比较北极鲸类动物监测的载人和无人航空调查:方法和操作结果

IF 1.3 Q3 REMOTE SENSING
R. Angliss, M. Ferguson, Cara Appel, Jeremy Brown, Claire Bortot, W. Bean
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引用次数: 19

摘要

载人航空调查通常用于评估鲸目动物的分布和密度,通常是在大的地理区域内。无人驾驶飞机系统(UAS)已被确定为一种可以增强或取代对鲸目动物的载人航空调查的技术。为了了解在北极使用载人和无人机技术可以解决哪些涉及鲸目动物分布和密度的研究问题,我们在阿拉斯加乌特奇亚维克(巴罗)附近对鲸目动物进行了成对的空中调查。我们介绍了该项目的方法和操作结果,以及在实地工作中遇到的挑战。秋季北极天气在小时空尺度上变化巨大,恶劣的环境条件增加了重复无人机操作所需的维护。各种技术,如温度和湿度传感器、提供高度多变天气的近期预报的软件系统,以及基于地面的空中交通雷达馈送,直接有助于在这些情况下进行常规、成功、超视距的无人机飞行。我们为未来的项目提供建议,以帮助简化项目规划,提高研究人员使用无人机收集生态研究所需数据的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparing manned to unmanned aerial surveys for cetacean monitoring in the Arctic: methods and operational results
Manned aerial surveys are routinely used to assess cetacean distribution and density, often over large geographic areas. Unmanned aircraft systems (UAS) have been identified as a technology that could augment or replace manned aerial surveys for cetaceans. To understand what research questions involving cetacean distribution and density can be addressed using manned and UAS technology in the Arctic, we conducted paired aerial surveys for cetaceans near Utqiaġvik (Barrow), Alaska. We present the methods and operational results from the project, and challenges encountered during the field work. Fall arctic weather varied dramatically over small spatiotemporal scales and harsh environmental conditions increased the maintenance required for repeated UAS operations. Various technologies, such as temperature and humidity sensors, a software system that provided near-term forecasts of highly variable weather, and a surface-based air traffic radar feed, directly contributed to the ability to conduct routine, successful, beyond line-of-sight UAS flights under these situations. We provide recommendations for future projects to help streamline project planning and enhance researchers’ ability to use UAS to collect data needed for ecological research.
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来源期刊
CiteScore
5.30
自引率
0.00%
发文量
2
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