• Blais-Stevens A, Behnia P (2016) Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada. Nat Hazard Earth Syst Sci 16:449–462.https://doi.org/10.5194/nhess-16-449-2016

  Article  Google Scholar 

• Blais-Stevens A, Couture R, Page A (2010a) Landslide inventory along the Alaska Highway Corridor, Yukon. Geological Survey of Canada, Ottawa, open file 6654, DVD

• Blais-Stevens A, Couture R, Page A, Koch J, Clague JJ, Lipovsky P (2010b) Landslide susceptibility, hazard and risk assessments along pipeline corridors in Canada. In: Proceedings of the 63rd Canadian geotechnical conference and 6th Canadian permafrost conference, Calgary, AB, pp 878–885

• Blais-Stevens A, Lipovsky P, Kremer M, Couture R, Page A (2012a) Landslide inventory and susceptibility mapping for a proposed pipeline route, Yukon Alaska Highway Corridor. In: Proceedings of the second world landslide forum, Rome, Italy, pp 777–782

• Blais-Stevens A, Kremer M, Bonnaventure PP, Smith, SL, Lipovsky P , Lewkowicz AG (2014) Active layer detachment slides and retrogressive thaw slumps susceptibility mapping for present-day and projected climate conditions along the Yukon Alaska highway corridor –A qualitative heuristic approach. IAEG conference, Torino. In: Lollino G, Manconi A, Clague JJ, Shan W, Chiarle M (eds) Engineering Geology for Society and Territory, vol 1, Springer, pp 449–453

• Bonnaventure PP, Lewkowicz AG, Kremer M, Sawada MC (2012) A permafrost probability model for the southern Yukon and northern British Columbia, Canada. Permafr Periglac Process 23:52–68.https://doi.org/10.1002/pp.1733

  Article  Google Scholar 

• Breiman L (1996) Bagging predictors. Mach Learn 24:123–140

  Google Scholar 

• Breiman L (2001) Random forests. Mach Learn 45(1):5–32

  Article  Google Scholar 

• Breiman L, Cutler A (2011) Random forests.www.stat.berkeley.edu/~breiman/RandomForests/cc_home.htm. Last visited on 20 May 2015

• Breiman L, Friedman J, Stone CJ, Olshen RA (1984) Classification and regression trees. Wadsworth, Belmont

  Google Scholar 

• Calmels F, Roy L-P, Laurent C, Pelletier M, Kinnear L, Benkert B, Horton B, Pumple J (2015) Vulnerability of the North Alaska Highway to permafrost thaw: a field guide and data synthesis. Northern Climate ExChange, Yukon Research Centre, Whitehorse

  Google Scholar 

• Catani F, Lagomarsino D, Segoni S, Tofani V (2013) Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues. Nat Hazard Earth Syst Sci 13:2815–2831

  Article  Google Scholar 

• Chung CF, Fabbri AG (2003) Validation of spatial prediction models for landslide hazard mapping. Nat Hazards 30:451–472

  Article  Google Scholar 

• Chuvieco E, Huete A (2009) Fundamentals of satellite remote sensing. CRC Press, Boca Raton, p 448

  Google Scholar 

• Coe JA, Harp EL (2007) Influence of tectonic folding on rockfall susceptibility, American Fork Canyon, Utah, USA. Nat Hazard Earth Syst Sci 7:1–14

  Article  Google Scholar 

• Couture R, Blais-Stevens A, Page A, Koch J, Clague JJ, Lipovsky PS (2010) Landslide susceptibility, hazard and risk assessment along pipelines in Canada. In: Williams AL, Pinches GM, Chin CY, McMorran TJ, Massey CI (eds) Proceedings of the 11th international association for engineering geology and the environment congress, Auckland, New Zealand, Sept 5–10, pp 1023–1031

• Criminisi A, Shotton J, Konukoglu E (2011) Decision forests for classification, regression, density estimation, manifold learning and semi-supervised learning. Microsoft research technical report TR-2011-114.http://research.microsoft.com/apps/pubs/default.aspx?id=155552. Accessed 18 Aug 2014

• Dilts TE (2015) Topography tools for ArcGIS 10.1. University of Nevada Reno.http://www.arcgis.com/home/item.html?id=b13b3b40fa3c43d4a23a1a09c5fe96b9

• Evans SG, Clague JJ (1989) Rain-induced landslides in the Canadian Cordillera, July 1988. Geosci Can 16:193–200

  Google Scholar 

• Foothills Pipe Lines (South Yukon) Ltd. (1979) Environmental impact statement for the Alaska Highway gas pipeline

• Gislason P, Benediktsson J, Sveinsson J (2006) Random forests for land cover classification. Pattern Recogn Lett 27:294–300

  Article  Google Scholar 

• Gordey S, Makepeace AJ (2003) Yukon digital geology, version 2.0 Geological Survey of Canada, Ottawa, ON, open file 1749 and Yukon Geological Survey, Whitehorse, Yukon, open file 2003-9(D), 2 CD-ROMS

• Harris JR, Grunsky E, Behnia P, Corrigan D (2015) Data-and knowledge-driven mineral prospectivity maps for Canada’s North. Ore Geol Rev 71:788–803

  Article  Google Scholar 

• He H, Garcia EA (2009) Learning from imbalanced data. IEEE Trans Knowl Data Eng 21:1263–1284

