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| Titel |
A new method for determination of most likely landslide initiation points and the evaluation of digital terrain model scale in terrain stability mapping |
| VerfasserIn |
P. Tarolli, D. G. Tarboton |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 10, no. 5 ; Nr. 10, no. 5 (2006-09-27), S.663-677 |
| Datensatznummer |
250008192
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| Publikation (Nr.) |
 copernicus.org/hess-10-663-2006.pdf |
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| Zusammenfassung |
| This paper introduces a new approach for determining the most likely
initiation points for landslides from potential instability mapped using a
terrain stability model. This approach identifies the location with critical
stability index from a terrain stability model on each downslope path from
ridge to valley. Any measure of terrain stability may be used with this
approach, which here is illustrated using results from SINMAP, and from
simply taking slope as an index of potential instability. The relative
density of most likely landslide initiation points within and outside mapped
landslide scars provides a way to evaluate the effectiveness of a terrain
stability measure, even when mapped landslide scars include run out zones,
rather than just initiation locations. This relative density was used to
evaluate the utility of high resolution terrain data derived from airborne
laser altimetry (LIDAR) for a small basin located in the Northeastern Region
of Italy. Digital Terrain Models were derived from the LIDAR data for a
range of grid cell sizes (from 2 to 50 m). We found appreciable differences
between the density of most likely landslide initiation points within and
outside mapped landslides with ratios as large as three or more with the
highest ratios for a digital terrain model grid cell size of 10 m. This leads
to two conclusions: (1) The relative density from a most likely landslide
initiation point approach is useful for quantifying the effectiveness of a
terrain stability map when mapped landslides do not or can not differentiate
between initiation, runout, and depositional areas; and (2) in this study
area, where landslides occurred in complexes that were sometimes more than
100 m wide, a digital terrain model scale of 10 m is optimal. Digital
terrain model scales larger than 10 m result in loss of resolution that
degrades the results, while for digital terrain model scales smaller than 10
m the physical processes responsible for triggering landslides are obscured
by smaller scale terrain variability. |
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