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Estimating Chlorophyll-a Concentration from Remotely Sensed Data in East Coast of Peninsular Malaysia
A. Asmat Program of Environmental Technology Faculty of Applied Science, University Technology MARA Shah Alam, Selangor rnis_annis@hotmail.com S. B Mansor Faculty of Engineering Universiti Putra Malaysia,Serdang, Selangor shattri@eng.upm.edu.my M. I. Mohamed Faculty of Science and Environmental Studies University Putra Malaysia, Serdang, Selangor mibrahim@fsas.upm.edu.my M. R. Mispan Strategic, Environment and Natural Resources Research Centre (SENR), MARDI radzali@mardi.gov.my
The evolving capabilities of satellite sensors and data processing techniques provide a promising tool towards the development of fish forecasting and management techniques. The light absorbing pigment collectively known as chlorophyll-a is commonly used by oceanography as an index of phytoplankton concentration (Mansor et.al, 2001).
The remote sensing technology has been applied widely in the developed countries in relation to fish productivity (Mansor et.al, 2001). This technique has been applied in Malaysia in upgrading the industrial of fishery. Due to these, the integration between field sampling and remote sensing technique should be improved in order to improve the fishing productivity along the coastal area of Malaysia. The use of satellite remote sensing to provide synoptic measurements of the ocean is becoming increasingly important in fishing industry. Several works on extensively chlorophyll-a can be found in Harding (1992) Mayo and Gitelson (1995), Hirawake (1996). However, these models were not for tropical region especially for Malaysian waters. Mansor et.al (2001) has highlighted the need of operational algorithm for estimation of chlorophyll-a concentration because currently there is no operational algorithm to extract chlorophyll-a for Malaysian waters. In view of this problem this research focuses on measuring the concentration of chlorophyll-a in EEZ of East Coast Peninsular Malaysia from SeaWiFS data. In order to achieve this objective it is essential to determine an empirical relation between the chlorophyll-a and the radiances values recorded by the sensor. This study used SeaWiFS satellite data combined with in-situ data measurement of chlorophyll-a concentration in east coast of Peninsular Malaysia. Algorithm to estimate the chlorophyll-a concentration in the South China Sea generated by computation based on empirical method using radiance ratio of SeaWiFS channel. Data Acquisition Study Area The study area is located at the Economic of Exclusive Zone off the east coast of Peninsular Malaysia. The area lies in an equatorial region dominated by the northeast monsoon (October through March) and the southwest monsoon (May through September). Figure 1 shows the location of the study area. 
Figure 1: Location of the study area lies between 102°E-105°E and 4.5°N- 6°N.
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