Abstract

This paper presents an overview of the effectiveness of satellite images with remote sensing applications in determining potential fishing grounds and its applicability for the Indian mackerel (R. kanagurta) in the Malaysian EEZ off the South China Sea. Most oceanic fish species tend to aggregate in large schools that can span tens of kilometers. Thus, finding fish schools and productive fishing areas is the main cause of fuel consumption and ship time expense in many commercial fisheries. In order to lower the cost of fishing operations, there is a need to accurately predict and detect economically fishable aggregations of fish in space and time. Recent studies have shown that the combined use of remote sensing together with statistical analysis and the advancement of geographical information analysis can be used not only to help manage fisheries at sustainable levels but also guide fishing fleets to increase their catch. These modern techniques may facilitate the implementation of an ecosystem-based approach to fisheries management. The assessment of the effectiveness of satellite images in predicting potential fishing grounds and its applicability for the Indian mackerel (R. kanagurta) in Peninsular Malaysia are reviewed.

摘要

本文概述了卫星图像与遥感应用在确定潜在渔场方面的有效性及其对印度鲭鱼（R. kanagurta）的适用性）位于南海附近的马来西亚专属经济区。大多数海洋鱼类倾向于聚集成长达数十公里的大鱼群。因此，寻找鱼群和高产捕捞区是许多商业渔业中燃料消耗和船舶时间费用的主要原因。为了降低捕捞作业成本，需要在空间和时间上准确预测和检测经济上可捕捞的鱼类聚集体。最近的研究表明，遥感与统计分析和地理信息分析的进步相结合，不仅可以帮助以可持续水平管理渔业，还可以指导渔船队增加捕捞量。这些现代技术可能有助于实施基于生态系统的渔业管理方法。对马来西亚半岛的R. kanagurta ）进行了审查。