Estimation of total suspended solid [TSS] using Landsat 8 Oli / Nursyahida Ruslee

The irresponsible discharge to the river becomes major issues and it cause pollution in the river. The Department of Environment (DOE) was use six parameters to calculate the water quality such as Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Ammoniacal Nitrog...

Full description

Bibliographic Details
Main Author: Ruslee, Nursyahida
Format: Thesis
Language:English
Published: 2020
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/28294/
http://ir.uitm.edu.my/id/eprint/28294/1/TD_NURSYAHIDA%20RUSLEE%20AP%20R%2019_5.pdf
id uitm-28294
recordtype eprints
spelling uitm-282942020-02-12T06:18:10Z http://ir.uitm.edu.my/id/eprint/28294/ Estimation of total suspended solid [TSS] using Landsat 8 Oli / Nursyahida Ruslee Ruslee, Nursyahida GA Mathematical geography. Cartography The irresponsible discharge to the river becomes major issues and it cause pollution in the river. The Department of Environment (DOE) was use six parameters to calculate the water quality such as Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Ammoniacal Nitrogen (NH3-N), Suspended Solids (SS), and PH. However, eroded materials entering water body will be suspended and accumulated. Suspended Materials or Total Suspended Solid (TSS) will increase the turbidity of water, which can affect the quality of water. Remote Sensing technology can be used to estimate Total Suspended Solid (TSS). The objective of this study was 1) to determine the suitable bands for TSS estimation. 2) To estimate spatial distribution of TSS using selected band. The method used for modelling the TSS using correlation analysis and regression analysis. The data used is the empirical modelling single band of visible, NIR and SWIR of Landsat 8 OLI and field data collection conducted by Department of Environment (DOE). In conclude, the results revealed that mapping the distribution and estimated value of TSS in Klang River can be performed more suitable in band 3. This is because, the Standard Error (SE) of predicted TSS value is 10.24 mg/L lower from another band. 2020-02-11 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/28294/1/TD_NURSYAHIDA%20RUSLEE%20AP%20R%2019_5.pdf Ruslee, Nursyahida (2020) Estimation of total suspended solid [TSS] using Landsat 8 Oli / Nursyahida Ruslee. Degree thesis, Universiti Teknologi Mara Perlis.
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic GA Mathematical geography. Cartography
spellingShingle GA Mathematical geography. Cartography
Ruslee, Nursyahida
Estimation of total suspended solid [TSS] using Landsat 8 Oli / Nursyahida Ruslee
description The irresponsible discharge to the river becomes major issues and it cause pollution in the river. The Department of Environment (DOE) was use six parameters to calculate the water quality such as Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Ammoniacal Nitrogen (NH3-N), Suspended Solids (SS), and PH. However, eroded materials entering water body will be suspended and accumulated. Suspended Materials or Total Suspended Solid (TSS) will increase the turbidity of water, which can affect the quality of water. Remote Sensing technology can be used to estimate Total Suspended Solid (TSS). The objective of this study was 1) to determine the suitable bands for TSS estimation. 2) To estimate spatial distribution of TSS using selected band. The method used for modelling the TSS using correlation analysis and regression analysis. The data used is the empirical modelling single band of visible, NIR and SWIR of Landsat 8 OLI and field data collection conducted by Department of Environment (DOE). In conclude, the results revealed that mapping the distribution and estimated value of TSS in Klang River can be performed more suitable in band 3. This is because, the Standard Error (SE) of predicted TSS value is 10.24 mg/L lower from another band.
format Thesis
author Ruslee, Nursyahida
author_facet Ruslee, Nursyahida
author_sort Ruslee, Nursyahida
title Estimation of total suspended solid [TSS] using Landsat 8 Oli / Nursyahida Ruslee
title_short Estimation of total suspended solid [TSS] using Landsat 8 Oli / Nursyahida Ruslee
title_full Estimation of total suspended solid [TSS] using Landsat 8 Oli / Nursyahida Ruslee
title_fullStr Estimation of total suspended solid [TSS] using Landsat 8 Oli / Nursyahida Ruslee
title_full_unstemmed Estimation of total suspended solid [TSS] using Landsat 8 Oli / Nursyahida Ruslee
title_sort estimation of total suspended solid [tss] using landsat 8 oli / nursyahida ruslee
publishDate 2020
url http://ir.uitm.edu.my/id/eprint/28294/
http://ir.uitm.edu.my/id/eprint/28294/1/TD_NURSYAHIDA%20RUSLEE%20AP%20R%2019_5.pdf
first_indexed 2023-09-18T23:19:58Z
last_indexed 2023-09-18T23:19:58Z
_version_ 1777419365635850240