Percent cover in classified UAV imagery - raw data

This dataset was used to evaluate the utility of unoccupied aerial vehicles (UAV) for monitoring tidal marsh restoration at a site in Elkhorn Slough, on the Central Coast of California, USA. We evaluated the accuracy of UAV imagery for calculating vegetation cover in 24 plots measuring approximately 1 m2. UAV percent cover estimates were calculated from four different classified orthomosaics using pixel-based classification with a maximum likelihood classifier. One orthomosaic was collected at each of three flight altitudes (10, 30, and 60 m) and included only visible spectrum (red, green, and blue; RGB) data, while an additional orthomosaic collected at 30 m altitude also included near infrared (NIR) data. Columns 3-10 reflect the area belonging to different classes in each plot, while column 11 is the total area in each plot. Vegetated cover is the sum of Spergularia marina and Salicornia pacifica (pickleweed) cover.