Estimation of colored dissolved organic matter CDOM and chlorophyll around Marang sea / Mohammad Quyyum Abdul Sarah
This project entitled a study of the estimation of colored dissolved organic matter (CDOM) and chlorophyll by satellite imagery. Colored dissolved organic matter is the largest bio reactive inventory of carbon in the global ocean. It also primarily absorbs light in the UV and visible spectral ran...
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uitm-245382019-06-27T09:23:47Z http://ir.uitm.edu.my/id/eprint/24538/ Estimation of colored dissolved organic matter CDOM and chlorophyll around Marang sea / Mohammad Quyyum Abdul Sarah Abdul Sarah, Mohammad Quyyum GC Oceanography Qualities of water. Water quality This project entitled a study of the estimation of colored dissolved organic matter (CDOM) and chlorophyll by satellite imagery. Colored dissolved organic matter is the largest bio reactive inventory of carbon in the global ocean. It also primarily absorbs light in the UV and visible spectral range affecting the intensity and spectral quality of the light field in the water. Phytoplankton use chlorophyll to carry out photosynthesis, absorbing atmospheric carbon dioxide to produce sugars for fuel. Chlorophyll in the water changes the way it reflects and absorbs sunlight, allowing scientists to map the amount and location of phytoplankton. This project utilizes the images that have been downloaded from USGS. The sensor and satellite that is used is Landsat 8 OLI. These projects have been led by taking after the requirement of the project. For the project, there are three objectives. Firstly, to estimate the concentration of the CDOM and chlorophyll at Marang sea using appropriate algorithms. Generally, the images that have been downloaded from the USGS sites demonstrate the whole universe of the CDOM and chlorophyll area. Next objective will be to detect the trend changes of CDOM and chlorophyll concentration from 5 years of satellite imageries. This objective achieved by selecting the study region by utilizing the Erdas Imagine software. After satisfying the two objectives, next will be the creation of the map. The map that is created can be updated into the chlorophyll and CDOM concentration database for further research. An analysis will be done on the relationship and the trend changes between CDOM and chlorophyll for five years data. Result for the entire project can be made as guide for further research and a better oceanography management. 2019-06-27 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/24538/1/TD_MOHAMMAD%20QUYYUM%20ABDUL%20SARAH%20AP%20R%2019_5.PDF Abdul Sarah, Mohammad Quyyum (2019) Estimation of colored dissolved organic matter CDOM and chlorophyll around Marang sea / Mohammad Quyyum Abdul Sarah. Degree thesis, Universiti Teknologi Mara Perlis. |
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institution |
Universiti Teknologi MARA |
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UiTM Institutional Repository |
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Online Access |
language |
English |
topic |
GC Oceanography Qualities of water. Water quality |
spellingShingle |
GC Oceanography Qualities of water. Water quality Abdul Sarah, Mohammad Quyyum Estimation of colored dissolved organic matter CDOM and chlorophyll around Marang sea / Mohammad Quyyum Abdul Sarah |
description |
This project entitled a study of the estimation of colored dissolved organic matter
(CDOM) and chlorophyll by satellite imagery. Colored dissolved organic matter is the
largest bio reactive inventory of carbon in the global ocean. It also primarily absorbs
light in the UV and visible spectral range affecting the intensity and spectral quality of
the light field in the water. Phytoplankton use chlorophyll to carry out photosynthesis,
absorbing atmospheric carbon dioxide to produce sugars for fuel. Chlorophyll in the
water changes the way it reflects and absorbs sunlight, allowing scientists to map the
amount and location of phytoplankton. This project utilizes the images that have been
downloaded from USGS. The sensor and satellite that is used is Landsat 8 OLI. These
projects have been led by taking after the requirement of the project. For the project,
there are three objectives. Firstly, to estimate the concentration of the CDOM and
chlorophyll at Marang sea using appropriate algorithms. Generally, the images that
have been downloaded from the USGS sites demonstrate the whole universe of the
CDOM and chlorophyll area. Next objective will be to detect the trend changes of
CDOM and chlorophyll concentration from 5 years of satellite imageries. This
objective achieved by selecting the study region by utilizing the Erdas Imagine
software. After satisfying the two objectives, next will be the creation of the map. The
map that is created can be updated into the chlorophyll and CDOM concentration
database for further research. An analysis will be done on the relationship and the
trend changes between CDOM and chlorophyll for five years data. Result for the
entire project can be made as guide for further research and a better oceanography
management. |
format |
Thesis |
author |
Abdul Sarah, Mohammad Quyyum |
author_facet |
Abdul Sarah, Mohammad Quyyum |
author_sort |
Abdul Sarah, Mohammad Quyyum |
title |
Estimation of colored dissolved organic matter CDOM and chlorophyll around Marang sea / Mohammad Quyyum Abdul Sarah |
title_short |
Estimation of colored dissolved organic matter CDOM and chlorophyll around Marang sea / Mohammad Quyyum Abdul Sarah |
title_full |
Estimation of colored dissolved organic matter CDOM and chlorophyll around Marang sea / Mohammad Quyyum Abdul Sarah |
title_fullStr |
Estimation of colored dissolved organic matter CDOM and chlorophyll around Marang sea / Mohammad Quyyum Abdul Sarah |
title_full_unstemmed |
Estimation of colored dissolved organic matter CDOM and chlorophyll around Marang sea / Mohammad Quyyum Abdul Sarah |
title_sort |
estimation of colored dissolved organic matter cdom and chlorophyll around marang sea / mohammad quyyum abdul sarah |
publishDate |
2019 |
url |
http://ir.uitm.edu.my/id/eprint/24538/ http://ir.uitm.edu.my/id/eprint/24538/1/TD_MOHAMMAD%20QUYYUM%20ABDUL%20SARAH%20AP%20R%2019_5.PDF |
first_indexed |
2023-09-18T23:12:48Z |
last_indexed |
2023-09-18T23:12:48Z |
_version_ |
1777418914923282432 |