从太空估算白鲸数量:使用无人机对 VHR 卫星图像进行地面验证

IF 3.9 2区 环境科学与生态学 Q1 ECOLOGY Remote Sensing in Ecology and Conservation Pub Date : 2024-05-08 DOI:10.1002/rse2.396
Jordan B. Stewart, Justine M. Hudson, Bryanna A. H. Sherbo, Cortney A. Watt
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引用次数: 0

摘要

要了解鲸目动物的种群趋势并做出明智的管理决策,必须对其进行常规监测。然而,由于鲸目动物的固有特性及其栖息的海洋生态系统,采用目前的调查方法进行年度种群调查在后勤和经济上都具有挑战性。一种新出现的解决方案是利用甚高分辨率(VHR)卫星图像,这是一种在后勤上高效的方法,可提供跨越数百平方千米区域的即时视图。本研究的目的是确定利用 VHR 卫星图像可靠地进行白鲸种群丰度估计所需的两个因素:(1)VHR 卫星图像中白鲸可见的深度,用于定义可用性偏差校正因子;(2)VHR 卫星图像中的丰度估计与当前航空方法的比较。我们在两种不同透明度的水中将白鲸模型浸没到不同深度,并确定白鲸仅在浑浊水域(Secchi 深度:2.56 米)的水面和清澈水域(Secchi 深度:4.04 米)的 0-2 米深处才能被分辨出来。根据白鲸在这些深度停留的时间比例,西哈德逊湾白鲸的可用性偏差校正因子被定义为:浑浊水域为 2.40 ± 0.16,清澈水域为 1.89 ± 0.05。同步地面验证调查确定了 0.31 米 VHR 卫星图像(n = 173 头白鲸)和使用专有算法进行高清锐化以接近 0.15 米分辨率的图像(n = 170)中可用性校正后的白鲸丰度估计值,以便与无人机图像(n = 164)相媲美。VHR 卫星图像有可能增加白鲸种群调查的频率,随着白鲸面临生态系统的快速变化和人为干扰的增加,这一点变得越来越重要。
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Estimating beluga whale abundance from space: using drones to ground‐validate VHR satellite imagery
Routine monitoring of cetaceans is imperative for understanding their population trends and making informed management decisions. However, the inherent nature of cetaceans and the marine ecosystems they inhabit make annual population surveys logistically and economically challenging with current survey methods. One emerging solution is utilizing very high‐resolution (VHR) satellite imagery, which is a logistically efficient method for providing an instantaneous view of areas spanning hundreds of square kilometers. The objective of this study was to determine two factors required to reliably conduct beluga whale population abundance estimates with VHR satellite imagery: (1) depths that beluga whales are visible in VHR satellite images, which are used to define availability bias correction factors, and (2) a comparison of abundance estimates in VHR satellite imagery to current aerial methods. We submerged beluga whale models to different depths in two different water clarities and determined that beluga whales are distinguished only at the surface in turbid water (Secchi depth: 2.56 m) and at depths of 0–2 m in clear water (Secchi depth: 4.04 m). Based on the proportion of time beluga whales spend at these depths, an availability bias correction factor for Western Hudson Bay beluga whales was defined as 2.40 ± 0.16 for turbid water and 1.89 ± 0.05 for clear water. Synchronous ground‐validation surveys determined availability corrected beluga whale abundance estimates in 0.31 m VHR satellite imagery (n = 173 beluga whales) and imagery that was HD sharpened using a proprietary algorithm to approximate 0.15 m resolution (n = 170) to be comparable to drone imagery (n = 164). VHR satellite imagery has the potential to increase the frequency of beluga whale population surveys, which has become increasingly important as beluga whales face rapid ecosystem changes and increased anthropogenic disturbances.
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来源期刊
Remote Sensing in Ecology and Conservation
Remote Sensing in Ecology and Conservation Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
9.80
自引率
5.50%
发文量
69
审稿时长
18 weeks
期刊介绍: emote Sensing in Ecology and Conservation provides a forum for rapid, peer-reviewed publication of novel, multidisciplinary research at the interface between remote sensing science and ecology and conservation. The journal prioritizes findings that advance the scientific basis of ecology and conservation, promoting the development of remote-sensing based methods relevant to the management of land use and biological systems at all levels, from populations and species to ecosystems and biomes. The journal defines remote sensing in its broadest sense, including data acquisition by hand-held and fixed ground-based sensors, such as camera traps and acoustic recorders, and sensors on airplanes and satellites. The intended journal’s audience includes ecologists, conservation scientists, policy makers, managers of terrestrial and aquatic systems, remote sensing scientists, and students. Remote Sensing in Ecology and Conservation is a fully open access journal from Wiley and the Zoological Society of London. Remote sensing has enormous potential as to provide information on the state of, and pressures on, biological diversity and ecosystem services, at multiple spatial and temporal scales. This new publication provides a forum for multidisciplinary research in remote sensing science, ecological research and conservation science.
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