weak positive correlation between chlorophyll a, chlorophyll b and total of chlorophyll with NDVI Green and NDVI Red. However, the regression analysis recorded lower for all since the value recorded in the range of 0.0007 to 0.17. In conclusion, Landsat 8 OLI satellite imagery shows capability in mapping the distribution of the Rhizophora apiculata and Rhizophora mucronata within the study area with the limited spatial resolution of 30 m. 2020-07 Thesis https://ir.uitm.edu.my/id/eprint/32692/ https://ir.uitm.edu.my/id/eprint/32692/1/32692.pdf text en public degree Universiti Teknologi Mara Perlis Faculty of Applied Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Nutrition Plant food Assimilation of nitrogen, etc. Mangrove forests
spellingShingle	Nutrition Plant food Assimilation of nitrogen, etc. Mangrove forests Royazid, Muhammad Zulkarnain Determining the chloropyhll content [Chloropyhll A and Chloropyhll B] and mapping of rhizophora apiculata and rhizophora mucronata using landsat 8 imagery data at Selat Pulau Tuba, Langkawi / Muhammad Zulkarnain Royazid
description	Mangrove is a one of a kind woody plant network of intertidal drifts in tropical and subtropical throughout the world which experienced the losses due to the intense demand for mangrove trees which greatly benefits human activities. The aims of this study was conducted mainly to study the distribution of Rhizophora apiculata and Rhizophora mucronata species at mangrove area of Selat Pulau Tuba, Langkawi and to measure the total chlorophyll content, chlorophyll-a and chlorophyll-b content in the leaves samples of Rhizophora apiculata and Rhizophora mucronata in laboratory and their relationship with Normalized Diffference Vegetation Index (NDVI) values extracted from Landsat 8 satellite imagery data. ERDAS Imagine 2014 and ArcGIS 10.2 were used to process the satellite imagery data of Landsat 8 which the overall data processes involves preprocessing of the satellite imagery data, layer stack, subset image, optimum index factor (OIF), Normalized Difference Vegetation Index (NDVI), unsupervised classification, supervised classification and accuracy assessment were done. While, the determination of chlorophyll content was determined in the laboratory. The OIF result shows the best three-band combination was 2,3,5 (Blue, Green, NIR). Meanwhile, NDVI Red recorded the wide range of NDVI value at -0.40 to 0.80 to help in distinguishing the vegetation and non-vegetation area compared to NDVI Green. The classification of three main classes of Rhizophora apiculata, Rhizophora mucronata and water bodies was recorded higher using SAM with the overall accuracy resulted at 54.72%. The result of correlation shows most of the analysis have weak positive correlation between chlorophyll a, chlorophyll b and total of chlorophyll with NDVI Green and NDVI Red. However, the regression analysis recorded lower for all since the value recorded in the range of 0.0007 to 0.17. In conclusion, Landsat 8 OLI satellite imagery shows capability in mapping the distribution of the Rhizophora apiculata and Rhizophora mucronata within the study area with the limited spatial resolution of 30 m.
format	Thesis
qualification_level	Bachelor degree
author	Royazid, Muhammad Zulkarnain
author_facet	Royazid, Muhammad Zulkarnain
author_sort	Royazid, Muhammad Zulkarnain
title	Determining the chloropyhll content [Chloropyhll A and Chloropyhll B] and mapping of rhizophora apiculata and rhizophora mucronata using landsat 8 imagery data at Selat Pulau Tuba, Langkawi / Muhammad Zulkarnain Royazid
title_short	Determining the chloropyhll content [Chloropyhll A and Chloropyhll B] and mapping of rhizophora apiculata and rhizophora mucronata using landsat 8 imagery data at Selat Pulau Tuba, Langkawi / Muhammad Zulkarnain Royazid
title_full	Determining the chloropyhll content [Chloropyhll A and Chloropyhll B] and mapping of rhizophora apiculata and rhizophora mucronata using landsat 8 imagery data at Selat Pulau Tuba, Langkawi / Muhammad Zulkarnain Royazid
title_fullStr	Determining the chloropyhll content [Chloropyhll A and Chloropyhll B] and mapping of rhizophora apiculata and rhizophora mucronata using landsat 8 imagery data at Selat Pulau Tuba, Langkawi / Muhammad Zulkarnain Royazid
title_full_unstemmed	Determining the chloropyhll content [Chloropyhll A and Chloropyhll B] and mapping of rhizophora apiculata and rhizophora mucronata using landsat 8 imagery data at Selat Pulau Tuba, Langkawi / Muhammad Zulkarnain Royazid
title_sort	determining the chloropyhll content [chloropyhll a and chloropyhll b] and mapping of rhizophora apiculata and rhizophora mucronata using landsat 8 imagery data at selat pulau tuba, langkawi / muhammad zulkarnain royazid
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Applied Sciences
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/32692/1/32692.pdf
_version_	1783734179444293632

Determining the chloropyhll content [Chloropyhll A and Chloropyhll B] and mapping of rhizophora apiculata and rhizophora mucronata using landsat 8 imagery data at Selat Pulau Tuba, Langkawi / Muhammad Zulkarnain Royazid

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