Wetlands are dynamic ecosystems that exist in unique spatial and temporal circumstances across a landscape. Identification of wetlands and their extents traditionally requires an intensive ground survey to assess the local vegetation, soils, and hydrology of a site. Past research investigating remote detection and identification of wetlands has largely been limited to specific ecosystems, wetland types, or coarse spatial data. Recent advances in Uncrewed Aerial Systems (UAS, also known as “drones”), have opened new possibilities in the realm of remote wetland detection. In the past few years Felsburg Holt & Ullevig (FHU) has partnered with the Nebraska Department of Transportation (NDOT) and the Colorado Department of Transportation (CDOT) to investigate remote wetland detection as a supplemental tool to assist traditional wetland surveys, in an effort to create workflow efficiencies and improve decision-making. In cooperation with NDOT, FHU developed the “Wetland Prediction Model” which utilizes LiDAR data to model the hydrology and terrain of a site to identify potential wetland areas within the landscape. NDOT has integrated the model into their workflows to assist in preliminary site investigations and project scoping. With CDOT, FHU used multispectral sensors to detect vegetation signatures and assess plant biomass as a potential indicator for wetland presence. In addition, FHU identified specific technological, analytical, and biological parameters that CDOT can carry forward for future implementation that optimizes the effectiveness and efficiency of remote wetland detection.