Accuracy of structure from motion (SfM) photogrammetry- the widespread availability of software (often free) to fully automate the photogrammetric process has created a massive increase in users. This has to be welcomed but just how accurate are these black box solutions and how critical is image quality and geometry? Ongoing work is trying to answer such questions with a particular focus on free packages like Autodesk Recap Photo/Memento/123D catch. An early article published in Geomatics World indicates it’s potential. Collaboration with the University of Lausanne has demonstrated the potential of a smart phone to capture the landscape (Figs: 1, 2), which is of particular interest to geomorphologists conducting fieldwork (see below). This was widely tweeted recently!
Jim was recently joined by Prof. Enoc Sanz-Ablanedo (University of Leon, Spain) who was on a six month sabbatical here at Loughborough. The main focus of his work was to examine the potential of UAV imagery for extracting accurate spatial data, with a specific focus on systematic error surfaces (“domes”) & how to reduce their impact.
Modern geomatics methods for monitoring coastal infrastructure- Ph.D. student Luigi Parente (2016-19) is looking at SfM solutions for monitoring deformation/movement and is working in collaboration with Prof Roger Moore and Roger Littleworth from CH2M. This Ph.D. project is supervised by Jim Chandler and Neil Dixon, and involves detailed laboratory testing and the monitoring of a field site in Lyme Regis (Fig 3). For the latest outcomes please look at Luigi’s own webpages or checkout his July 2018 article published in “SENSED” (page 8), the Remote Sensing and Photogrammetry Society’s newsletter. Luigi presented his work at VGC2018, in Kingston, Ontario, Canada in August 2018.
3D modelling using image based solutions- there are many opportunities for now creating and sharing 3D models derived from the new generation of image/photogrammetry based solutions which use SfM photogrametry.