Globally, wetlands provide important ecosystem services and are critical to supporting wildlife and biodiversity. Anthropogenic disturbances, such as road construction, have a negative impact on wetland health and have dramatically reduced their number worldwide. In response to the damage caused by road construction, the Washington State Department of Transportation (WSDOT) mitigates the consequent reduction of functions and the loss of wetlands through restoration efforts, including the monitoring and eradication of invasive vegetation (e.g. reed canary grass). WSDOT currently maps and monitors invasive species on the ground, which is challenging as they are hard to access due to inundation and dense vegetation. Compared to field survey methods, drones have the potential to quickly and safely survey large areas, reducing human effort and cost. By focusing on a single mitigation wetland site, we investigate the use of drones as an effective tool to accurately survey reed canary grass. We use object-based image analysis (OBIA) to create maps of reed canary grass cover and test the accuracy of the map using visual interpretation and confusion matrices. Results will inform about the difference in map accuracy between three drone sensors, an add-on 5-band (red, green, blue, red-edge, near-infrared (NIR)) camera and two built-in 3-band (reed, green, blue) cameras. We discuss opportunities and limitations of using drones as a tool to map invasive species. Additionally, we highlight the considerations that ecologists and natural resource managers must take into account when using drones for wetland monitoring. In conclusion, we identify future areas of research that include testing the repeatability of these methods at additional wetlands and increasing the suitability, number, and timing of the field data in support of this work.