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JRM Vol.22 No.2 pp. 212-220
doi: 10.20965/jrm.2010.p0212
(2010)

Paper:

Generation of Large Mosaic Images for Vegetation Monitoring Using a Small Unmanned Aerial Vehicle

Taro Suzuki*, Yoshiharu Amano*, Takumi Hashizume*,
Shinji Suzuki**, and Atsushi Yamaba***

*Research Institute for Science and Engineering, Waseda University, 17 Kikui-cho, Shinjuku-ku, Tokyo 162-0044, Japan

**Department of Aeronautics and Astronautics, School of Engineering, The University of Tokyo

***Forestry Research Center, Hiroshima Pref. Technology Research Inst.

Received:
October 5, 2009
Accepted:
January 25, 2010
Published:
April 20, 2010
Keywords:
unmanned aerial vehicle, mosaic image, vegetation monitoring, remote sensing
Abstract

This paper describes low-cost flexible vegetation monitoring and compares it to with conventional remote sensing systems such as airplanes and satellites. The small lightweight Unmanned Aerial Vehicle (UAV) we have developed has visible and near-infrared cameras that create a high-resolution wide-area mosaic image for observing vegetation. We propose integrating a GPS receiver, inertial sensors, and an image sensor to accurately estimate the UAV location and altitude to generate a mosaic image. The vegetation index is then calculated from the generated mosaic image to evaluate vegetation status. Monitoring experiment results at the Yawata moor in Hiroshima Prefecture showed that our small UAV both effectively and usefully provided low-cost flexible vegetation monitoring.

Cite this article as:
Taro Suzuki, Yoshiharu Amano, Takumi Hashizume,
Shinji Suzuki, and Atsushi Yamaba, “Generation of Large Mosaic Images for Vegetation Monitoring Using a Small Unmanned Aerial Vehicle,” J. Robot. Mechatron., Vol.22, No.2, pp. 212-220, 2010.
Data files:
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