Life Sciences Commons^™

Classification Of Eurasian Watermilfoil (Myriophyllum Spicatum) Using Drone-Enabled Multispectral Imagery Analysis, Colin Brooks, Amanda Grimm, Amy Marcarelli, Nicholas Marion, Robert Shuchman, Michael Sayers

Michigan Tech Publications

Remote sensing approaches that could identify species of submerged aquatic vegetation (SAV) and measure their extent in lake littoral zones would greatly enhance SAV study and management, especially if these approaches can provide faster or more accurate results than traditional field methods. Remote sensing with multispectral sensors can provide this capability, but SAV identification with this technology must address the challenges of light extinction in aquatic environments where chlorophyll, dissolved organic carbon, and suspended minerals can affect water clarity and the strength of the sensed light signal. Here, we present an uncrewed aerial system (UAS)-enabled methodology to identify the extent …