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.
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)|
|Item Status:||Live Archive|
|Additional Information:||No evidence of copyright restrictions.|
|Faculty / Department / School:||Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information|
|Date Deposited:||11 Oct 2007 00:40|
|Last Modified:||13 Jun 2016 01:08|
|Uncontrolled Keywords:||Remotely controlled aircraft imaging, crop quality evaluation, low altitude remote sensing, low altitude crop sensing|
|Fields of Research :||09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing|
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