Mapping of forest water-stressed changes based on normalized difference water index (NDWI) during 1998-2018 using multi-temporal landsat data

Forests play an important role in ecosystem and its services by way of regulating the climate of the particular region. However, when the climate turns adverse changes begin to occur that cloud affect the status of the forest. There are several issues that are of global concern especially relating t...

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Main Author:	Isa, Alhaji Mustapha
Format:	Thesis
Language:	English
Published:	2019
Subjects:	G70.39-70.6 Remote sensing
Online Access:	http://eprints.utm.my/id/eprint/96625/1/AlhajiMustaphaIsaMFABU2019.pdf.pdf
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id	my-utm-ep.96625
record_format	uketd_dc
spelling	my-utm-ep.966252022-08-15T03:18:00Z Mapping of forest water-stressed changes based on normalized difference water index (NDWI) during 1998-2018 using multi-temporal landsat data 2019 Isa, Alhaji Mustapha G70.39-70.6 Remote sensing Forests play an important role in ecosystem and its services by way of regulating the climate of the particular region. However, when the climate turns adverse changes begin to occur that cloud affect the status of the forest. There are several issues that are of global concern especially relating to the determination of the forest resources. Therefore this study maps the wetness of the Kota Tinggi forest reserve and vicinity using Landsat Multitemporal remote sensing image data. The specific objectives are :i) examine and analyse selective Normalized Difference Water Index (NDWI) method for humid tropic; and ii) map spatio-temporal pattern of NDWI in normal and extreme seasons. Multi-temporal images of three different epochs were used in this study, which include Landsat TM of 1998, 2008, and 2018. The normalize difference water indexes for each season was calculated and classified forest map of the study area was overlaid on the water indexes to find out the best wetness indexes within the period of the study as it relate with period of extreme climate condition such as La Nina and El Nino cases the result indicate that the hypothesis drawn H1: µ1= µ2 pc 0.05 and H2:µ1?µ2 pc>0.05. From the stated hypothesis, the result reveal that forest wetness has no relationship with the El Nino and La Nina, R2 = 0.0285 and 0.0942 respectively. This is due to normal rainfall which has insignificant impact to La Nina and El Nino occurrences, couple with some environment factors influencing the structure of the study area. 2019 Thesis http://eprints.utm.my/id/eprint/96625/ http://eprints.utm.my/id/eprint/96625/1/AlhajiMustaphaIsaMFABU2019.pdf.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:143189 masters Universiti Teknologi Malaysia Faculty of Built Environment & Surveying
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	G70.39-70.6 Remote sensing
spellingShingle	G70.39-70.6 Remote sensing Isa, Alhaji Mustapha Mapping of forest water-stressed changes based on normalized difference water index (NDWI) during 1998-2018 using multi-temporal landsat data
description	Forests play an important role in ecosystem and its services by way of regulating the climate of the particular region. However, when the climate turns adverse changes begin to occur that cloud affect the status of the forest. There are several issues that are of global concern especially relating to the determination of the forest resources. Therefore this study maps the wetness of the Kota Tinggi forest reserve and vicinity using Landsat Multitemporal remote sensing image data. The specific objectives are :i) examine and analyse selective Normalized Difference Water Index (NDWI) method for humid tropic; and ii) map spatio-temporal pattern of NDWI in normal and extreme seasons. Multi-temporal images of three different epochs were used in this study, which include Landsat TM of 1998, 2008, and 2018. The normalize difference water indexes for each season was calculated and classified forest map of the study area was overlaid on the water indexes to find out the best wetness indexes within the period of the study as it relate with period of extreme climate condition such as La Nina and El Nino cases the result indicate that the hypothesis drawn H1: µ1= µ2 pc 0.05 and H2:µ1?µ2 pc>0.05. From the stated hypothesis, the result reveal that forest wetness has no relationship with the El Nino and La Nina, R2 = 0.0285 and 0.0942 respectively. This is due to normal rainfall which has insignificant impact to La Nina and El Nino occurrences, couple with some environment factors influencing the structure of the study area.
format	Thesis
qualification_level	Master's degree
author	Isa, Alhaji Mustapha
author_facet	Isa, Alhaji Mustapha
author_sort	Isa, Alhaji Mustapha
title	Mapping of forest water-stressed changes based on normalized difference water index (NDWI) during 1998-2018 using multi-temporal landsat data
title_short	Mapping of forest water-stressed changes based on normalized difference water index (NDWI) during 1998-2018 using multi-temporal landsat data
title_full	Mapping of forest water-stressed changes based on normalized difference water index (NDWI) during 1998-2018 using multi-temporal landsat data
title_fullStr	Mapping of forest water-stressed changes based on normalized difference water index (NDWI) during 1998-2018 using multi-temporal landsat data
title_full_unstemmed	Mapping of forest water-stressed changes based on normalized difference water index (NDWI) during 1998-2018 using multi-temporal landsat data
title_sort	mapping of forest water-stressed changes based on normalized difference water index (ndwi) during 1998-2018 using multi-temporal landsat data
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Built Environment & Surveying
publishDate	2019
url	http://eprints.utm.my/id/eprint/96625/1/AlhajiMustaphaIsaMFABU2019.pdf.pdf
_version_	1747818670997897216

Mapping of forest water-stressed changes based on normalized difference water index (NDWI) during 1998-2018 using multi-temporal landsat data

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