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            <gco:CharacterString>Vessels using VMS data and AIS data were identified, available VMS (only) as 
well as VMS &amp; AIS data interpolated to have vessel positional data for every 
20 minute for each vessel. Depending on gear group, the fishing activity was 
identified and translated into fishing effort. A detailed description of the 
methods is published as T Mendo, A Mujal-Colilles, J Stounberg, G Glemarec, J 
Egekvist, E Mugerza, M Rufino, R Swift, M James, A workflow for standardizing 
the analysis of highly resolved vessel tracking data, *ICES Journal of 
Marine Science*, Volume 81, Issue 2, March 2024, Pages 390–401, 
`https://doi.org/10.1093/icesjms/fsad209`_ as well as in Mendo, T.; Ransijn, 
J.; Durbach, I. Gibson, T.; James, M.; Swift, R.; Muench, A. Identifying the 
recent spatial distribution of fishing activities in the UK EEZ – a report on 
methods used. Report produced for The Crown Estate, OWEC funded project: 
FiSMaDiM, 11 pages. Doi: `https://doi.org/10.14465/2024.OWEC.003`_

Within the FiSMaDiM (Fisheries Sensitivity Mapping and Displacement Modelling) 
project, a method was developed to estimate fishing effort information derived 
from VMS (Vessel Monitoring System) data augmented by AIS (Automatic 
Identification System) data. Based on information provided by MMO (Marine 
Management Organisation), MCA (Maritime and Coastguard Agency), fleet 
register, global fishing watch and marine traffic, AIS (UK and non-UK-flagged 
vessels) data was added to augment information on fishing effort within the UK 
EEZ (Exclusive Economic Zone) as derived from VMS (only UK-flagged vessels) 
data provided by MMO. 


.. _`https://doi.org/10.1093/icesjms/fsad209`:
    https://doi.org/10.1093/icesjms/fsad209

.. _`https://doi.org/10.14465/2024.owec.003`:
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