  Article  Google Scholar 

• Heginbottom JA, Dubreuil MA, Harker PA (1995) Canada-permafrost. In: National atlas of Canada, 5th edn, National Atlas Information Service, Natural Resources Canada, Ottawa, MCR4177

• Hencher SR (1987) The implications of joints and structures for slope stability. In: Anderson MG, Richard KS (eds) Slope stability: geotechnical engineering and geomorphology. Wiley, Chichester, pp 145–186

  Google Scholar 

• Huscroft CA, Lipovsky PS, Bond JD (2004) A regional characterization of landslides in the Alaska Highway corridor, Yukon, Yukon Geological Survey Whitehorse, Yukon, open file rep. 2004-18

• Jakimow B, Oldenburg C, Rabe A, Waske B, van der Linden S, Hostert P (2015) Manual for application: imageRF (1.1)

• Koch J, Clague JJ, Blais-Stevens A (2014) Debris flow chronology and potential hazard along the Alaska Highway in Southwest Yukon Territory. Environ Eng Geosci 20(1):25–43

  Article  Google Scholar 

• Lipovsky PS (2005) Rapid landscape change and human response in the Arctic and sub-Arctic, an interdisciplinary conference, field guide, Yukon College, Whitehorse, Yukon, pp 43–101

• Louppe G, Wehenkel L, Sutera A, Geurts P (2013) Understanding variable importances in forests of randomized trees. In: Advances in neural information processing systems 26, 27th annual conference on neural information processing systems, 5–10 December 2013, Lake Tahoe, Nevada, pp 431–439

• Mathews WH (1986) Physiographic map of the Canadian Cordillera, Geological Survey of Canada, Ottawa, ON, 1:5 000 000 scale

• McKay G, Harris JR (2015) Comparison of the data-driven Random Forests model and a knowledge-driven method for mineral prospectivity mapping: a case study for gold deposits around the Huritz Group and Nueltin Suite, Nunavut, Canada. Nat Resour Res.https://doi.org/10.1007/s11053-015-9274-z

  Google Scholar 

• Micheletti N, Foresti L, Robert S, Leuenberger M, Pedrazzini A, Jaboyedoff M, Kanevski M (2014) Machine learning feature selection methods for landslide susceptibility mapping. Math Geosci 46:33–57.https://doi.org/10.1007/s11004-013-9511-0

  Article  Google Scholar 

• Pal M (2003) Random forests for land cover classification. In: Proceedings of the international geoscience and remote sensing symposium (IGARSS’03), vol 6, pp 3510–3512

• Petschko H, Brenning A, Bell R, Goetz J, Glade T (2014) Assessing the quality of landslide susceptibility maps—case study Lower Austria. Nat Hazards Earth Syst Sci 14:95–118.https://doi.org/10.5194/nhess-14-95-2014

  Article  Google Scholar 

• Polikar R (2006) Ensemble based systems in decision making. IEEE Circuits Syst Mag 6(3):21–45

  Article  Google Scholar 

• Rampton VN, Ellwood JR, Thomas RD (1983) Distribution and geology of ground ice along the Yukon portion of the Alaska Highway gas pipeline. In: Proceedings of fourth international conference on permafrost, vol 4, pp 1030–1035

• Rodriguez-Galiano VF, Chica-Olmo M, Chica-Rivas M (2014) Predictive modelling of gold potential with the integration of multisource information based on random forest: a case study on the Rodalquilar area, southern Spain. Int J Geogr Inf Sci 28(7):1336–1354.https://doi.org/10.1080/13658816.2014.885527

  Article  Google Scholar 

• Seitz G, Haeussler PJ, Crone AJ, Lipovsky PS, Schwartz DPS (2009) Eastern Denali fault slip rate and paleoseismic history, Kluane Lake Area, Yukon Territory, Canada. American Geophysical Union annual meeting, Poster, San Franscisco

• Smith SL, Lewkowicz AG, Ednie M, Duguay MA, Bevington A (2015) Characterization of permafrost thermal state in the southern Yukon. In: GEOQuébec 2015 (68th Canadian geotechnical conference and 7th Canadian conference on permafrost). Québec, paper 331

• Sørensen R, Zinko U, Seibert J (2006) On the calculation of the topographic wetness index: evaluation of different methods based on field observations. Hydrol Earth Syst Sci Discuss Eur Geosci Union 10(1):101–112

  Article  Google Scholar 

• Van Den Eeckhaut M, Reichenbach P, Guzzetti F, Rossi M, Poesen J (2009) Combined landslide inventory and susceptibility assessment based on different mapping units: an example from the Flemish Ardennes, Belgium. Nat Hazards Earth Syst Sci 9:507–521

  Article  Google Scholar 

• van Everdingen R (ed) (1998 revised January, 2005). Multi-language glossary of permafrost and related ground-ice terms. International Permafrost Association Terminology Working Group, Boulder, CO: National Snow and Ice Data Centre/World Data Centre for Glaciology

• Waske B, van der Linden S, Oldenburg C, Jakimow B, Rabe A, Hostert P (2012) imageRF—a user-oriented implementation for remote sensing image analysis with Random Forests. Environ Model Softw 35:192–193

  Article  Google Scholar 

• Youssef AM, Pourghasemi HR, Pourtaghi ZS, Al-Katheeri MM (2016) Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia. J Int Consort Landslides 13:839–856

  Article  Google Scholar 

• Yukon Geological Survey (2014) Yukon surficial geology map.http://www.geology.gov.yk.ca/digital_surficial_data.html. Accessed 28 Apr 2014

Download references