首页> 外文会议>2006 IEEE US/EU Baltic International Symposium >Identification of large pelagic marine fish habitats and habitat utilization using ‘pop-up’ satellite archival tag and oceanic satellite remote sensing technologies and ‘SODA’ simple ocean data simulation model analyses
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Identification of large pelagic marine fish habitats and habitat utilization using ‘pop-up’ satellite archival tag and oceanic satellite remote sensing technologies and ‘SODA’ simple ocean data simulation model analyses

机译:使用“弹出式”卫星档案标签和海洋卫星遥感技术以及“ SODA”简单海洋数据模拟模型分析来识别大型中上层鱼类的栖息地并利用其栖息地

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Large pelagic fishes (tuna, billfish, and sharks) are being tagged with `pop-up' satellite archive electronic sensors (PSAT), which measure and log detailed data on the swimming environment of the fish, as well as light data, which are used to estimate the geographic locations of the fish. At predetermined periods the sensors are programmed to `pop-off' the fish, float to the sea surface, and transmit the data collected to Argos satellites, which relay the data to ground stations on earth. Processing of these data provides detailed time-history information on the environment and estimated locations of individual free-swimming fish. The resulting information is then examined in conjunction with ocean measurements and data products derived from various satellite ocean sensors including sea surface temperature, ocean color, and ocean winds, as well as SODA ocean data assimilation model analyses. The fish habitats are thus defined in the context of surrounding ocean conditions, measured contemporaneously by oceanic satellite remote sensing and derived from outputs from the SODA ocean simulation model. An important aspect of this approach is that it provides the opportunity to identify, and subsequently monitor with satellite remote sensing, ocean features, processes, and properties that may play important roles in determining spatial and temporal variations in marine fish habitats. Data are presented that demonstrate this approach for blue shark, Prionace glauca.
机译:大型中上鱼类(金枪鱼,比目鱼和鲨鱼)被标记为“弹出式”卫星档案电子传感器(PSAT),该传感器测量并记录有关鱼类游泳环境的详细数据以及光数据。用于估计鱼的地理位置。在预定的时间段,将传感器编程为“弹出”鱼,漂浮到海面,然后将收集的数据传输到Argos卫星,后者将数据中继到地球上的地面站。这些数据的处理提供了有关环境的详细时间历史信息以及各个自由游动鱼类的估计位置。然后,结合从各种卫星海洋传感器获得的海洋测量值和数据产物(包括海面温度,海洋颜色和海洋风)以及SODA海洋数据同化模型分析,来检查所得的信息。因此,鱼类栖息地是在周围海洋条件下定义的,由海洋卫星遥感同时测量并从SODA海洋模拟模型的输出中得出。这种方法的一个重要方面是,它提供了机会,可以识别并随后利用卫星遥感监测海洋特征,过程和特性,这些特性在确定海洋鱼类栖息地的时空变化中可能发挥重要作用。所提供的数据证明了蓝鲨(Prionace glauca)的这种方法。

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