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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/nhess-2018-282
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-2018-282
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 26 Nov 2018

Research article | 26 Nov 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Natural Hazards and Earth System Sciences (NHESS).

A Remote Sensing–based Intensity-Duration Curve, Faifa Mountains, Saudi Arabia

Sita Karki1, Mohamed Sultan1, Saleh A. Al-Sefry2, Hassan M. Alharbi2, Mustafa Kemal Emil1, Racha Elkadiri3, and Emad Abu Alfadail2 Sita Karki et al.
  • 1Department of Geological and Environmental Sciences, Western Michigan University, Kalamazoo, MI, USA
  • 2Saudi Geological Survey, Jeddah, Kingdom of Saudi Arabia
  • 3Department of Geosciences, Middle Tennessee State University, Murfreesboro, TN, USA

Abstract. Construction of intensity-duration (ID) curves and early warning systems for landslides (EWSL) are hampered by the paucity of temporal and spatial archival data. We developed methodologies that could be used for the construction of an ID curve that could be used for the construction of an EWSL over the Faifa Mountains in the Red Sea Hills. The developed methodologies relies on temporal, readily available, archival Google Earth and Sentinel-1 imagery, precipitation measurements, and limited field data. These methodologies accurately distinguished landslide-producing storms from non–landslide producing ones and identified the locations of these landslides with an accuracy of 60%.

Sita Karki et al.
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Sita Karki et al.
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