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Detection of aquaculture structures using Sentinel-1 data

机译:使用Sentinel-1数据检测水产养殖结构

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In recent years the FAO Fisheries and Aquaculture Department has been carrying out strategies and policies aimed at improving the regulatory laws on aquaculture and fisheries activities for increasing both the management efficiency and environmental protection associated to this task. In this field, the role of temporal and geo-spatial analysis of remotely sensed data has been acknowledged as an important source of complementary information for inventory and monitoring of such marine facilities. In case of radar imaging sensors there exists a scarce literature devoted to the topic which has been focused on the detection of coastal and offshore aquaculture structures. This contribution explores the sensitivity of Sentinel-1 coherent dual-polarised data for two different aquaculture structures, i.e. fish cages and floating mussel production systems. Our hypothesis concerns the usefulness of this tool to develop spatial planning programs of aquaculture and to analyse the relationship of selected locations with oceanographic processes.
机译:近年来,粮农组织渔业和水产养殖部一直在执行旨在改善有关水产养殖和渔业活动的法规的战略和政策,以提高与此任务相关的管理效率和环境保护。在这一领域,对遥感数据进行时空和地理空间分析的作用已被公认为是补充信息的重要来源,用于补充和监测此类海洋设施。在使用雷达成像传感器的情况下,很少有文献专门针对该主题,这些文献集中在沿海和近海水产养殖结构的检测上。该贡献探讨了Sentinel-1相干双极化数据对于两种不同水产养殖结构(即鱼笼和浮蚌生产系统)的敏感性。我们的假设涉及该工具在制定水产养殖空间规划计划以及分析选定地点与海洋学过程之间的关系方面的实用性。

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