Title :
UAV-based measurement of vegetation indices for environmental monitoring
Author :
Arnold, T. ; de Biasio, M. ; Fritz, Andreas ; Leitner, R.
Author_Institution :
Mol. Imaging Dept., CTR Carinthian Tech Res. AG, Villach, Austria
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.
Keywords :
CMOS image sensors; autonomous aerial vehicles; data acquisition; environmental monitoring (geophysics); image registration; land cover; soil; vegetation mapping; Schiebel CAMCOPTER S-100 VTOL; UAV-based measurement; airborne multi-spectral imaging sensor; environmental monitoring; flight path validation; image registration; land cover mapping; multiple CMOS imaging sensors; multispectral data acquisition; soil types; unmanned aerial vehicle; vegetation indices; Agriculture; Cameras; Data acquisition; Remote sensing; Silicon; Vegetation mapping; UAV; imaging spectroscopy; precision agriculture; remote sensing;
Conference_Titel :
Sensing Technology (ICST), 2013 Seventh International Conference on
Conference_Location :
Wellington
Print_ISBN :
978-1-4673-5220-8
DOI :
10.1109/ICSensT.2013.6727744