为估计北极鲸目动物密度和相关不确定性而收集视觉数据和图像的载人和无人航空调查的性能

IF 1.3 Q3 REMOTE SENSING Journal of Unmanned Vehicle Systems Pub Date : 2018-05-07 DOI:10.1139/JUVS-2018-0002
M. Ferguson, R. Angliss, Amy Kennedy, B. Lynch, A. Willoughby, V. Helker, A. Brower, J. Clarke
{"title":"为估计北极鲸目动物密度和相关不确定性而收集视觉数据和图像的载人和无人航空调查的性能","authors":"M. Ferguson, R. Angliss, Amy Kennedy, B. Lynch, A. Willoughby, V. Helker, A. Brower, J. Clarke","doi":"10.1139/JUVS-2018-0002","DOIUrl":null,"url":null,"abstract":"Manned aerial surveys have been used successfully for decades to collect data to infer cetacean distribution, density (number of whales/km2), and abundance. Unmanned aircraft systems (UAS) have potential to augment or replace some manned aerial surveys for cetaceans. We conducted a three-way comparison among visual observations made by marine mammal observers aboard a Turbo Commander aircraft; imagery autonomously collected by a Nikon D810 camera system mounted to a belly port on the Turbo Commander; and imagery collected by a similar camera system on a remotely controlled ScanEagle® UAS operated by the US Navy. Bowhead whale density estimates derived from the marine mammal observer data were higher than those from the Turbo Commander imagery; comparisons to the UAS imagery depended on survey sector and analytical method. Beluga density estimates derived from either dataset collected aboard the Turbo Commander were higher than estimates derived from the UAS imagery. Uncertainties in density estimates derived from the marine mammal observer data were lower than estimates derived from either imagery dataset due to the small sample sizes in the imagery. The visual line-transect aerial survey conducted by marine mammal observers aboard the Turbo Commander was 68.5% of the cost of the photo strip-transect survey aboard the same aircraft and 9.4% of the cost of the UAS survey.","PeriodicalId":45619,"journal":{"name":"Journal of Unmanned Vehicle Systems","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2018-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1139/JUVS-2018-0002","citationCount":"27","resultStr":"{\"title\":\"Performance of manned and unmanned aerial surveys to collect visual data and imagery for estimating arctic cetacean density and associated uncertainty\",\"authors\":\"M. Ferguson, R. Angliss, Amy Kennedy, B. Lynch, A. Willoughby, V. Helker, A. Brower, J. Clarke\",\"doi\":\"10.1139/JUVS-2018-0002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Manned aerial surveys have been used successfully for decades to collect data to infer cetacean distribution, density (number of whales/km2), and abundance. Unmanned aircraft systems (UAS) have potential to augment or replace some manned aerial surveys for cetaceans. We conducted a three-way comparison among visual observations made by marine mammal observers aboard a Turbo Commander aircraft; imagery autonomously collected by a Nikon D810 camera system mounted to a belly port on the Turbo Commander; and imagery collected by a similar camera system on a remotely controlled ScanEagle® UAS operated by the US Navy. Bowhead whale density estimates derived from the marine mammal observer data were higher than those from the Turbo Commander imagery; comparisons to the UAS imagery depended on survey sector and analytical method. Beluga density estimates derived from either dataset collected aboard the Turbo Commander were higher than estimates derived from the UAS imagery. Uncertainties in density estimates derived from the marine mammal observer data were lower than estimates derived from either imagery dataset due to the small sample sizes in the imagery. The visual line-transect aerial survey conducted by marine mammal observers aboard the Turbo Commander was 68.5% of the cost of the photo strip-transect survey aboard the same aircraft and 9.4% of the cost of the UAS survey.\",\"PeriodicalId\":45619,\"journal\":{\"name\":\"Journal of Unmanned Vehicle Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2018-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1139/JUVS-2018-0002\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Unmanned Vehicle Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1139/JUVS-2018-0002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"REMOTE SENSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Unmanned Vehicle Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1139/JUVS-2018-0002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"REMOTE SENSING","Score":null,"Total":0}
引用次数: 27

摘要

几十年来,载人航空调查已成功用于收集数据,以推断鲸目动物的分布、密度(鲸鱼数量/km2)和丰度。无人驾驶飞机系统(UAS)有可能增加或取代一些针对鲸目动物的载人航空调查。我们对海洋哺乳动物观察员在Turbo Commander飞机上进行的视觉观察进行了三方比较;图像由安装在Turbo Commander腹部端口的尼康D810相机系统自主收集;以及由美国海军操作的遥控ScanEagle®无人机上的类似摄像系统收集的图像。根据海洋哺乳动物观察者的数据得出的弓头鲸密度估计值高于Turbo Commander的图像;与无人机图像的比较取决于调查部门和分析方法。从Turbo Commander上收集的任何一个数据集得出的白鲸密度估计值都高于从无人机图像得出的估计值。由于图像中的样本量较小,从海洋哺乳动物观察者数据得出的密度估计的不确定性低于从任一图像数据集得出的估计。海洋哺乳动物观察员在Turbo Commander上进行的视觉样条空中调查是同一架飞机上照片样条调查费用的68.5%,是无人机调查费用的9.4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Performance of manned and unmanned aerial surveys to collect visual data and imagery for estimating arctic cetacean density and associated uncertainty
Manned aerial surveys have been used successfully for decades to collect data to infer cetacean distribution, density (number of whales/km2), and abundance. Unmanned aircraft systems (UAS) have potential to augment or replace some manned aerial surveys for cetaceans. We conducted a three-way comparison among visual observations made by marine mammal observers aboard a Turbo Commander aircraft; imagery autonomously collected by a Nikon D810 camera system mounted to a belly port on the Turbo Commander; and imagery collected by a similar camera system on a remotely controlled ScanEagle® UAS operated by the US Navy. Bowhead whale density estimates derived from the marine mammal observer data were higher than those from the Turbo Commander imagery; comparisons to the UAS imagery depended on survey sector and analytical method. Beluga density estimates derived from either dataset collected aboard the Turbo Commander were higher than estimates derived from the UAS imagery. Uncertainties in density estimates derived from the marine mammal observer data were lower than estimates derived from either imagery dataset due to the small sample sizes in the imagery. The visual line-transect aerial survey conducted by marine mammal observers aboard the Turbo Commander was 68.5% of the cost of the photo strip-transect survey aboard the same aircraft and 9.4% of the cost of the UAS survey.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
5.30
自引率
0.00%
发文量
2
期刊最新文献
An examination of trends in the growing scientific literature on approaching wildlife with drones The utility of drones for studying polar bear behaviour in the Canadian Arctic: opportunities and recommendations Detection and tracking of belugas, kayaks and motorized boats in drone video using deep learning Potential Cyber Threats, Vulnerabilities, and Protections of Unmanned Vehicles Pilots’ Willingness to Operate in Urban Air Mobility Integrated Airspace: A Moderated Mediation Analysis
×
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