 This paper presents a technique for geometric correction and mosaic-ing of UAV photography using feature matching and structure for motion, SFM, photogrammetric techniques, which can provide high-resolution imagery at an unprecedented spatial and temporal resolution. The small footprint of UAV imagery requires automated techniques to rectify and mosaic the imagery for larger area monitoring. The technique involves creating three-dimensional point clouds from images, transforming them into a real-world coordinate system using either direct-referencing or ground-control point, GCP, technique, generating a digital terrain model, DTM, and joining subsequent geo-referenced images to form a mosaic of the study area. The absolute spatial accuracy of the direct technique is 65-120 cm while the GCP technique achieves an accuracy of approximately 10-15 cm. This article was authored by Christopher Watson, Arco Lucier, and Darren Turner. We are article.tv, links in the description below.