Using unmanned aerial vehicles (UAVs) to measure jellyfish aggregations
Using unmanned aerial vehicles (UAVs) to measure jellyfish aggregations
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DOI：
10.3354/meps12414
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发表时间：
2018-03-19
影响因子：
2.5
通讯作者：
Quayle, Lucy
中科院分区：
文献类型：
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作者：
Schaub, Jessica;Hunt, Brian P. V.;Quayle, Lucy
无人驾驶飞行器（uav，或无人机）作为同时执行高分辨率但大范围的栖息地和种群测量的工具正变得越来越普遍。在本研究中，我们测试了无人机在水母空中调查中的应用，以及它们在测量和监测聚集方面的适用性。在加拿大不列颠哥伦比亚省的Pruth湾，我们将网拖与无人机拍摄的线性图像横断面配对，在1天的时间里测量了5种Aurelia的聚集。利用地理参考影像样面进行处理，确定水母的聚集面积范围和估计覆盖百分比。覆盖百分比估计和净运输密度数据对所有聚合具有高度可比性。综合使用无人机估算的表面积和净捕获生物量，我们计算出水母的聚集大小在65到117吨湿重生物量之间。我们讨论了其他基于无人机的测量的潜力，包括水母丰度和个体尺寸。该研究证明了无人机作为表征和研究水母原位聚集的强大工具的潜力。
Unmanned aerial vehicles (UAVs, or drones) are becoming increasingly common as tools to perform high-resolution but broad-scale measurements of habitats and populations simultaneously. In this study, we tested the application of UAVs to aerial surveys of jellyfish and their suitability for measuring and monitoring aggregations. We paired net hauls with linear image transects taken by a UAV to measure 5 Aurelia spp. aggregations over the course of 1 d in Pruth Bay, British Columbia, Canada. Georeferenced image transects were processed to determine aggregation areal extent and estimate percent cover of jellyfish. The percent cover estimates and net haul density data were highly comparable for all aggregations. Using combined UAV-derived surface area estimates and net haul biomass estimates, we calculated that jellyfish aggregation size ranged from 65 to 117 t wet weight biomass. We discuss the potential for additional UAV-based measurements including jellyfish abundance and individual size. The study demonstrates the potential of UAVs as powerful tools for characterizing and researching jellyfish aggregations in situ.