Burrow-Nesting Seabird Survey Using UAV-Mounted Thermal Sensor and Count Automation

IF 4.4 2区 地球科学 Q1 REMOTE SENSING Drones Pub Date : 2023-11-13 DOI:10.3390/drones7110674
Jacob Virtue, Darren Turner, Guy Williams, Stephanie Zeliadt, Henry Walshaw, Arko Lucieer
{"title":"Burrow-Nesting Seabird Survey Using UAV-Mounted Thermal Sensor and Count Automation","authors":"Jacob Virtue, Darren Turner, Guy Williams, Stephanie Zeliadt, Henry Walshaw, Arko Lucieer","doi":"10.3390/drones7110674","DOIUrl":null,"url":null,"abstract":"Seabird surveys are used to monitor population demography and distribution and help us understand anthropogenic pressures on seabird species. Burrow-nesting seabirds are difficult to survey. Current ground survey methods are invasive, time-consuming and detrimental to colony health. Data derived from short transects used in ground surveys are extrapolated to derive whole-colony population estimates, which introduces sampling bias due to factors including uneven burrow distribution and varying terrain. We investigate a new survey technique for nocturnally active burrow-nesting seabirds using unoccupied aerial vehicles (UAVs) and thermal sensor technology. We surveyed a three-hectare short-tailed shearwater (Ardenna tenuirostris) colony in Tasmania, Australia. Occupied burrows with resident chicks produced pronounced thermal signatures. This survey method captured a thermal response of every occupied burrow in the colony. Count automation techniques were developed to detect occupied burrows. To validate the results, we compared automated and manual counts of thermal imagery. Automated counts of occupied burrows were 9.3% higher and took approximately 5% of the time needed for manual counts. Using both manual and automated counts, we estimated that there were 5249–5787 chicks for the 2021/2022 breeding season. We provide evidence that high-resolution UAV thermal remote sensing and count automation can improve population estimates of burrow-nesting seabirds.","PeriodicalId":36448,"journal":{"name":"Drones","volume":"56 15","pages":"0"},"PeriodicalIF":4.4000,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drones","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/drones7110674","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"REMOTE SENSING","Score":null,"Total":0}
引用次数: 0

Abstract

Seabird surveys are used to monitor population demography and distribution and help us understand anthropogenic pressures on seabird species. Burrow-nesting seabirds are difficult to survey. Current ground survey methods are invasive, time-consuming and detrimental to colony health. Data derived from short transects used in ground surveys are extrapolated to derive whole-colony population estimates, which introduces sampling bias due to factors including uneven burrow distribution and varying terrain. We investigate a new survey technique for nocturnally active burrow-nesting seabirds using unoccupied aerial vehicles (UAVs) and thermal sensor technology. We surveyed a three-hectare short-tailed shearwater (Ardenna tenuirostris) colony in Tasmania, Australia. Occupied burrows with resident chicks produced pronounced thermal signatures. This survey method captured a thermal response of every occupied burrow in the colony. Count automation techniques were developed to detect occupied burrows. To validate the results, we compared automated and manual counts of thermal imagery. Automated counts of occupied burrows were 9.3% higher and took approximately 5% of the time needed for manual counts. Using both manual and automated counts, we estimated that there were 5249–5787 chicks for the 2021/2022 breeding season. We provide evidence that high-resolution UAV thermal remote sensing and count automation can improve population estimates of burrow-nesting seabirds.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用无人机安装的热传感器和计数自动化进行地穴筑巢海鸟调查
海鸟调查是用来监测海鸟的人口统计和分布,并帮助我们了解人为对海鸟物种的压力。在地穴筑巢的海鸟很难调查。目前的地面调查方法侵入性强,耗时长,不利于蚁群健康。从地面调查中使用的短样条中获得的数据被外推以获得整个种群的种群估计,这由于包括不均匀的洞穴分布和不同的地形在内的因素而引入了抽样偏差。我们研究了一种利用无人飞行器和热传感器技术对夜间活动的穴居海鸟进行调查的新技术。我们调查了澳大利亚塔斯马尼亚州一个占地3公顷的短尾鹱(Ardenna tenuirostris)群落。有小鸡居住的洞穴产生了明显的热信号。这种调查方法捕捉到了蚁群中每个被占领洞穴的热反应。开发了计数自动化技术来检测被占用的洞穴。为了验证结果,我们比较了热图像的自动计数和手动计数。自动计数已占用的洞穴比手动计数高9.3%,所花费的时间大约是手动计数所需时间的5%。使用人工和自动计数,我们估计2021/2022繁殖季节有5249-5787只小鸡。我们提供的证据表明,高分辨率无人机热遥感和计数自动化可以改善洞穴筑巢海鸟的种群估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Drones
Drones Engineering-Aerospace Engineering
CiteScore
5.60
自引率
18.80%
发文量
331
期刊最新文献
Firefighting Drone Configuration and Scheduling for Wildfire Based on Loss Estimation and Minimization Wind Tunnel Balance Measurements of Bioinspired Tails for a Fixed Wing MAV Three-Dimensional Indoor Positioning Scheme for Drone with Fingerprint-Based Deep-Learning Classifier Blockchain-Enabled Infection Sample Collection System Using Two-Echelon Drone-Assisted Mechanism Joint Trajectory Design and Resource Optimization in UAV-Assisted Caching-Enabled Networks with Finite Blocklength Transmissions
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1