Benhard Sitohang
Bandung Institute of Technology
Indonesia
Title: Finding New Fishing Grounds Using Sea Surface Temperature Data from Satellite Remote Sensing in case Indonesian Waters
Biography
Biography: Benhard Sitohang
Abstract
Indonesian marine fisheries potential of approximately 65 million tons per year and become the largest in the world, but only about 15 percent exploited (10.5 tons per year). The fish taken from waters that have exceeded the maximum sustainable yield. This is a challenge for us to find new fishing grounds. Remote sensing satellite data utilization is the solution to predict the fishing grounds in Indonesian waters. Fishing grounds can be predicted by observing the phenomenon of upwelling in the ocean waters. Upwelling phenomenon can be detected by analyzing sea surface temperature (SST) data acquired by satellites such as NOAA and Terra/Aqua. Several algorithms have been developed to process satellite data resulting SST similar to actual SST. We develop a model of upwelling detection using SST data from satellites Terra / Aqua MODIS Level 3. We exploit the concept spatiogram to determine upwelling region of interest (RoI) in the study area, then use the structure growing to ensure that the RoI is a valid upwelling. We define indicators upwelling areas where there is a temperature difference of 0.5oC within a radius of 3 km, then all pixels in a radius of 3 km (12 pixels) from the center of mass must be taken into account. We assume the RoI is determined as far as 21 km which is equivalent to 84 pixels. We are still working on intensive research; the results are highly dependent on the quality of the satellite data used, in particular the case of cloud cover.