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040 |aCaOODSP|beng|erda|cCaOODSP
041 |aeng|beng|bfre
043 |an-cn---
0861 |aFs97-18/360E-PDF
1001 |aGuo, Lanli, |eauthor.
24512|aA Python package for decoding Automatic Identification System (AIS) data from the Canadian Coast Guard / |cby Lanli Guo, Jinshan Xu, Shihan Li and Jessica Wingfield.
264 1|aDartmouth, Nova Scotia : |bOcean and Ecosystem Sciences Division, Fisheries and Oceans Canada, Bedford Institute of Oceanography, |c2023.
264 4|c©2023
300 |a1 online resource (vi, 57 pages) : |bcharts, maps.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |aCanadian technical report of hydrography and ocean sciences ; |x1488-5417 ; |v360.
504 |aIncludes bibliographical references (pages 19-20).
520 |a"The Automatic Identification System (AIS) is an automated tracking system that is used in the shipping industry for monitoring global vessel traffic. Beyond its primary purpose of supporting the safety of life at sea by reducing vessel collision risk, AIS data can be used to better understand vessel impacts on the environment, such as underwater noise and vessel strike risks in whale habitat and migration routes. Before AIS data can be used for these purposes, the raw datasets must be decoded from ASCII formats. This report describes a package of Python scripts and programs which were developed to decode AIS data collected and provided by the Canadian Coast Guard"--Abstract.
546 |aIncludes abstract in French.
650 0|aShips|xAutomatic identification systems|zAtlantic Coast (Canada)
650 0|aShipping|xEnvironmental aspects|zAtlantic Coast (Canada)
650 6|aSystèmes d'identification automatique (Transports maritimes)|zAtlantique, Côte de l' (Canada)
650 6|aTransports maritimes|xAspect de l'environnement|zAtlantique, Côte de l' (Canada)
7101 |aCanada. |bDepartment of Fisheries and Oceans, |eissuing body.
7102 |aBedford Institute of Oceanography, |eissuing body.
830#0|aCanadian technical report of hydrography and ocean sciences,|x1488-5417 ; |v360.|w(CaOODSP)9.504781
85640|qPDF|s1.63 MB|uhttps://publications.gc.ca/collections/collection_2023/mpo-dfo/Fs97-18-360-eng.pdf