首页> 外文会议>ISPRS Technical Commission VIII Mid-Term Symposium >A COMPARATIVE STUDY ON UTILIZATION OF MULTI-SENSOR SATELLITE DATA TO DETECT POTENTIAL FISHING ZONE (PFZ)
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A COMPARATIVE STUDY ON UTILIZATION OF MULTI-SENSOR SATELLITE DATA TO DETECT POTENTIAL FISHING ZONE (PFZ)

机译:多传感器卫星数据检测潜在渔区的利用比较研究(PFZ)

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The satellite oceanography reveals the rolls on Potential Fishing Zone (PFZ) advisories in India is limited by the availability of the satellite data during the cloudy days and for the cloudy areas, because of the inability of the passive sensors to pass through the clouds. However, there is a huge demand from the fishermen community to provide PFZ advisories on cloudy days / monsoon period also as the period corresponds to the peak fishing season. Keeping in view of the demand and availability of the optimally interpolated merged product from Altimetry, it is proposed to utilize 4 km SST product obtained from the AVHRR. In view of this, a comparative analysis has been carried out on the feasibility of utilization of the Altimetry product for identification of PFZ Advisories. The analysis is carried out the synergize study on existing in AVHRR SST product are really matching with the high resolution EKE and SSHA products derived from Altimetry. From the analysis it was found that the Altimetry product is suitable for identifying cold core generation of waters for PFZ advisories with certain limitations. Also persistence of the ocean color environmental variables is cross-verified with catch weight observed from In-situ observation. The overall analysis derived from ocean color and altimetry products for delineating potential fishing zones enhance flawless information for future research.
机译:卫星海洋学揭示了印度潜在渔区(PFZ)展会的卷,这是在阴天卫星数据的可用性的限制,因为无源传感器不能通过云层。然而,渔民社区的需求巨大需求,在阴天/季风期间提供PFZ建议,因为期限对应于捕捞季节。鉴于从Altimetry的最佳插值合并产品的需求和可用性,建议采用从AVHRR获得的4公里的SST产品。鉴于此,已经对用于识别PFZ建议的高度偏移产品的可行性进行了比较分析。分析进行了AVHRR SST产品中存在的协同研究与从高度偏移得出的高分辨率EKE和SSHA产品匹配。从分析中发现,Altimetry产品适用于识别具有某些限制的PFZ建议的冷核生成水域。此外,海洋彩色环境变量的持续存在于原位观察中观察到的捕获重量。用于划定潜在钓鱼区的海洋颜色和高度偏移产品的总体分析增强了未来研究的完美信息。

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