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...
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| Format: | Thesis |
| Language: | English |
| Published: |
2020
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| Online Access: | https://ir.uitm.edu.my/id/eprint/28294/ |
| _version_ | 1848807001207865344 |
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| author | Ruslee, Nursyahida |
| author_facet | Ruslee, Nursyahida |
| author_sort | Ruslee, Nursyahida |
| building | UiTM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T22:35:52Z |
| format | Thesis |
| id | uitm-28294 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T22:35:52Z |
| publishDate | 2020 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-282942020-02-12T06:18:10Z https://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 https://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. (2020) Degree thesis, thesis, Universiti Teknologi Mara Perlis. |
| spellingShingle | GA Mathematical geography. Cartography Ruslee, Nursyahida Estimation of total suspended solid [TSS] using Landsat 8 Oli / Nursyahida Ruslee |
| title | 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_short | 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 |
| topic | GA Mathematical geography. Cartography |
| url | https://ir.uitm.edu.my/id/eprint/28294/ |