Thaminthiran Ramasamy

 

“This is my first year studying under Institute of Geospatial Science & Technology (INSTEG).
The working environment can be described as ‘open, relaxed, interesting and above all fun’.
I work with a great team of people coming from various background and I learned a lot of
new things from them. Working in this place with individual and as part of team will helps
in achieve my research goals and objectives. I’m really glad that I continue my studies
under INSTEG.”

..
 Name .. : ..  Thaminthiran Ramasamy
.. .. ..
 Research Interest .. : ..  Algorithm modification for Chlorophyll-a detection
.. .. ..
 Contact No (Office) .. : ..  + (60) 13 353 4692
.. .. ..
 E-mail .. : ..  thamin1612@gmail.com
.. .. ..
 Present Position .. : ..  Candidate of MSc Student (Full time)
.. .. ..
 Supervisor : ..  Dr. Mohd Nadzri bin Md Reba
…………………………..
 Education : ..  B. Sc. (Remote Sensing), Universiti Teknologi Malaysia
…………………………..
 Research Projects : ..  – ..
…………………………..
 Discription  …………..  : .. Chlorophyll-a (Chl-a) concentration which is derived from phytoplankton abundance is used as an indicator to describe the
………….. .. marine ecosystem (Pan et al. 2010, Sumardi et al. 2012). Currently, the only way to acquire frequent measurement is through remote sensing and conventional method is not practical and also costly. The current optical sensors which are widely used for Chl-a retrieval are Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer (MODIS). Both sensors has its own algorithm for Chl-a retrieval which are OC4v4 for global SeaWiFS and OC3M for global MODIS. Global algorithm do not always provide reasonable retrievals in all areas of the ocean, especially in coastal region due to the influence of suspended sediment, gelbstoff or yellow substance, river discharge and coastal pollution from land which gives overestimation of Chl-a concentration. According to Pan et al. (2010), an empirical algorithm depends on how good the data and on how representative the data are of the environment or bio-optical provinces where the algorithm is to be applied. Past research in coastal region shows that revised or new algorithm is needed for reasonable retrieval of Chl-a. Therefore, this study is done to determine the performance of current global algorithm and to modify the global algorithm so that it can achieve immediate applicability of Chl-a retrieval in the coastal region. This study focuses on the on the Pahang coastal region in east Peninsular Malaysia.
Research Ecosystem
Universiti Teknologi Malaysia UTM Nexus - Research & Innovation

Office of Deputy Vice Chancellor (Research & Innovation)

DVCRI Profile Johor Bahru Office Kuala Lumpur Office

Higher Institution Centre of Excellence (HI-COE)

Advance Membrane Technology Research Centre - AMTEC Institute of Noise & Vibration - INV Wireless Communication Centre - WCC

Research Institute

Centre of Excellence (COE)

Institute of High Voltage & High Current - IVAT UTM-MPRC Institue for Oil & Gas - IFOG Centre for Artificial Intelligence & Robotics - CAIRO Centre for Engineering Education - CEE Centre for Advanced Composite Materials - CACM Innovation Centre in Agritechnology for Advanced Bioprocessing - ICA Institute of Bioproduct Development - IBD

Service Entity

Research Management Centre - RMC Penerbit UTM Press Centre for Community & Industry Network - CCIN Innovation & Commercialisation Centre - ICC University Laboratory Management Centre - PPMU Institut Sultan Iskandar - UTM-ISI

Get the latest news & events

Customer Satisfaction Index