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Improved exploration of fishery resources through the integration of remotely sensed merged Sea level anomaly, Chlorophyll concentration, and Sea surface temperature

机译:通过遥感合并的海平异常,叶绿素浓度和海表面温度的整合改善了渔业资源的探索

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The capabilities of evolving satellite remote sensing technology, combined with conventional data collection techniques, provide a powerful tool for efficient and cost effective management of living marine resources. Fishes are the valuable living marine resources producing food, profit and pleasure to the human community. Variations in oceanic condition play a role in natural fluctuations of fish stocks. The Satellite Altimeter derived Merged Sea Level Anomaly(MSLA) results in the better understanding of ocean variability and mesosclae oceanography and provides good possibility to reveal the zones of high dynamic activity. This study comprised the synergistic analysis of signatures of SEAWIFS derived chlorophyll concentration, National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer(NOAA-AVHRR) derived Sea Surface Temperature and the monthly Merged Sea Level Anomaly data derived from Topex/Poseidon, Jason-1 and ERS-1 Altimeters for the past 7 years during the period from 1998 to 2004. The overlapping Chlorophyll, SST and MSLA were suggested for delineating Potential Fishing Zones (PFZs). The Chlorophyll and SST data set were found to have influenced by short term persistence from days to week while MSLA signatures of respective features persisted for longer duration. Hence, the study used Altimeter derived MSLA as an index for long term variability detection of fish catches along with Chlorophyll and SST images and the maps showing PFZs of the study area were generated. The real time Fishing statistics of the same duration were procured from FSI Mumbai. The catch contours were generated with respect to peak spectra of chlorophyll variation and trough spectra of MSLA and SST variation. The vice- a- versa patterns were observed in the poor catch contours. The Catch Per Unit Effort (CPUE) for each fishing trail was calculated to normalize the fish catch. Based on the statistical analysis the actual CPUEs were classified at each probable MSLA depth zones and plotted on the same images.
机译:同化卫星遥感技术的功能,结合传统的数据收集技术,为生活海洋资源的高效和经济管理提供了强大的工具。鱼类是为人类社区生产食物,利润和乐趣的宝贵生活海洋资源。海洋状况的变化在鱼类股的自然波动中发挥着作用。卫星高度仪衍生的合并的海平面异常(MSLA)导致对海洋变异性和Mesosclae海洋学的更好理解,并提供了揭示高动态活动区域的可能性。本研究包括Seawifs衍生叶绿素浓度,国家海洋和大气管理 - 先进的非常高分辨率辐射计(NOAA-AVHR)衍生海表面温度和月合并海平面的来自Topex / Poseidon,Jason-的每月合并的海拔异常数据的协同分析在1998年至2004年期间,过去7年来的1和IER-1高度计。建议划定潜在捕捞区(PFZ)的重叠叶绿素,SST和MSLA。发现叶绿素和SST数据集对短期持久性影响到几天到一周,而各个特征的MSLA签名持续持续时间更长。因此,使用高度计衍生的MSLA作为用于叶绿素和SST图像的长期可变性检测的索引作为用于叶绿素和SST图像的索引和显示研究区域的PFZ的地图。与FSI Mumbai采购相同持续时间的实时捕捞统计数据。相对于叶绿素变化的峰光谱和MSLA和SST变化的槽光谱产生捕获轮廓。在较差的捕获轮廓中观察到副词模式。计算每个渔船的每单位努力(CPUE)的捕获量是为了使鱼类捕获量标准化。基于统计分析,实际CPUES分类为每个可能的MSLA深度区域并绘制在相同的图像上。

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