Cost-Effective Mapping Using Unmanned Aerial Vehicles in Ecology Monitoring Applications

  • Mitch BrysonEmail author
  • Alistair Reid
  • Calvin Hung
  • Fabio Tozeto Ramos
  • Salah Sukkarieh
Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 79)


Ecology monitoring of large areas of farmland, rangelands and wilderness relies on routine map building and picture compilation, traditionally performed using high-flying surveys with manned-aircraft or through satellite remote sensing. Unmanned Aerial Vehicles (UAVs) are a promising alternative as a data collection platform due to the small-size, longer endurance and thus cost-effectiveness of these systems. Additionally UAVs can fly lower to the ground, collecting higher-resolution imagery than with manned aircraft or satellites. This paper discusses the development and experimental evaluation of systems and algorithms for airborne environment mapping, object detection and vegetation classification using low-cost sensor data including monocular vision collected from a UAV. Experimental results of the system are presented in multiple flights of our UAV system in three different environments and two different ecology monitoring applications, operating in remote locations in outback Australia.


Global Position System Unmanned Aerial Vehicle Extend Kalman Filter Inertial Measuring Unit Tree Crown 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2014

Authors and Affiliations

  • Mitch Bryson
    • 1
    Email author
  • Alistair Reid
    • 1
  • Calvin Hung
    • 1
  • Fabio Tozeto Ramos
    • 1
  • Salah Sukkarieh
    • 1
  1. 1.Australian Centre for Field RoboticsUniversity of SydneySydneyAustralia

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