Wildlife crossings are often constructed for specific target species in locations where previous road mortalities have occurred or where the vegetation directly surrounding the road is favorable. This placement method neglects considerations of whether the habitat surrounding the road is appropriate to support the target species. In South Texas, wildlife crossings are being constructed along highways to aid in the conservation of the endangered ocelot (Leopardus pardalis). Ocelots in South Texas have a strong preference for woody cover, especially Tamaulipan thornshrub, which is characterized by dense vertical and horizontal canopy cover. Many species also prefer this habitat, including bobcats (Lynx rufus), a sympatric felid with similar ecological needs to ocelots. We examined landscape-level and internal vegetation structure around wildlife crossings built for ocelots and other wildlife along three roads in Cameron County, Texas using aerial imagery and LiDAR. We determined landscape structure of woody vegetation in a one-km area around 14 wildlife crossing locations by calculating percentage of landscape, patch density, edge density, mean patch area, distance to nearest patch, patch size, and landscape shape index from classified 1-m resolution NAIP imagery. Within each area, we also calculated canopy height (m) basal area (m2/ha), and leaf area density (m2/m3) from LiDAR to assess internal vegetation structure. We compared these metrics to those in 14 randomly determined locations away from major roads to assess how the vegetation structure around wildlife crossings compares to non-disturbed areas. We also compared how vegetation structure was related to bobcat detections from camera traps at wildlife crossings. We expect that there will be larger patches of woody cover with higher leaf area density in areas away from roads compared to wildlife crossing locations and that bobcats will preferentially use wildlife crossings with more dense woody cover.