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Assessing the impacts of canopy openness and flight parameters on detecting a sub-canopy tropical invasive plant using a small unmanned aerial system

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Abstract Small unmanned aerial systems (sUAS) have great potential to facilitate the early detection and management of invasive plants. Here we show how very high-resolution optical imagery, collected from small… Click to show full abstract

Abstract Small unmanned aerial systems (sUAS) have great potential to facilitate the early detection and management of invasive plants. Here we show how very high-resolution optical imagery, collected from small consumer-grade multirotor UAS platform at altitudes of 30–120 m above ground level (agl), can be used to detect individual miconia ( Miconia calvescens ) plants in a highly invaded tropical rainforest environment on the island of Hawai‘i. The central aim of this research was to determine how overstory vegetation cover, imagery resolution, and camera look-angle impact the aerial detection of known individual miconia plants. For our finest resolution imagery (1.37 cm ground sampling distance collected at 30 m agl), we obtained a 100% detection rate for sub-canopy plants with above-crown openness values >40% and a 69% detection rate for those with >20% openness. We were unable to detect any plants with

Keywords: detection; small unmanned; unmanned aerial; assessing impacts; impacts canopy; sub canopy

Journal Title: Isprs Journal of Photogrammetry and Remote Sensing
Year Published: 2017

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