Ergebnis 9 von 3626
Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...

Details

Autor(en) / Beteiligte
Titel
Utilization of AIS (Automatic Identification System) sensor for mobility monitoring of fishing vessel based on PFZ (Potential Fishing Zones) distribution
Ist Teil von
  • IOP conference series. Earth and environmental science, 2018-06, Vol.162 (1), p.12040
Ort / Verlag
Bristol: IOP Publishing
Erscheinungsjahr
2018
Link zum Volltext
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
  • 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 AIS (Automatic Identification System) sensor where the sensor is to monitor the mobility of the ship. The AIS sensor can provide location coordinate information and temporarily obtain ships vessel information in Indonesian seas. This research tried to utilize the AIS 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.
Sprache
Englisch
Identifikatoren
ISSN: 1755-1307
eISSN: 1755-1315
DOI: 10.1088/1755-1315/162/1/012040
Titel-ID: cdi_iop_journals_10_1088_1755_1315_162_1_012040

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX