UAV-based measurement of vegetation indices for environmental monitoring

T. Arnold, M. D. Biasio, A. Fritz, R. Leitner
{"title":"UAV-based measurement of vegetation indices for environmental monitoring","authors":"T. Arnold, M. D. Biasio, A. Fritz, R. Leitner","doi":"10.1109/ICSENST.2013.6727744","DOIUrl":null,"url":null,"abstract":"This paper presents an airborne multi-spectral imaging sensor which is able to simultaneously capture three visible and three near infrared channels. The first prototype was integrated in a Schiebel CAMCOPTER® S-100 VTOL (Vertical Take-Off and Landing) UAV (Unmanned Aerial Vehicle) for inflight tests. A low cost version of the initial multi-spectral imaging system was developed to fit into a more compact UAV. The imaging system captures six bands with a minimal spatial resolution of approx. 10cm × 10cm (depending on altitude). Results indicate that the system is able to resist the high vibration level during flight and that the actively stabilized camera gimbal compensates for rapid roll/tilt movements of the UAV. After image registration the acquired images are stitched together for land cover mapping and flight path validation. Moreover the system is able to distinguish between different types of vegetation and soil.","PeriodicalId":374655,"journal":{"name":"2013 Seventh International Conference on Sensing Technology (ICST)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Seventh International Conference on Sensing Technology (ICST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSENST.2013.6727744","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 39

Abstract

This paper presents an airborne multi-spectral imaging sensor which is able to simultaneously capture three visible and three near infrared channels. The first prototype was integrated in a Schiebel CAMCOPTER® S-100 VTOL (Vertical Take-Off and Landing) UAV (Unmanned Aerial Vehicle) for inflight tests. A low cost version of the initial multi-spectral imaging system was developed to fit into a more compact UAV. The imaging system captures six bands with a minimal spatial resolution of approx. 10cm × 10cm (depending on altitude). Results indicate that the system is able to resist the high vibration level during flight and that the actively stabilized camera gimbal compensates for rapid roll/tilt movements of the UAV. After image registration the acquired images are stitched together for land cover mapping and flight path validation. Moreover the system is able to distinguish between different types of vegetation and soil.
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
基于无人机的环境监测植被指数测量
提出了一种能够同时捕获3个可见光通道和3个近红外通道的机载多光谱成像传感器。首个原型机集成在Schiebel CAMCOPTER®S-100垂直起降(VTOL)无人机(无人机)中进行飞行测试。最初多光谱成像系统的一个低成本版本被发展适应到一个更紧凑的UAV。成像系统捕获六个波段,最小空间分辨率约为。10cm × 10cm(视海拔而定)。结果表明,该系统能够抵抗飞行过程中的高振动水平,主动稳定的相机框架补偿了无人机的快速滚转/倾斜运动。图像配准后,将采集到的图像拼接在一起进行地表覆盖制图和航迹验证。此外,该系统还能够区分不同类型的植被和土壤。
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
自引率
0.00%
发文量
0
期刊最新文献
Tuning the bias sensing layer: A new way to greatly improve Metal-Oxide gas sensors selectivity ZigBee based wireless sensor networks and their use in medical and health care domain Ultrasonic range measurements on the human body Wireless underground sensor network design for irrigation control: Simulation of RFID deployment An ultralow-noise Ag/AgCl electric field sensor with good stability for marine EM applications
×
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