منابع مشابه
Mapping Fishing Effort through AIS Data
Several research initiatives have been undertaken to map fishing effort at high spatial resolution using the Vessel Monitoring System (VMS). An alternative to the VMS is represented by the Automatic Identification System (AIS), which in the EU became compulsory in May 2014 for all fishing vessels of length above 15 meters. The aim of this paper is to assess the uptake of the AIS in the EU fishi...
متن کاملEstimating catches with automatic identification system (AIS) data: a case study of single otter trawl in Zhoushan fishing ground, China
The sailing tracks of single otter trawl vessels were simulated using cubic hermite spline (cHs) interpolation method based on the automatic identification system (AIS) data of 6 sampled vessels that were fishing in the Zhoushan fishing grounds after the close of the fishing season from September 2012 to January 2013. The vessels’ status (i.e. whether the vessels were fishing or not...
متن کاملEstimating catches with automatic identification system (AIS) data: a case study of single otter trawl in Zhoushan fishing ground, China
The sailing tracks of single otter trawl vessels were simulated using cubic hermite spline (cHs) interpolation method based on the automatic identification system (AIS) data of 6 sampled vessels that were fishing in the Zhoushan fishing grounds after the close of the fishing season from September 2012 to January 2013. The vessels’ status (i.e. whether the vessels were fishing or not) were dete...
متن کاملImproving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning
A key challenge in contemporary ecology and conservation is the accurate tracking of the spatial distribution of various human impacts, such as fishing. While coastal fisheries in national waters are closely monitored in some countries, existing maps of fishing effort elsewhere are fraught with uncertainty, especially in remote areas and the High Seas. Better understanding of the behavior of th...
متن کاملCorrection: Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning
[This corrects the article DOI: 10.1371/journal.pone.0158248.].
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2015
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0130746