Wetlands and streams provide numerous ecosystems services and are protected under federal and state laws. These regulations require permits when fill material is discharged into regulated streams and wetlands from roadway construction and maintenance activities, which also can require compensatory mitigation. Environmental review, permitting, and mitigation are time-consuming with the overall permitting process taking months to years to complete. Departments of Transportation cannot begin road construction or maintenance activities until impacted streams and wetlands are identified, permits have been obtained and mitigation is secured. Existing maps and information on streams and wetlands such as the National Wetlands Inventory (NWI) are outdated and often omit smaller wetlands and streams. A method that could quickly and remotely forecast the location and boundaries of streams and wetlands would be of great benefit to transportation agencies by aiding in the planning of the budget and timeline of projects as well as identifying watersheds that will require large mitigation efforts for advanced credit purchasing. We developed a method that incorporates remotely sensed information from aerial imagery and lidar (laser returns) to predict the locations of wetlands and stream channels. We applied image classification and terrain analysis to identify potential wetlands and streams in five test watersheds across Ohio. With an overlay of road project data, we identified potential projects of the Ohio Department of Transportation (ODOT) over the next four fiscal years that could impact nearby streams or wetlands. Our method mapped significantly more vegetated wetlands and stream channels than identified by the NWI within our test watersheds. In addition, our method extracted drainage features alongside roads that could become captured streams if located within project easements. Ground truthing efforts verified the location of many predicted wetlands and streams. The overall accuracy of the method ranged from 64.5% to 85.6% when compared to known points. Accuracy decreased with increasing watershed size. Challenges with this method include: 1) Concurrent analysis of adjacent imagery that was taken at different seasons resulting in color/spectral discrepancies within the same land cover class; 2) Mis-classification of agricultural land due to differences in crop and soil moisture levels; 3) Mis-classification of land cover due to recent land cover change; 4) Color/spectral changes in open water due to turbidity or wind; and 5) Mis-classification of tree lines or tree canopy over roadways as wetland due to a shadow effect. The method is such that ODOT can continue to implement these procedures as new remotely sensed data becomes available. The resulting maps of wetlands and streams can continue to be overlaid with planned projects in the four-year window to prioritize and budget for mitigation efforts in perpetuity.