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| Titel |
An assessment of landslide susceptibility in the Faifa area, Saudi Arabia, using remote sensing and GIS techniques |
| VerfasserIn |
T. Alharbi, M. Sultan, S. Sefry, R. Elkadiri, M. Ahmed, R. Chase, A. Milewski, M. Abu Abdullah, M. Emil, K. Chounaird |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Sciences ; 14, no. 6 ; Nr. 14, no. 6 (2014-06-23), S.1553-1564 |
| Datensatznummer |
250118503
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| Publikation (Nr.) |
 copernicus.org/nhess-14-1553-2014.pdf |
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| Zusammenfassung |
| An integrated approach was adopted over Faifa Mountain and its surroundings,
in Saudi Arabia, to identify landslide types, distribution, and controlling
factors, and to generate landslide susceptibility maps. Given the
inaccessibility of the area, we relied on remote sensing observations and
GIS-based applications to enable spatial analysis of data and extrapolation
of limited field observations. Susceptibility maps depicting debris flows
within ephemeral valleys (Type I) and landslides caused by failure along
fracture planes (Type II) were generated. Type I susceptibility maps were
generated applying linear relationships between normalized difference
vegetation index (NDVI) and threshold slope values (30°), both of
which were extracted over known debris flow locations. For Type II
susceptibility maps, landslides were predicted if fracture planes had strike
values similar to (within 20°) those of the slope face strike and dip
angles exceeding the friction, but not the slope angles. Comparisons between
predicted and observed debris flows yielded success rates of 82%
(ephemeral valleys); unverified predictions are interpreted as future
locations of debris flows. Our approach could serve as a replicable model for
many areas worldwide, in areas where field measurements are difficult to
obtain and/or are cost prohibitive. |
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