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    Quantification and analysis of geomorphic processes on a recultivated iron ore mine on the Italian island of Elba using long-term ground-based lidar and photogrammetric SfM data by a UAV

    Titelangaben

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    Haas, Florian ; Hilger, Ludwig ; Neugirg, Fabian ; Umstädter, Kathrin ; Breitung, Christian ; Fischer, Peter ; Hilger, Paula ; Heckmann, Tobias ; Dusik, Jana ; Kaiser, Andreas ; Schmidt, Jürgen ; Della Seta, Marta ; Rosenkranz, Ruben ; Becht, Michael:
    Quantification and analysis of geomorphic processes on a recultivated iron ore mine on the Italian island of Elba using long-term ground-based lidar and photogrammetric SfM data by a UAV.
    In: Natural Hazards and Earth System Sciences. 16 (31. Mai 2016). - S. 1269-1288.
    ISSN 1561-8633 ; 1684-9981

    Volltext

    Volltext Link zum Volltext (externe URL):
    http://www.nat-hazards-earth-syst-sci.net/16/1269/...

    Kurzfassung/Abstract

    This study focuses on the quantification and analysis
    of geomorphic processes on the barely vegetated slopes of
    a recultivated iron ore mine on the Italian island of Elba using
    photographs from terrestrial laser scanning (TLS) and digital
    photogrammetry by an unmanned aerial vehicle (UAV) over
    a period of 5 1/2 years. Beside this, the study tried to work
    out the potential and the limitations of both methods to detect
    surface changes by geomorphic process dynamics within a
    natural environment. Both UAV and TLS show the pattern of
    the erosion and accumulation processes on the investigated
    slope quite well, but the calculated amounts differ clearly between
    the methods. The reasons for these differences could
    be found in the different accuracies (variable level of detections)
    of the methods and the different viewing geometries.
    Both effects have an impact on the detectable process dynamics
    over different timescales on the slope and their calculated
    amounts, which in both cases can lead to an underestimation
    of erosion and accumulation by fluvial processes.

    Forschungsprojekte

    Quantifizierung, Analyse und Modellierung von Hangabtrag auf steilen Erosionshängen in unterschiedlichen klimatischen Räumen durch Ground-based Laserdaten

    Weitere Angaben

    Publikationsform:Artikel
    Schlagwörter:SfM; UAV; TLS; LiDAR
    Institutionen der Universität:Mathematisch-Geographische Fakultät > Geographie > Lehrstuhl für Physische Geographie
    Mathematisch-Geographische Fakultät > Geographie > Fachgebiet Bodengeographie und Bodenerosion
    Peer-Review-Journal:Ja
    Verlag:Copernicus
    Die Zeitschrift ist nachgewiesen in:
    Titel an der KU entstanden:Ja
    KU.edoc-ID:18317
    Eingestellt am: 13. Jul 2016 14:48
    Letzte Änderung: 14. Jun 2021 16:46
    URL zu dieser Anzeige: https://edoc.ku.de/id/eprint/18317/
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