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首页> 外文期刊>International journal of remote sensing >Prioritization of satellite-derived potential fishery grounds: an analytical hierarchical approach-based model using spatial and non-spatial data
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Prioritization of satellite-derived potential fishery grounds: an analytical hierarchical approach-based model using spatial and non-spatial data

机译：优先确定源自卫星的潜在渔场：使用空间和非空间数据的基于层次分析方法的模型

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摘要

Forecast of potential fishing grounds can save considerable amounts of fuel and time involved in marine fishing operations, making the operation more profitable. This study investigates the prospects of using a decision support system for forecasting potential fishery zones and prioritizing them according to profitability using multi-criteria analysis. Ocean Colour Monitor-derived chlorophyll concentration and National Oceanic and Atmospheric Administration Advanced Very High Resolution Radiometer-derived sea surface temperature maps were integrated to demarcate the potential fishery zones (PFZs). QuickSCAT (NASA) scatterometer wind data obtained from the global 25 km × 25 km gridded dataset were used for updating the locations of PFZ features. An analytical hierarchy process-based prioritization model, which considers different parameters favouring a targeted species, distance to the zone and historical catch per unit effort as the major decision-making parameters, was used to rank the zones based on feasibility. A software package was developed incorporating the above-mentioned functionalities for automatic data processing and PFZ map generation.
机译：预测潜在的渔场可以节省大量的燃料和海洋捕捞作业所需的时间，从而使该作业更有利可图。这项研究调查了使用决策支持系统预测潜在渔业区域并使用多准则分析根据获利能力对它们进行优先排序的前景。海洋色彩监测器得出的叶绿素浓度和国家海洋与大气管理局先进的超高分辨率辐射计得出的海面温度图被整合起来，以划定潜在的渔业区（PFZs）。从全球25 km×25 km网格数据集中获得的QuickSCAT（NASA）散射仪风数据用于更新PFZ要素的位置。使用基于层次分析法的优先级排序模型，该模型将有利于目标物种的不同参数，到区域的距离和单位工作的历史捕获量作为主要决策参数，用于根据可行性对区域进行排名。开发了包含上述功能的软件包，用于自动数据处理和PFZ地图生成。

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  • 来源
    《International journal of remote sensing》 |2009年第18期|4479-4491|共13页
  • 作者

    R. VINU CHANDRAN; A. JEYARAM; V. JAYARAMAN; S. MANOJ; K. RAJITHA; C. K. MUKHERJEE;

  • 作者单位

    Regional Remote Sensing Service Centre (ISRO), Kharagpur 721302, India;

    Regional Remote Sensing Service Centre (ISRO), Kharagpur 721302, India;

    Indian Space Research Organisation Head Quarters, Bangalore 560094, India;

    Agricultural and Food Engineering Department, IIT Kharagpur 721302, India;

    Agricultural and Food Engineering Department, IIT Kharagpur 721302, India;

    Agricultural and Food Engineering Department, IIT Kharagpur 721302, India;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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