We propose to monitor the growth of Eurasian Watermilfoil (EWM) in Goose Bay (located in the Town of Alexandria (population 4061 [2010]) Upstate NY, using a combined approach of rake tossing, hyperspectral sensor imaging, and acoustic sonar imaging. As EWM is one of the most aquatic invasive species (AIS) in Upstate NY (and throughout the US), with no well defined control strategies, studies like this are crucial to ensuring the future health of all waterways for which it invades. First we will define a quantitative monitoring methodology to track EWM growth across our test site, Goose Bay, where we work closely with local stakeholders to best understand their needs. Our methodology is a combination of rake tossing (providing details on EWM biomass percent abundance), sonar scanning (providing details on all plant biomass density), and hyperspectral sensor imaging (providing a detailed spectral signature of EWM), allowing us to quantitatively track EWM biomass density over a growing. This work is highly collaborative, and combines limnological expertise, mathematical modeling, and experts and acoustic and spectral sensing. The aim is to combine the newest mathematical theory, experimental data, and advanced sensing techniques to quantify best practices for EWM monitoring and control. Predictive models for EWM control (developed by the PI) will be fit to collected data, allowing for the predictions of future outbreaks, and the development of studying "in silico" control strategies. My team will provide insight into the best control approach in terms of time, effort, and monetary costs. At the heart of the work are the local people affected by these invasives. Such water bodies are their home, and so our optimal control strategy will take into account stakeholder input.