S M Purnama and D Y Hutapea and R Permala (2018) Utilization of AIS (Automatic Identification System) Sensor for Mobility Monitoring of Fishing Vessel Based on PFZ (Potential Fishing Zones) Distribution. In: 1st International Conference on Maritime Sciences and Advanced Technology (MSAT), 3-5 Agustus 2017, Universitas Udayana, Denpasar Bali.
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Abstract
Indonesia is known worldwide as an archipelagic country with a vast territory and a country consisting of many islands. The length of the coastline reaches about 81,000 km2, so Indonesia is the largest archipelagic country in the world with two thirds of its territory consisting of oceans. One of the efforts that need to be conducted is to improve the economy and accelerate the development of the marine sector. With this policy, the security of marine and marine resource management is very important. Exclusive Economic Zone (EEZ) and continental foundation are vital areas that need to be guarded and guaranteed for the benefit of maritime sovereignty of the Republic of Indonesia.The development of science and technology of remote sensing, LAPAN in cooperation with IPB to make satellite LAPAN / IPB-A3 or A3LISat. These satellites serve as monitoring of paddy field resources. These satellites are orbiting 14 times a day in the territory of Indonesia is equipped with MS (Automatic Identification System) sensor where the sensor is to monitor the mobility of the ship. The MS sensor can provide location coordinate information and temporarily obtain ships vessel information in Indonesian seas. This research tried to utilize the MS sensor and combined with PFZ (Potential Fishing Zone) information result of remote sensing data and analyzes the mobility of fishing boats recorded by A3 satellite whether it is in accordance with the PFZ information extracted from remote sensing satellite LISat data.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | IOP onference Series Earth and Environmental Science 162 |
Subjects: | Taksonomi LAPAN > Teknologi Penginderaan Jauh > Penelitian, Pengkajian, dan Pengembangan > Teknologi dan Data Penginderaan Jauh > Perolehan Data > Satelit |
Divisions: | LAPAN > Deputi Penginderaan Jauh > Pusat Teknologi dan Data Penginderaan Jauh |
Depositing User: | Administrator Repository |
Date Deposited: | 01 Oct 2021 12:12 |
Last Modified: | 19 Jul 2022 08:56 |
URI: | https://karya.brin.go.id/id/eprint/11540 |