Articles | Volume 19, issue 6
Nat. Hazards Earth Syst. Sci., 19, 1235–1249, 2019
https://doi.org/10.5194/nhess-19-1235-2019
Nat. Hazards Earth Syst. Sci., 19, 1235–1249, 2019
https://doi.org/10.5194/nhess-19-1235-2019

Research article 20 Jun 2019

Research article | 20 Jun 2019

A remote-sensing-based intensity–duration threshold, Faifa Mountains, Saudi Arabia

Sita Karki et al.

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Cited articles

Aleotti, P.: A warning system for rainfall-induced shallow failures, Eng. Geol., 73, 247–265, https://doi.org/10.1016/j.enggeo.2004.01.007, 2004. 
Alharbi, T., Sultan, M., Sefry, S., ElKadiri, R., Ahmed, M., Chase, R., Milewski, A., Abu Abdullah, M., Emil, M., and Chounaird, K.: An assessment of landslide susceptibility in the Faifa area, Saudi Arabia, using remote sensing and GIS techniques, Nat. Hazards Earth Syst. Sci., 14, 1553–1564, https://doi.org/10.5194/nhess-14-1553-2014, 2014. 
Alsharhan, A. S., Rizk, Z. A., Nairn, A. E. M., Bakhit, D. W., and Alhajari, S. A.: Hydrogeology of an arid region: the Arabian Gulf and adjoining areas, Elsevier, Amsterdam, the Netherlands, 2001. 
Battistini, A., Rosi, A., Segoni, S., Lagomarsino, D., Catani, F., and Casagli, N.: Validation of landslide hazard models using a semantic engine on online news, Appl. Geogr., 82, 59–65, https://doi.org/10.1016/j.apgeog.2017.03.003, 2017. 
Berti, M., Martina, M. L. V., Franceschini, S., Pignone, S., Simoni, A., and Pizziolo, M.: Probabilistic rainfall thresholds for landslide occurrence using a Bayesian approach, J. Geophys. Res., 117, F04006, https://doi.org/10.1029/2012JF002367, 2012. 
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Short summary
We constructed an intensity–duration thresholding technique required to develop an early-warning system for the Faifa Mountains in Saudi Arabia. The study uses radar imagery, satellite-derived rainfall data, archival imagery, and limited field data. The study presents a significant development in the application of radar for hydrogeological and geomorphological studies as it provides better resilience towards nonoptical conditions.
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