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Advances in fisheries applications of remote sensing

机译:遥感在渔业中的应用进展

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摘要

During the past four decades the fisheries productivity of the world has been declining due to pressures from overfishing, habitat change, pollution, and climate change. Sustainable use of marine resources requires effective monitoring and management of the world's fish stocks. Remote sensing techniques are being used to help manage fisheries at sustainable levels, while also guiding fishing fleets to locate fish schools more efficiently. Fish tend to aggregate in ocean areas that exhibit conditions favored by specific fish species. Some of the relevant oceanographic conditions, such as sea surface temperature, ocean color (productivity) and oceanic fronts, which strongly influence natural fluctuations of fish stocks, can be observed and measured by remote sensors on satellites and aircraft. The remotely sensed data are provided in near-real time to help fishermen save fuel and ship time during their search for fish; to modelers who produce fisheries forecasts; and to scientists who help develop strategies for sustainable fisheries management. This article describes how acoustic, optical and radar sensors on ships, satellites and aircraft are used with forecast models to improve the management and harvesting of fisheries resources.
机译:在过去的四十年中,由于过度捕捞,栖息地变化,污染和气候变化的压力,世界渔业生产力一直在下降。可持续利用海洋资源需要对世界鱼类种群进行有效的监测和管理。遥感技术正在被用来帮助在可持续水平上管理渔业,同时还指导捕鱼船队更有效地定位鱼群。鱼倾向于聚集在海洋环境中,这些海洋环境表现出特定鱼类所偏爱的条件。可以通过卫星和飞机上的遥感器观察和测量一些相关的海洋学条件,例如海面温度,海洋颜色(生产力)和海锋,这些条件会严重影响鱼类种群的自然波动。几乎实时地提供遥感数据,以帮助渔民在寻找鱼类时节省燃料和运输时间;给制作渔业预报的建模者;以及帮助制定可持续渔业管理策略的科学家。本文介绍了如何将船舶,卫星和飞机上的声,光和雷达传感器与预测模型一起使用,以改善渔业资源的管理和收获。

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