Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 16, issue 5
Articles | Volume 16, issue 5
https://doi.org/10.5194/nhess-16-1269-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-16-1269-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 16, issue 5
Research article
 | 
31 May 2016
Research article |  | 31 May 2016

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

Florian Haas, Ludwig Hilger, Fabian Neugirg, Kathrin Umstädter, Christian Breitung, Peter Fischer, Paula Hilger, Tobias Heckmann, Jana Dusik, Andreas Kaiser, Jürgen Schmidt, Marta Della Seta, Ruben Rosenkranz, and Michael Becht

Viewed

Total article views: 4,230 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,087 1,906 237 4,230 170 182
  • HTML: 2,087
  • PDF: 1,906
  • XML: 237
  • Total: 4,230
  • BibTeX: 170
  • EndNote: 182
Views and downloads (calculated since 13 Oct 2015)
Cumulative views and downloads (calculated since 13 Oct 2015)
Latest update: 21 Nov 2025
Download
Short summary
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 and digital photogrammetry by an unmanned aerial vehicle 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.
Read more
Share
Altmetrics
Final-revised paper
Preprint