Assessing grain crop attributes using digital imagery acquired from a low-altitude remote controlled aircraft

Jensen, Troy and Apan, Armando and Young, Frank R. and Zeller, Leslie Charles and Cleminson, Ken (2003) Assessing grain crop attributes using digital imagery acquired from a low-altitude remote controlled aircraft. In: 2003 Spatial Sciences Institute Conference: Spatial Knowledge Without Boundaries (SSC2003) , 22-27 Sept 2003, Canberra, Australia.

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Abstract

Considerable research has already been conducted using satellite and aerial imagery to observe cropping areas. However, these imagery platforms have limitations: repeatability, cloud cover, cost and poor spatial resolution. The aim of this study was to investigate the potential of detecting and mapping grain crop attributes using digital imagery acquired from a low-altitude remote controlled aircraft (RCA). The study utilised a digital camera (Kodak DC3200, 1 megapixel, 24-bit) mounted on a RCA of a high-wing cabin-design model of balsa wood construction with a 2m wingspan. The platform was powered by a 10 cc 4-stroke glow fuel (methanol) motor and has a payload of approximately 750g. Preliminary images were acquired on 8 February 2003, over sorghum crop fields (151°54′, –27°40′) 15 km south of Toowoomba, Queensland. The images were captured at approximately 120 m (400 ft) above the ground. Information contained in the images captured include: • canopy density (high and low leaf area index)—due to differences in soil-type, moisture/nutrient status, etc. • other land cover types (grass, soil, asphalt, etc.) • unplanted areas—due to planting misses, germination problems and tree influences. • micro-relief (topography) • fence lines, posts and other infrastructure. The information that this platform-sensor system can provide is potentially useful for many precision agriculture applications and farm planning in general. More work is being conducted that includes the use of infrared filter, geometric correction, multi-temporal acquisition, and the use of video camera.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: No evidence of copyright restrictions.
Depositing User: Assoc Prof Frank Young
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 11 Oct 2007 00:40
Last Modified: 02 Jul 2013 22:37
Uncontrolled Keywords: Remotely controlled aircraft imaging, crop quality evaluation, low altitude remote sensing, low altitude crop sensing
Fields of Research (FOR2008): 09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
URI: http://eprints.usq.edu.au/id/eprint/1362

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