 This research paper investigated the use of unmanned aerial vehicles, UAVs, and monitoring Antarctic moss beds. It compared the spatial resolution of UAV imagery to traditional airborne remote sensing and found that UAVs could provide finer spatial resolution data up to 1 centimeter per pixel and higher temporal resolution data than traditional methods. To ensure accurate spatial co-registration of the different UAV images, the authors developed their own algorithms based on the SIFT algorithm. They validated these algorithms by comparing the results to those obtained through commercial software. The results showed that the RMSE of the co-registration was 1.78 pixels, which is within acceptable limits for UAV-based monitoring of Antarctic moss beds. This article was authored by Darren Turner, Arco Lucier, Zbinek Malinowski, and others.