Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data

Improved estimation of trawling tracks using cubic Hermite spline interpolation of position registration data
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DOI:
10.1016/j.fishres.2009.09.014
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发表时间:
2010-01-05
期刊:
影响因子:
2.4
通讯作者:
Brunel, Thomas
Brunel, Thomas
中科院分区:
农林科学2区
文献类型:
--
作者:
Hintzen, Niels T.;Piet, Gerjan J.;Brunel, Thomas

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为管制和执法目的,在欧洲沃茨作业的所有渔船都配备了卫星渔船监测系统,定期记录渔船的位置。科学家越来越多地使用渔船监测系统数据来研究捕捞活动的空间和时间模式,从而研究捕捞影响(例如,在捕鱼过程中拖网捕捞的海床表面)。然而,由于其低分辨率(2小时的基础上),这些数据可能会提供一个有偏见的看法捕鱼的影响。我们在这里提出了一种方法,旨在从渔船监测系统数据点插值船舶轨迹,以获得更高分辨率的船舶轨迹数据,这反过来又应该提供更好的估计的空间和时间格局的捕捞活动,因此捕捞的影响。该方法是基于样条插值技术,三次Hermite样条(cHs),使用位置,航向和速度插入拖网的两个连续的VMS数据点之间的船只的轨迹。为了考虑到内插轨迹的不确定性,该方法还确定置信区间,该置信区间表示两个连续VMS位置之间的船舶存在概率的空间分布。cHs方法进行了比较,直线插值技术使用的参考数据集的间隔为6分钟,这是假定代表真实的拖网轨迹。结果表明,cHs法比直线插值法更接近真实的拖网轨迹。因此,在旨在根据渔船监测系统数据估计捕捞影响的研究中,cHs法应优于传统的直线法,以内插船只航迹。(C)2009爱思唯尔有限公司版权所有。
For control and enforcement purposes, all fishing vessels operating in European waters are equipped with satellite-based Vessel Monitoring by Satellite systems (VMS) recording their position at regular time intervals. VMS data are increasingly used by scientists to study spatial and temporal patterns of fishing activity and thus fishing impact (e.g. surface of sea bed trawled during a fishing trip). However, due to their low resolution (2 h basis), these data may provide a biased perception of fishing impact. We present here a method aiming at interpolating vessel trajectories from VMS data points to obtain higher-resolution data on vessel trajectories which in turn should provide improved estimates of the spatial and temporal patterns of fishing activity and hence fishing impact. This method is based on a spline interpolation technique, the cubic Hermite spline (cHs), using position, heading and speed to interpolate the trawl track of a vessel between two succeeding VMS data points. To take uncertainty of the interpolated track into account, the method also determines a confidence interval, which represents the spatial distribution of vessel presence probability between two successive VMS positions. The cHs method was compared to the straight line interpolation technique using a reference data set with intervals of 6 min which was assumed to represent the real trawl tracks. The results showed that the cHs method approximates the real trawl track markedly better than a straight line interpolation. The cHs method should therefore be preferred to the conventional straight line approach to interpolate vessel tracks in studies aiming at estimating fishing impact from VMS data. (C) 2009 Elsevier B.V. All rights reserved.