Main Article Content
Abstract
Satellite remote sensing can be used to detect oceanographic phenomenon such as
sea-surface temperature (SST), chlorophyll concentration, and sea current. Using
NOAA/AVHRR and SeaWiFS satellites, the parameters to estimate potential fishing zone
(PFZ) such sea-surface temperature and chlorophyll concentration can be derived from the
data of them.
This research had been taken place in Natuna Sea-South China Sea. Both sea-surface
temperature and chlorophyll concentration parameters are used to develop potential fishing
zone. Having information of coordinate, the fish catch data are used to determine the optimal
fishing zone by using the spatial analysis. At that time, historical fish catch data is use to
analyze potential fishing by seasons.
A geographic information system (GIS) model has been developed to achieve the goal.
By this approach, the processing of satellite data, fish catch data, and other statistic is easier
to manage. GIS modelling provides a powerful tool for fish forecasting and sustainable
management of living marine resources. With this tool and its provided-coordinate, catching
fish process will be efficient and effective.
Preliminary results of the research show that most potential season for fishing is
during Transition Period I (March – June). While based on monthly approach, the most
potential months for fishing are during April, May, and August.
Keywords: remote sensing, sea surface temperature, chlorophyll, potential fishing zone,
and spatial analysis.
sea-surface temperature (SST), chlorophyll concentration, and sea current. Using
NOAA/AVHRR and SeaWiFS satellites, the parameters to estimate potential fishing zone
(PFZ) such sea-surface temperature and chlorophyll concentration can be derived from the
data of them.
This research had been taken place in Natuna Sea-South China Sea. Both sea-surface
temperature and chlorophyll concentration parameters are used to develop potential fishing
zone. Having information of coordinate, the fish catch data are used to determine the optimal
fishing zone by using the spatial analysis. At that time, historical fish catch data is use to
analyze potential fishing by seasons.
A geographic information system (GIS) model has been developed to achieve the goal.
By this approach, the processing of satellite data, fish catch data, and other statistic is easier
to manage. GIS modelling provides a powerful tool for fish forecasting and sustainable
management of living marine resources. With this tool and its provided-coordinate, catching
fish process will be efficient and effective.
Preliminary results of the research show that most potential season for fishing is
during Transition Period I (March – June). While based on monthly approach, the most
potential months for fishing are during April, May, and August.
Keywords: remote sensing, sea surface temperature, chlorophyll, potential fishing zone,
and spatial analysis.