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Small-Scale Surface Reconstruction and Volume Calculation of Soil Erosion in Complex Moroccan Gully Morphology Using Structure from Motion

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Kaiser, Andreas ; Neugirg, Fabian ; Rock, Gilles ; Müller, Christoph ; Haas, Florian ; Ries, Johannes ; Schmidt, Jürgen:
Small-Scale Surface Reconstruction and Volume Calculation of Soil Erosion in Complex Moroccan Gully Morphology Using Structure from Motion.
In: Remote sensing. 6 (2014) 8. - S. 7050-7080.
ISSN 2072-4292

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Veröffentlichungsstatus: Veröffentlichte Version
Verfügbar unter folgender Lizenz: Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Creative Commons: Namensnennung, nicht kommerziell, keine Bearbeitung (CC BY-NC-ND 4.0) .

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Volltext Link zum Volltext (externe URL):
http://dx.doi.org/10.3390/rs6087050

Kurzfassung/Abstract

This study presents a computer vision application of the structure from motion (SfM) technique in three dimensional high resolution gully monitoring in southern Morocco. Due to impractical use of terrestrial Light Detection and Ranging (LiDAR) in difficult to access gully systems, the inexpensive SfM is a promising tool for analyzing and monitoring soil loss, gully head retreat and plunge pool development following heavy rain events. Objects with known dimensions were placed around the gully scenes for scaling purposes as a workaround for ground control point (GCP) placement. Additionally, the free scaling with objects was compared to terrestrial laser scanner (TLS) data in a field laboratory in Germany. Results of the latter showed discrepancies of 5.6% in volume difference for erosion and 1.7% for accumulation between SfM and TLS. In the Moroccan research area soil loss varied between 0.58 t in an 18.65 m2 narrowly stretched gully incision and 5.25 t for 17.45 m2 in a widely expanded headcut area following two heavy rain events. Different techniques of data preparation were applied and the advantages of SfM for soil erosion monitoring under complex surface conditions were demonstrated.

Weitere Angaben

Publikationsform:Artikel
Schlagwörter:structure from motion; high resolution 3D model; multi-view stereo reconstruction; computer vision; photogrammetry; LiDAR; TLS; Morocco; soil erosion monitoring; gully erosion; volume calculation
Institutionen der Universität:Mathematisch-Geographische Fakultät > Geographie > Lehrstuhl für Physische Geographie
Peer-Review-Journal:Ja
Verlag:MDPI
Die Zeitschrift ist nachgewiesen in:
Titel an der KU entstanden:Ja
KU.edoc-ID:14557
Eingestellt am: 04. Aug 2014 15:21
Letzte Änderung: 05. Aug 2014 16:22
URL zu dieser Anzeige: https://edoc.ku.de/id/eprint/14557/
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