Abstract
The increasing availability of remotely sensed precipitation and surface products provides a unique opportunity to explore how landslide susceptibility and hazard assessment may be approached at larger spatial scales with higher resolution remote sensing products. A prototype global landslide hazard assessment framework has been developed to evaluate how landslide susceptibility and satellite-derived precipitation estimates can be used to identify potential landslide conditions in near-real time. Preliminary analysis of this algorithm suggests that forecasting errors are geographically variable due to the resolution and accuracy of the current susceptibility map and the application of satellite-based rainfall estimates. This research is currently working to improve the algorithm through considering higher spatial and temporal resolution landslide susceptibility information and testing different rainfall triggering thresholds, antecedent rainfall scenarios, and various surface products at regional and global scales.
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References
Baum RL, Godt JW, Savage WZ (2010) Estimating the timing and location of shallow rainfall induced landslides using a model for transient, unsaturated infiltration. J Geophys Res 115(F03013):1–26
Bucknam RC, Coe JA, Chavarria MM, Godt JW, Tarr AC, Bradley L, Rafferty S, Hancock D, Dart RL, Johnson ML (2001) Landslides triggered by Hurricane Mitch in Guatemala – inventory and discussion. US Geological Survey Open-File Report 01–443, pp 1–40
Chleborad AF, Baum RL, Godt JW (2006) Rainfall thresholds for forecasting landslides in the Seattle, Washington, Area—Exceedance and probability. US Geological Survey Open-File Report, 2006–1064
Coe JA, Godt JW, Baum RL, Bucknam RC, Michael JA (2004) Landslide susceptibility from topography in Guatemala. In: Lacerda WA, Ehrlich M, Fontura SAB, Sayao ASF (eds) Landslides: evaluation and stabilization. Taylor & Francis Group, London, pp 69–78
Devoli G, Strauch W, Chavez G, Hoeg K (2007) A landslide database for Nicaragua: a tool for landslide-hazard management. Landslides 4:163–176
Glade T, Crozier M, Smith P (2000) Applying probability determination to refine landslide-triggering rainfall thresholds using empirical ‘Antecedent Daily Rainfall Model’. Pure Appl Geophys 157:1059–1079
Godt JW, Baum RL, Chleborad AF (2006) Rainfall characteristics for shallow landsliding in Seattle, Washington, USA. Earth Surf Proc Land 31:97–110
Harp EL, Hagaman KW, Held MD, Mckenna JP (2002) Digital inventory of landslides and related deposits in Honduras Triggered by Hurricane Mitch. US Geological Survey Open-File Report 02–61, pp 1–18
Hong Y, Adler R, Huffman G (2006) Evaluation of the potential of NASA multi-satellite precipitation analysis in global landslide hazard assessment. Geophys Res Lett 33(L22402):1–5
Huffman GJ, Adler RF, Bolvin DT, Gu G, Nelkin EJ, Bowman KP, Hong Y, Stocker EF, Wolff DB (2007) The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales. J Hydrometeorol 8:38–55
Hong Y, Adler R, Huffman G (2007) Use of satellite remote sensing data in the mapping of global landslide susceptibility. Nat Hazards 43(2):245–256
Iverson RM (2000) Landslide triggering by rain infiltration. Water Resour Res 36(7):1897–1910
Kirschbaum DB (2009) Multi-scale landslide hazard and risk assessment: a modeling and multivariate statistical approach. Doctoral Dissertation, Columbia University
Kirschbaum DB, Adler R, Hong Y, Hill S, Lerner-Lam A (2009a) A global landslide catalog for hazard applications: method, results, and limitations. Nat Hazards 52(3):561–575
Kirschbaum DB, Adler R, Hong Y, Lerner-Lam A (2009b) Evaluation of a preliminary satellite-based landslide hazard algorithm using global landslide inventories. Nat Hazard Earth Syst Sci 9:673–686
Kirschbaum DB, Adler R, Hong Y, Kumar S, Peters-Lidard C, Lerner-Lam A (2011) Advances in landslide nowcasting: evaluation of a global and regional modeling approach. Environmental Earth Sciences 66(6):1683–1696
Nadim F, Kjekstad O, Peduzzi P, Herold C, Jaedicke C (2006) Global landslide and avalanche hotspots. Landslides 3:159–173
Pack RT, Tarboton DG, Goodwin CN (2001) Assessing terrain stability in a GIS using SINMAP. In: Proceedings of the 15th annual GIS conference, GIS 2001, Vancouver, British Columbia, 19–22 Feb 2001, pp 1–9
Rodriguez CE, Torres AT, Leon EA (2006) Landslide hazard in El Salvador. In: Nadim F, Pottler R, Einstein H, Klapperich H, Lillehammer KS (eds) Proceedings of ECI conference on Geohazards, pp 1–10
Acknowledgments
The authors greatly acknowledge the State Geological Surveys and the individuals who provided landslide inventory information. This work was supported by the GPM mission and NASA’s Applied Sciences Program.
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Kirschbaum, D., Adler, R., Peters-Lidard, C. (2013). Using Remotely Sensed Information for Near Real-Time Landslide Hazard Assessment. In: Margottini, C., Canuti, P., Sassa, K. (eds) Landslide Science and Practice. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31325-7_47
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DOI: https://doi.org/10.1007/978-3-642-31325-7_47
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