Tuna Fishing Ground Modeling Based on Geographic Information System in Bitung Sea Waters

Abstract

Fishing Ground in the ocean is an area targeted fishing. Predicted zone of Tuna fish caught should by detecting the distribution of chlorophyll-a and sea surface temperature distribution from Aqua MODIS image.  This study aims to predict the local zone tuna fishing in the sea around the city of Bitung based on the distribution of chlorophyll-a and sea surface temperature by using satellite image Aqua MODIS data level-3. A series of research activities conducted in stages are: image collection, image cutting by the desired area, image extraction, data interpolation, map overlay, and the last is the map layout.  The result of sea surface temperature (SST) and chlorophyll-a concentration in the ocean waters of Bitung and surrounding areas shows the chlorophyll-a, and sea surface temperature varies each season. The highest chlorophyll-a distribution is in the second transitional season in September and the lowest in the west season in December. The most top sea surface temperature distribution is in the eastern seasons in June and the lowest in the east of seasons in August. The results showed at some of the most potential fishing points of Tuna in the transitional season II wherein each month in the season potentially forming the Tuna fishing area.

Keywords: Tuna, chlorophyll-a, SST, Aqua, Modis