Jellyfish Monitoring UAV Imagery - Pruth Bay - Calvert Island - British Columbia - Canada

UAV imagery of jellyfish blooms in Pruth Bay, Calvert Island, BC. Imagery is stitched and georeferenced in order to extract jellyfish numbers and physical orientation. Data collection and analysis is being conducted by the Hakai Institute with further research at the University of British Columbia under the supervision of Dr. Brian Hunt.

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.

Data is stored as 15 georeferenced datasets and is stored in the Hakai server - UAV Files - Calvert - September 11, 2016 Folder.
All uav flights, data processing, mapping, and reporting conducted by Keith Holmes.

Contact [e-mail] for more information

本数据集包含加拿大不列颠哥伦比亚省卡尔弗特岛普鲁斯湾水母水华的无人机（Unmanned Aerial Vehicle, UAV）航拍影像。所有影像均经过拼接与地理配准处理，以提取水母的种群数量与空间朝向信息。数据采集与分析工作由哈凯研究所（Hakai Institute）开展，相关后续研究由不列颠哥伦比亚大学在布莱恩·亨特博士（Dr. Brian Hunt）的指导下完成。

本研究验证了无人机（UAV）在水母种群航拍调查中的应用可行性，以及其用于量化与监测水母聚集群的适配性。研究团队在加拿大不列颠哥伦比亚省普鲁斯湾，通过将拖网采样与无人机获取的直线影像样带相结合，在1天内完成了5处海月水母属（Aurelia spp.）聚集群的观测。经处理的地理配准影像样带可用于确定聚集群的面积范围，并估算水母的群落覆盖占比。所有聚集群的覆盖占比估算结果与拖网采样密度数据均呈现高度一致性。结合无人机获取的面积估算值与拖网采样得到的生物量估算值，研究人员计算得出本次水母聚集群的湿重生物量介于65至117吨之间。本研究还探讨了基于无人机的其他测量潜力，包括水母种群丰度与个体尺寸测定。本研究证实了无人机可作为强有力的工具，用于原位表征与研究水母聚集群。

本数据集包含15份地理配准数据文件，存储于哈凯研究所服务器的「无人机文件-卡尔弗特-2016年9月11日」文件夹中。

所有无人机飞行作业、数据处理、制图与报告撰写工作均由基思·霍姆斯（Keith Holmes）完成。

如需获取更多信息，请发送邮件至[e-mail]。