UAV-based Measurement of Vegetation Indices for Environmental Monitoring

被引:0
|
作者
De Biasio, Thomas Arnold Martin [1 ]
Fritz, Andreas [1 ]
Leitner, Raimund [1 ]
机构
[1] Ctr Carinthian Tech Res AG, Mol Imaging Dept, Villach, Austria
来源
2013 SEVENTH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST) | 2013年
关键词
UAV; imaging spectroscopy; remote sensing; precision agriculture;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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 (R) S-100 VTOL (Vertical Take-Off and Landing) UAV (Unmanned Aerial Vehicle) for in-flight 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 x 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.
引用
收藏
页码:704 / 707
页数:4
相关论文
共 50 条
  • [1] UAV-based Multispectral Environmental Monitoring
    Arnold, Thomas
    De Biasio, Martin
    Fritz, Andreas
    Leitner, Raimund
    2010 IEEE SENSORS, 2010, : 995 - 998
  • [2] Association of UAV-based vegetation indices with soybean yield and disease severity
    Vilela, N. J. D.
    Ferraz, M. A. J.
    Bruzi, A. T.
    Vilela, G. L. D.
    Ferraz, G. A. S.
    GENETICS AND MOLECULAR RESEARCH, 2024, 23 (03):
  • [3] UAV-based Regional Environmental Monitoring IoT System
    Yang, Ni
    Li, Bin
    2019 5TH INTERNATIONAL CONFERENCE ON ENERGY EQUIPMENT SCIENCE AND ENGINEERING, 2020, 461
  • [4] UAV-based Multi-spectral Environmental Monitoring
    Arnold, Thomas
    De Biasio, Martin
    Fritz, Andreas
    Frank, Albert
    Leitner, Raimund
    AIRBORNE INTELLIGENCE, SURVEILLANCE, RECONNAISSANCE (ISR) SYSTEMS AND APPLICATIONS IX, 2012, 8360
  • [5] Multispectral UAV-Based Disease Identification Using Vegetation Indices for Maize Hybrids
    Radocz, Laszlo
    Juhasz, Csaba
    Tamas, Andras
    Illes, Arpad
    Ragan, Peter
    Radocz, Laszlo .
    AGRICULTURE-BASEL, 2024, 14 (11):
  • [6] Multispectral aerial monitoring of a patchy vegetation oasis composed of different vegetation classes. UAV-based study exploiting spectral reflectance indices
    Vaczi, Peter
    Bartak, Milos
    CZECH POLAR REPORTS, 2022, 12 (01): : 131 - 142
  • [7] UAV-Based Remote Sensing Monitoring of Maize Growth Using Comprehensive Indices
    Yang, Tingrui
    Zhao, Jinghua
    Hong, Ming
    Ma, Mingjie
    Ma, Shijiao
    Yuan, Yingying
    IEEE ACCESS, 2025, 13 : 30395 - 30405
  • [8] UAV-based Environmental Monitoring using Multi-spectral Imaging
    De Biasio, Martin
    Arnold, Thomas
    Leitner, Raimund
    McGunnigle, Gerald
    Meester, Richard
    AIRBORNE INTELLIGENCE, SURVEILLANCE, RECONNAISSANCE (ISR) SYSTEMS AND APPLICATIONS VII, 2010, 7668
  • [9] UAV-based Measuring Station for Monitoring and Computational Modeling of Environmental Factors
    Sprincean, Veaceslav
    Paladi, Adrian
    Andruh, Vasili
    Danici, Anton
    Lozovanu, Petru
    Paladi, Florentin
    2021 IEEE 8TH INTERNATIONAL WORKSHOP ON METROLOGY FOR AEROSPACE (IEEE METROAEROSPACE), 2021, : 80 - 85
  • [10] UAV-Based Photogrammetric Tree Height Measurement for Intensive Forest Monitoring
    Krause, Stuart
    Sanders, Tanja G. M.
    Mund, Jan-Peter
    Greve, Klaus
    REMOTE SENSING, 2019, 11 (07)