Change detection in magrove forest using [LANDSAT NDVI] and LST / Alia Tasnin Chek Yasin

Mangroves are a group of trees and shrub that live in the coastal intertidal zone and it is an important ecosystems that will support wide variety of coastal species. Nowadays mangrove forest are among the most threatened habitats in the world and most of the mangrove area are decreasing. One of...

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Main Author:	Chek Yasin, Alia Tasnin
Format:	Thesis
Language:	English
Published:	2018
Subjects:	Geographic information systems Temperature measurements Agroforestry
Online Access:	https://ir.uitm.edu.my/id/eprint/22419/1/TD_ALIA%20TASNIN%20CHEK%20YASIN%20AP%20R%2018.5.PDF
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id	my-uitm-ir.22419
record_format	uketd_dc
spelling	my-uitm-ir.224192018-12-10T08:25:17Z Change detection in magrove forest using [LANDSAT NDVI] and LST / Alia Tasnin Chek Yasin 2018-11 Chek Yasin, Alia Tasnin Geographic information systems Temperature measurements Agroforestry Mangroves are a group of trees and shrub that live in the coastal intertidal zone and it is an important ecosystems that will support wide variety of coastal species. Nowadays mangrove forest are among the most threatened habitats in the world and most of the mangrove area are decreasing. One of the possible factor could be due to rising temperature which is also affected by global warming. The identification of mangrove and temperature can be derived from remotely sensed vegetation index and LST respectively. Thus, the aim of this study is to identify mangrove changes based on NDVI and LST between year 1999 and 2015 at Matang Mangrove Forest, Perak using Landsat images. This study consists of three objective; (i) to determine mangrove changes using spectral band combination and classification method, (ii) to identify mangrove changes based on NDVI and (iii) to determine the effect of LST to mangrove changes. The ND\T results show the value for year 1999 range from -0.55 to 0.56 meanwhile for year 2015 it is range from -1 to 0.96. NDVI values of 0.25 to 0.56 are observed as the mangrove area. The comparison of histogram that represent the pixel value of NDVI shows that the NDVI are decrease. The decreasing of NDVI shows that the mangrove are changed. Area of mangrove decreases about 29% from 35003.74 ha to 29074.53 ha from year 1999 to 2015. For relationship between LST and iiiaiigrove changes, the result show that the = 0.20 for year 1999 and for year 2015 it is R^ = 0.39. Therefore, the temperature does not give much effect to the mangrove changes. This study shows that the mangrove at study area are experience changes from year 1999 to 2015 but the changes is not affected by temperature. For future work, it is should implement other variables such as rainfall and sea level to see the effect towards mangrove changes. 2018-11 Thesis https://ir.uitm.edu.my/id/eprint/22419/ https://ir.uitm.edu.my/id/eprint/22419/1/TD_ALIA%20TASNIN%20CHEK%20YASIN%20AP%20R%2018.5.PDF other en public degree Universiti Teknologi Mara Perlis Faculty of Architecture, Planning and Surveying
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Geographic information systems Temperature measurements Agroforestry
spellingShingle	Geographic information systems Temperature measurements Agroforestry Chek Yasin, Alia Tasnin Change detection in magrove forest using [LANDSAT NDVI] and LST / Alia Tasnin Chek Yasin
description	Mangroves are a group of trees and shrub that live in the coastal intertidal zone and it is an important ecosystems that will support wide variety of coastal species. Nowadays mangrove forest are among the most threatened habitats in the world and most of the mangrove area are decreasing. One of the possible factor could be due to rising temperature which is also affected by global warming. The identification of mangrove and temperature can be derived from remotely sensed vegetation index and LST respectively. Thus, the aim of this study is to identify mangrove changes based on NDVI and LST between year 1999 and 2015 at Matang Mangrove Forest, Perak using Landsat images. This study consists of three objective; (i) to determine mangrove changes using spectral band combination and classification method, (ii) to identify mangrove changes based on NDVI and (iii) to determine the effect of LST to mangrove changes. The ND\T results show the value for year 1999 range from -0.55 to 0.56 meanwhile for year 2015 it is range from -1 to 0.96. NDVI values of 0.25 to 0.56 are observed as the mangrove area. The comparison of histogram that represent the pixel value of NDVI shows that the NDVI are decrease. The decreasing of NDVI shows that the mangrove are changed. Area of mangrove decreases about 29% from 35003.74 ha to 29074.53 ha from year 1999 to 2015. For relationship between LST and iiiaiigrove changes, the result show that the = 0.20 for year 1999 and for year 2015 it is R^ = 0.39. Therefore, the temperature does not give much effect to the mangrove changes. This study shows that the mangrove at study area are experience changes from year 1999 to 2015 but the changes is not affected by temperature. For future work, it is should implement other variables such as rainfall and sea level to see the effect towards mangrove changes.
format	Thesis
qualification_level	Bachelor degree
author	Chek Yasin, Alia Tasnin
author_facet	Chek Yasin, Alia Tasnin
author_sort	Chek Yasin, Alia Tasnin
title	Change detection in magrove forest using [LANDSAT NDVI] and LST / Alia Tasnin Chek Yasin
title_short	Change detection in magrove forest using [LANDSAT NDVI] and LST / Alia Tasnin Chek Yasin
title_full	Change detection in magrove forest using [LANDSAT NDVI] and LST / Alia Tasnin Chek Yasin
title_fullStr	Change detection in magrove forest using [LANDSAT NDVI] and LST / Alia Tasnin Chek Yasin
title_full_unstemmed	Change detection in magrove forest using [LANDSAT NDVI] and LST / Alia Tasnin Chek Yasin
title_sort	change detection in magrove forest using [landsat ndvi] and lst / alia tasnin chek yasin
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2018
url	https://ir.uitm.edu.my/id/eprint/22419/1/TD_ALIA%20TASNIN%20CHEK%20YASIN%20AP%20R%2018.5.PDF
_version_	1783733815758290944

Change detection in magrove forest using [LANDSAT NDVI] and LST / Alia Tasnin Chek Yasin

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