渔业遥感应用进展

V. Klemas
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引用次数: 1

摘要

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。海洋资源的可持续利用需要对世界鱼类资源进行有效的监测和管理。遥感技术正在被用于帮助以可持续的水平管理渔业,同时也指导捕鱼船队更有效地确定鱼群的位置。鱼类倾向于聚集在表现出特定鱼类有利条件的海洋区域。一些有关的海洋学条件,如海面温度、海洋颜色(生产力)和海洋锋面,对鱼类种群的自然波动有很大影响,可以通过卫星和飞机上的遥感器进行观察和测量。遥感数据以接近实时的方式提供,帮助渔民在寻找鱼类时节省燃料和船舶时间;对制作渔业预报的建模者;以及帮助制定可持续渔业管理战略的科学家。本文介绍了船舶、卫星和飞机上的声学、光学和雷达传感器如何与预报模型一起使用,以改善渔业资源的管理和捕捞。
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Advances in fisheries applications of remote sensing
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.
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