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Proceedings Paper

UAV-based multi-spectral environmental monitoring
Author(s): Thomas Arnold; Martin De Biasio; Andreas Fritz; Albert Frank; Raimund Leitner
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Paper Abstract

This paper describes an airborne multi-spectral imaging system which is able to simultaneously capture three visible (400-670nm at 50% FWHM) and three near infrared channels (670-1000nm at 50% FWHM). The rst prototype was integrated in a Schiebel CAMCOPTER®S-100 VTOL (Vertical Take-O and Landing) UAV (Unmanned Aerial Vehicle) for initial test ights in spring 2010. The UAV was own over land containing various types of vegetation. A miniaturized version of the initial multi-spectral imaging system was developed in 2011 to t into a more compact UAV. The imaging system captured six bands with a minimal spatial resolution of approx. 10cm x 10cm (depending on altitude). Results show that the system is able to resist the high vibration level during ight 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 ight path validation. Moreover the system is able to distinguish between dierent types of vegetation and soil. Future work will include the use of spectral imaging techniques to identify spectral features that are related to water stress, nutrient deciency and pest infestation. Once these bands have been identied, narrowband lters will be incorporated into the airborne system.

Paper Details

Date Published: 3 May 2012
PDF: 6 pages
Proc. SPIE 8360, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications IX, 836005 (3 May 2012); doi: 10.1117/12.919048
Show Author Affiliations
Thomas Arnold, Carinthian Tech Research AG (Austria)
Martin De Biasio, Carinthian Tech Research AG (Austria)
Andreas Fritz, Carinthian Tech Research AG (Austria)
Albert Frank, Carinthian Tech Research AG (Austria)
Raimund Leitner, Carinthian Tech Research AG (Austria)

Published in SPIE Proceedings Vol. 8360:
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications IX
Daniel J. Henry; Davis A. Lange; Dale Linne von Berg; Darrell L. Young; Kenneth L. Bernier; Jeff J. Guell; Sreekanth Danny Rajan, Editor(s)

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