Remote Sensing Applications and Decision Support

Terrestrial and unmanned aerial system imagery for deriving photogrammetric three-dimensional point clouds and volume models of mass wasting sites

[+] Author Affiliations
Martin Hämmerle, Fabian Schütt

Heidelberg University, Institute of Geography (GIScience Research Group), Im Neuenheimer Feld 368, Heidelberg 69120, Germany

Bernhard Höfle

Heidelberg University, Institute of Geography (GIScience Research Group), Im Neuenheimer Feld 368, Heidelberg 69120, Germany

Heidelberg University, Heidelberg Center for the Environment, Heidelberg 69120, Germany

J. Appl. Remote Sens. 10(2), 026029 (Jun 03, 2016). doi:10.1117/1.JRS.10.026029
History: Received January 21, 2016; Accepted May 5, 2016
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Abstract.  Three-dimensional (3-D) geodata of mass wasting sites are important to model surfaces, volumes, and their changes over time. With a photogrammetric approach commonly known as structure from motion, 3-D point clouds can be derived from image collections in a straightforward way. The quality of point clouds covering a quarry dump derived from terrestrial and aerial imagery is compared and assessed. A comprehensive set of quality indicators is calculated and compared to surveyed reference data and to a terrestrial LiDAR point cloud. The examined indicators are completeness of coverage, point density, vertical accuracy, multiscale point cloud distance, scaling accuracy, and dump volume. It is found that the photogrammetric datasets generally represent the examined dump well with, for example, an area coverage of up to 90% and 100% in case of terrestrial and aerial imagery, respectively, a maximum scaling difference of 0.62%, and volume estimations reaching up to 100% of the LiDAR reference. Combining the advantages of 3-D geodata derived from terrestrial (high detail, accurate volume calculation even with a small number of input images) and aerial images (high coverage) can be a promising method to further improve the quality of 3-D geodata derived with low-cost approaches.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Martin Hämmerle ; Fabian Schütt and Bernhard Höfle
"Terrestrial and unmanned aerial system imagery for deriving photogrammetric three-dimensional point clouds and volume models of mass wasting sites", J. Appl. Remote Sens. 10(2), 026029 (Jun 03, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.026029


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