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Application of unmanned aerial vehicle in the management of Akure forest reserve in Southwestern Nigeria

Application of unmanned aerial vehicle in the management of Akure forest reserve in Southwestern... This study utilised unmanned aerial vehicle to produce land cover map of Akure forest reserve. Topographical map of the study area was gridded to determine proper coordinates of the forest reserve. The coordinates were pre-loaded in quadcopter through a series of predefined waypoints and flight lines. Three hundred metres altitude was chosen to avoid tree canopy obstructions for the drone. The drone speed was set at 3 m/s. Images were captured in panchromatic mode of RGB with shutter capture speed at 1/1,000 s. One hundred and ten of the images captured were used for the study. The images were assembled and processed in Drone2map software to produce a land cover map. The stereoscopic interpretation of the map with ground truthing revealed certain anthropogenic activities threatening the forest reserve. In conclusion, this study found drone as flexible, low-cost and reliable tools in accurately acquiring high resolution remote sensing data for effective forest management. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Interdisciplinary Environmental Review Inderscience Publishers

Application of unmanned aerial vehicle in the management of Akure forest reserve in Southwestern Nigeria

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1521-0227
eISSN
2042-6992
DOI
10.1504/IER.2020.112603
Publisher site
See Article on Publisher Site

Abstract

This study utilised unmanned aerial vehicle to produce land cover map of Akure forest reserve. Topographical map of the study area was gridded to determine proper coordinates of the forest reserve. The coordinates were pre-loaded in quadcopter through a series of predefined waypoints and flight lines. Three hundred metres altitude was chosen to avoid tree canopy obstructions for the drone. The drone speed was set at 3 m/s. Images were captured in panchromatic mode of RGB with shutter capture speed at 1/1,000 s. One hundred and ten of the images captured were used for the study. The images were assembled and processed in Drone2map software to produce a land cover map. The stereoscopic interpretation of the map with ground truthing revealed certain anthropogenic activities threatening the forest reserve. In conclusion, this study found drone as flexible, low-cost and reliable tools in accurately acquiring high resolution remote sensing data for effective forest management.

Journal

Interdisciplinary Environmental ReviewInderscience Publishers

Published: Jan 1, 2020

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