Publications

Ardianto, R; Setiawan, A; Hidayat, JJ; Zaky, AR (2017). Development of an automated processing system for potential fishing zone forecast. 3RD INTERNATIONAL SYMPOSIUM ON LAPAN-IPB SATELLITE FOR FOOD SECURITY AND ENVIRONMENTAL MONITORING 2016, 54, UNSP 012081.

Abstract
The Institute for Marine Research and Observation (IMRO) - Ministry of Marine Affairs and Fisheries Republic of Indonesia (MMAF) has developed a potential fishing zone (PFZ) forecast using satellite data, called Peta Prakiraan Daerah Penangkapan Ikan (PPDPI). Since 2005, IMRO disseminates everyday PPDPI maps for fisheries marine ports and 3 days average for national areas. The accuracy in determining the PFZ and processing time of maps depend much on the experience of the operators creating them. This paper presents our research in developing an automated processing system for PPDPI in order to increase the accuracy and shorten processing time. PFZ are identified by combining MODIS sea surface temperature (SST) and chlorophyll-a (CHL) data in order to detect the presence of upwelling, thermal fronts and biological productivity enhancement, where the integration of these phenomena generally representing the PFZ. The whole process involves data download, map geo-process as well as layout that are carried out automatically by Python and ArcPy. The results showed that the automated processing system could be used to reduce the operator's dependence on determining PFZ and speed up processing time.

DOI:
10.1088/1755-1315/54/1/012081

ISSN:
1755-1307