Monitoring spatial and temporal variation of ocean productivity in the Bay of Bengal using remote sensing

Ocean productivity plays an important role in the global carbon cycle, climate change and food supply. An alarming issue about the ocean productivity is that it is decreasing gradually in most world biomes where the decreasing rate in certain oceans, such as in the Bay of Bengal is higher as compare...

Full description

Saved in:
Bibliographic Details
Main Author: Sabarudin, Noor Saadah
Format: Thesis
Language:English
Published: 2017
Subjects:
Online Access:http://eprints.utm.my/id/eprint/78900/1/NoorSaadahSabarudinMFGHT2017.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-utm-ep.78900
record_format uketd_dc
spelling my-utm-ep.789002018-09-17T07:23:00Z Monitoring spatial and temporal variation of ocean productivity in the Bay of Bengal using remote sensing 2017-02 Sabarudin, Noor Saadah G70.39-70.6 Remote sensing Ocean productivity plays an important role in the global carbon cycle, climate change and food supply. An alarming issue about the ocean productivity is that it is decreasing gradually in most world biomes where the decreasing rate in certain oceans, such as in the Bay of Bengal is higher as compared to other oceans. Although historically the Bay of Bengal is less productive as compared to the other oceans, there are large number of population living along the coastal areas depend on food supply from this bay. Therefore, productivity of the Bay of Bengal is very crucial and this study investigates the trend of ocean productivity by monitoring the long term variation of Chlorophyll-a concentration, and its relationships with sea surface temperature, precipitation and ocean current. Several steps of processing were adopted, which includes i) estimate the spatial and temporal variation of all parameters, ii) examine the variation of all parameters along the five selected transects from coastal to offshore area, iii) perform change detection of all parameters, and iv) investigate relationships between Chlorophyll-a and all other parameters. Results indicated several aspects, such as i) ocean productivity in the Bay of Bengal varies spatially and seasonally, ii) during northeast monsoon, Chlorophyll-a concentration in the western part of the bay is remarkably high but low in other parts particularly in the middle part of the bay, iii) during southwest monsoon, the observed Chlorophyll-a concentration is high in the south-western and north-western part of the bay, whereas the middle part of the bay maintains low productive, iv) anomaly of Chlorophyll-a concentration is high (1 to 2.5 mg/m³) in coastal area and very low (less than 0.5 mg/m3) in the offshore area, v) low Chlorophyll-a area (0-0.10 mg/m³) fluctuates highly from year to year, while very less fluctuation observed in high Chlorophyll-a concentrated area (1-6.5 mg/m³), vi) sea surface temperature and precipitation are normally higher during southwest monsoon as compared to northeast monsoon, and vii) strong ocean current was observed in western part of bay during both seasons. As conclusion, this study highlights the potential of remote sensing technique in monitoring ocean productivity, and identified that the productivity of the Bay of Bengal is changing with no constant rate of change from year to year. The rate of change depends on several factors including temperature, precipitation, ocean current, and location. 2017-02 Thesis http://eprints.utm.my/id/eprint/78900/ http://eprints.utm.my/id/eprint/78900/1/NoorSaadahSabarudinMFGHT2017.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:108781 masters Universiti Teknologi Malaysia, Faculty of Geoinformation and real estate Faculty of Geoinformation and real estate
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic G70.39-70.6 Remote sensing
spellingShingle G70.39-70.6 Remote sensing
Sabarudin, Noor Saadah
Monitoring spatial and temporal variation of ocean productivity in the Bay of Bengal using remote sensing
description Ocean productivity plays an important role in the global carbon cycle, climate change and food supply. An alarming issue about the ocean productivity is that it is decreasing gradually in most world biomes where the decreasing rate in certain oceans, such as in the Bay of Bengal is higher as compared to other oceans. Although historically the Bay of Bengal is less productive as compared to the other oceans, there are large number of population living along the coastal areas depend on food supply from this bay. Therefore, productivity of the Bay of Bengal is very crucial and this study investigates the trend of ocean productivity by monitoring the long term variation of Chlorophyll-a concentration, and its relationships with sea surface temperature, precipitation and ocean current. Several steps of processing were adopted, which includes i) estimate the spatial and temporal variation of all parameters, ii) examine the variation of all parameters along the five selected transects from coastal to offshore area, iii) perform change detection of all parameters, and iv) investigate relationships between Chlorophyll-a and all other parameters. Results indicated several aspects, such as i) ocean productivity in the Bay of Bengal varies spatially and seasonally, ii) during northeast monsoon, Chlorophyll-a concentration in the western part of the bay is remarkably high but low in other parts particularly in the middle part of the bay, iii) during southwest monsoon, the observed Chlorophyll-a concentration is high in the south-western and north-western part of the bay, whereas the middle part of the bay maintains low productive, iv) anomaly of Chlorophyll-a concentration is high (1 to 2.5 mg/m³) in coastal area and very low (less than 0.5 mg/m3) in the offshore area, v) low Chlorophyll-a area (0-0.10 mg/m³) fluctuates highly from year to year, while very less fluctuation observed in high Chlorophyll-a concentrated area (1-6.5 mg/m³), vi) sea surface temperature and precipitation are normally higher during southwest monsoon as compared to northeast monsoon, and vii) strong ocean current was observed in western part of bay during both seasons. As conclusion, this study highlights the potential of remote sensing technique in monitoring ocean productivity, and identified that the productivity of the Bay of Bengal is changing with no constant rate of change from year to year. The rate of change depends on several factors including temperature, precipitation, ocean current, and location.
format Thesis
qualification_level Master's degree
author Sabarudin, Noor Saadah
author_facet Sabarudin, Noor Saadah
author_sort Sabarudin, Noor Saadah
title Monitoring spatial and temporal variation of ocean productivity in the Bay of Bengal using remote sensing
title_short Monitoring spatial and temporal variation of ocean productivity in the Bay of Bengal using remote sensing
title_full Monitoring spatial and temporal variation of ocean productivity in the Bay of Bengal using remote sensing
title_fullStr Monitoring spatial and temporal variation of ocean productivity in the Bay of Bengal using remote sensing
title_full_unstemmed Monitoring spatial and temporal variation of ocean productivity in the Bay of Bengal using remote sensing
title_sort monitoring spatial and temporal variation of ocean productivity in the bay of bengal using remote sensing
granting_institution Universiti Teknologi Malaysia, Faculty of Geoinformation and real estate
granting_department Faculty of Geoinformation and real estate
publishDate 2017
url http://eprints.utm.my/id/eprint/78900/1/NoorSaadahSabarudinMFGHT2017.pdf
_version_ 1747818099001786368