• Machine learning for classification of an eroding scarp surface using terrestrial photogrammetry with nir and rgb imagery 

      Bernsteiner, H.; Brozova, N.; Eischeid, Isabell; Hamer, A.; Haselberger, S.; Huber, M.; Kollert, A.; Vandyk, T. M.; Pirotti, F. (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-08-03)
      Increasingly advanced and affordable close-range sensing techniques are employed by an ever-broadening range of users, with varying competence and experience. In this context a method was tested that uses photogrammetry and classification by machine learning to divide a point cloud into different surface type classes. The study site is a peat scarp 20 metres long in the actively eroding river bank ...