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DETECTING ANTARCTIC SEALS AND FLYING SEABIRDS BY UAV

机译:通过UAV检测南极密封件和飞行海鸟

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In recent years Unmanned Aerial Vehicles (UAVs) became a fast-developing technology with manifold fields of application. In the field of wildlife biology, it offers the opportunity to quantify populations, to map the spatial distribution of species and to observe the behavior of animals with no or low disturbance. Moreover, UAV based mapping allows to obtain data from sites which are hardly or not accessible and to cover much larger areas than by traditional ground based methods. The advantages of UAV based mapping are of particular relevance under the harsh conditions of Antarctic fieldwork. Whether certain species qualify for UAV based monitoring depends on their detectability from the distance and the distinctiveness of their characteristics in comparison to other species, which has not been studied for Antarctic species in detail so far. This study aims to evaluate how and under which conditions, particularly flight height, Antarctic flying seabird and seal species are detectable in aerial imagery. A trial was conducted comparing the detection rate of different observers for several Antarctic species in aerial images of different ground sample distances. Descriptions of individual appearance as well as body size dimensions are delivered for all species. For most of the investigated species, monitoring proves to be possible from practical flight heights, while others are still very hard to detect even in low altitudes. A concluding table is given aiming to provide a guide for future surveys on which flight altitudes to chose and how to identify focal study objects.
机译:近年来,无人驾驶车辆(无人机)成为一种快速发展的技术,具有歧管的应用领域。在野生动物生物学领域,它提供了量化群体的机会,以映射物种的空间分布并观察没有或低扰动的动物的行为。此外,基于UV的映射允许从几乎无法访问的站点获取数据,并涵盖比传统的基于地面的方法更大的区域。基于UAV的映射的优点在南极实地工作的恶劣条件下特别相关。某些物种是否有资格获得基于UAV的监测,这取决于它们与其他物种相比其特性的可检测性以及其特征的独特性,其目前尚未详细研究南极物种。本研究旨在评估在空中图像中可检测到的条件,特别是飞行高度,南极飞行海鸟和密封物种。对不同地面样品距离的空中图像中的几种南极物种进行了比较了不同观察者的检测率。为所有物种提供单个外观以及体尺寸尺寸的描述。对于大多数研究的物种,监测证明是可以从实际飞行高度进行的,而其他的仍然非常难以在低空中检测。结束表旨在为未来调查提供指南,在此航班高度选择和如何识别焦点研究对象。

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