Assessment of satellite based water turbidity using ; GWR approach / Nurul Adila Abdul Rahman

Conventional water quality estimation of the river requires in situ measurements and laboratory analysis which are extremely demanding in terms of time consuming and cost. In remote sensing technology, water turbidity can be estimated by the capability of remotely sensed spectral properties such as...

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Main Author:	Abdul Rahman, Nurul Adila
Format:	Thesis
Language:	English
Published:	2018
Subjects:	Geographic information systems Turbidity Artificial satellites in navigation
Online Access:	https://ir.uitm.edu.my/id/eprint/19131/14/TD_NURUL%20ADILA%20ABDUL%20RAHMAN%20AP%20R%2018_5.pdf
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id	my-uitm-ir.19131
record_format	uketd_dc
spelling	my-uitm-ir.191312018-10-02T06:03:43Z Assessment of satellite based water turbidity using ; GWR approach / Nurul Adila Abdul Rahman 2018-02 Abdul Rahman, Nurul Adila Geographic information systems Turbidity Artificial satellites in navigation Conventional water quality estimation of the river requires in situ measurements and laboratory analysis which are extremely demanding in terms of time consuming and cost. In remote sensing technology, water turbidity can be estimated by the capability of remotely sensed spectral properties such as by using Landsat 8 OLI. Nowadays, a local regression approach of Geographically Weighted Regression (GWR) is widely used to improve the global approach such as linear regression method. Thus, the aim of this study is to assess satellite based water turbidity of Landsat 8 OLI with in situ measurement in Perlis River during Southwest Monsoon by using GWR technique. The objectives are to estimate water turbidity from Landsat OLI and to assess the estimated water turbidity with in situ measurement using GWR. The estimation of water turbidity from Landsat 8 is done by the extraction of satellite DN and spectral reflectance of Ultra Blue, Green, and Red bands a based on water sampling locations respectively. With 30 samples of water sampling, the assessment of satellite based water turbidity is carried out using GWR. The result shows strong correlation for both local relationship between in situ turbidity data and (I) DN of green band (R2 = 0.546) and spectral reflectance of Red Band (R2 =0.745). Thus, the Landsat DN of green band and spectral reflectance of Red Band are suitable to estimate water turbidity. The finding of this study shows, the local relationship between satellite based and in situ water turbidity can be determined. Thus, remotely sensed of spectral band is possible to be utilized for water turbidity estimation. 2018-02 Thesis https://ir.uitm.edu.my/id/eprint/19131/ https://ir.uitm.edu.my/id/eprint/19131/14/TD_NURUL%20ADILA%20ABDUL%20RAHMAN%20AP%20R%2018_5.pdf text en public dphil 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 Turbidity Artificial satellites in navigation
spellingShingle	Geographic information systems Turbidity Artificial satellites in navigation Abdul Rahman, Nurul Adila Assessment of satellite based water turbidity using ; GWR approach / Nurul Adila Abdul Rahman
description	Conventional water quality estimation of the river requires in situ measurements and laboratory analysis which are extremely demanding in terms of time consuming and cost. In remote sensing technology, water turbidity can be estimated by the capability of remotely sensed spectral properties such as by using Landsat 8 OLI. Nowadays, a local regression approach of Geographically Weighted Regression (GWR) is widely used to improve the global approach such as linear regression method. Thus, the aim of this study is to assess satellite based water turbidity of Landsat 8 OLI with in situ measurement in Perlis River during Southwest Monsoon by using GWR technique. The objectives are to estimate water turbidity from Landsat OLI and to assess the estimated water turbidity with in situ measurement using GWR. The estimation of water turbidity from Landsat 8 is done by the extraction of satellite DN and spectral reflectance of Ultra Blue, Green, and Red bands a based on water sampling locations respectively. With 30 samples of water sampling, the assessment of satellite based water turbidity is carried out using GWR. The result shows strong correlation for both local relationship between in situ turbidity data and (I) DN of green band (R2 = 0.546) and spectral reflectance of Red Band (R2 =0.745). Thus, the Landsat DN of green band and spectral reflectance of Red Band are suitable to estimate water turbidity. The finding of this study shows, the local relationship between satellite based and in situ water turbidity can be determined. Thus, remotely sensed of spectral band is possible to be utilized for water turbidity estimation.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Bachelor degree
author	Abdul Rahman, Nurul Adila
author_facet	Abdul Rahman, Nurul Adila
author_sort	Abdul Rahman, Nurul Adila
title	Assessment of satellite based water turbidity using ; GWR approach / Nurul Adila Abdul Rahman
title_short	Assessment of satellite based water turbidity using ; GWR approach / Nurul Adila Abdul Rahman
title_full	Assessment of satellite based water turbidity using ; GWR approach / Nurul Adila Abdul Rahman
title_fullStr	Assessment of satellite based water turbidity using ; GWR approach / Nurul Adila Abdul Rahman
title_full_unstemmed	Assessment of satellite based water turbidity using ; GWR approach / Nurul Adila Abdul Rahman
title_sort	assessment of satellite based water turbidity using ; gwr approach / nurul adila abdul rahman
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2018
url	https://ir.uitm.edu.my/id/eprint/19131/14/TD_NURUL%20ADILA%20ABDUL%20RAHMAN%20AP%20R%2018_5.pdf
_version_	1783733720442732544

Assessment of satellite based water turbidity using ; GWR approach / Nurul Adila Abdul Rahman

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