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| Titel |
Change detection using terrestrial laser scanning in steep terrain and complex surface geometry - Survey planning, data processing and validation |
| VerfasserIn |
Peter Schürch, Alex L. Densmore, Nick J. Rosser, Michael Lim, Brian W. McArdell |
| Konferenz |
EGU General Assembly 2010
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 12 (2010) |
| Datensatznummer |
250036220
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| Zusammenfassung |
| Terrestrial laser scanning for detection of geomorphic change is still a young technique
without established procedures. Complex surface geometry and large areas (104Â m2) require
multi-scan-station surveys and pose new challenges for consistent point cloud co-registration.
Uncertainties in DEMs derived from terrestrial laser scanning are much larger than the
measurement uncertainty of the laser scanner. They arise from a number of factors specific to
the workflow used. The quality assessment of this type of data is difficult because higher
quality check data is usually not available. We show the workflow used for repeat surveys of a
300Â m long debris flow channel using 10 scan stations and investigate the importance of
various factors on the uncertainty in the resulting DEM. Our research shows that the point
cloud co-registration is the most important factor influencing the quality of a DEM. But the
same time this is the most difficult step in the workflow. We propose a novel method
for the assessment of point cloud co-registration quality based on topographically
corrected standard deviation of elevation. We provide guidelines for survey planning,
data acquisition, processing and validation specific to terrestrial laser scanning. |
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