ABSTRACT

The occurrence or reactivation and acceleration of landslides can occur unannounced and can result in significant impacts to life, property, or the environment. The processes of slope deformation and progressive failure are more active than many realize; rapid slope failures are often preceded by years of erosion, deformation, and smaller failures. In the last 10 years, the use of lidar-derived elevation models has supported the identification of landslides across large regions and is increasing the ability of geoprofessionals to identify precursory signs of failures. During the same time period, advanced computational techniques to numerically compare multiple bare-earth lidar point cloud datasets, known as lidar change detection (LCD), coupled with the development of automated workflows, have resulted in the ability to conduct LCD rapidly across large areas. This paper demonstrates how regional LCD can provide a more complete understanding of landslide hazards and better management of risk. The paper also presents preliminary tests of applying image segmentation techniques to support LCD analysis.

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REFERENCES

Amatya, P., Scheip, C., Déprez, A., Malet, J. P., Slaughter, S. L., Handwerger, A. L., and Boissier, E. 2023. Tanyas et al. 2022. Learnings from rapid response efforts to remotely detect landslides triggered by the August 2021 Nippes earthquake and Tropical Storm Grace in Haiti. Natural Hazards, 1–39.
ASPRS (American Society of Photogrammetry and Remote Sensing). 2019. LAS Specification Version 1.4-R15. URL: https://www.asprs.org/wp-content/uploads/2019/07/LAS_1_4_r15.pdf.
Bernard, T. G., Lague, D., and Steer, P. 2021. Beyond 2D landslide inventories and their rollover: synoptic 3D inventories and volume from repeat lidar data. Earth Surface Dynamics, 9(4), 1013–1044.
Besl, P. J., and McKay, N. D. 1992, April. Method for registration of 3-D shapes. In Sensor fusion IV: control paradigms and data structures (Vol. 1611, pp. 586–606).
Burns, W., and Madin, I. 2009. Special Paper 42: Protocol for Inventory Mapping of Landslide Deposits from Light Detection and Ranging (lidar) imagery. Oregon Department of Geology and Mineral Industries (DOGAMI). Retrieved from https://www.oregongeology.org/pubs/sp/p-SP-42.htm.
Carter, M. 2016. This must never happen again: Oso landslide survivors reach settlements totaling $60M. Seattle Times. Published October 10, 2016 at 10:25 am.
Cruden, D. M. and Varnes D. J. 1996. Landslide types and processes. In: Turner and Schuster (eds) Landslides, investigation and mitigation, Special Report 247, Transportation Research Board, National Research Council. National Academy Press, Washington, USA, 3:36–75.
Gleason, A. and Markert, J. 2020. Washington State Lidar Plan. Washington State Office of the Chief Information Officer and the Washington State Department of Natural Resources, Washington Geological Survey.
Gleason, A. 2016. The New LiDAR Program at DNR: Collection, Analysis, and Dissemination. GIS Day Presentation, Washington department of Natural Resources, Division of Geology and Earth Resources. November 16, 2016. Accessed 2022-10-24 at https://www.dnr.wa.gov/publications/ger_presentations_wa_gis_day_2016_gleason.pdf.
Guzzetti, F., Mondini, A. C., Cardinali, M., Fiorucci, F., Santangelo, M., and Chang, K.-T. 2012. Landslide inventory maps: New tools for an old problem. Earth-Science Reviews 112, 42–66. https://doi.org/10.1016/j.earscirev.2012.02.001.
Jaboyedoff, M., Oppikofer, T., Abellán, A., Derron, M. H., Loye, A., Metzger, R., and Pedrazzini, A. 2012. Use of LIDAR in landslide investigations: a review. Natural hazards, 61(1), 5–28.
Kadri, M. 2015. “Landslide takes a toll on state’s economy.” Herald Net, Everett Washington. https://www.heraldnet.com/opinion/landslides-take-a-toll-on-states-economy/.
Kirillov, A., et al. 2023. Segment anything. arXiv preprint arXiv:2304.02643.
Kromer, R. A., Abellán, A., Hutchinson, D. J., Lato, M., Chanut, M. A., Dubois, L., and Jaboyedoff, M. 2017. “Automated terrestrial laser scanning with near-real-time change detection-monitoring of the Séchilienne landslide.” Earth Surface Dynamics, 5(2).
LaHusen, S. R., Duvall, A. R., Booth, A. M., and Montgomery, D. R. 2016. Surface roughness dating of long-runout landslides near Oso, Washington (USA), reveals persistent postglacial hillslope instability. Geology, 44(2), 111–114.
Lato, M. J., Anderson, S., and Porter, M. J. 2019. Reducing landslide risk using airborne Lidar scanning data. Journal of Geotechnical and Geoenvironmental Engineering, 145(9), 06019004.
Lato, M., and Ferrier, A. 2022. Systems and methods for evaluating changes in terrain topography over time,. Washington, DC: U.S. Patent and Trademark Office.
Mickelson, K. A., Jacobacci, K. E., Contreras, T. A., Gallin, W., Slaughter, S. L. 2018. Landslide inventory and susceptibility of the Columbia Gorge in Clark, Skamania, and Klickitat Counties, Washington: Washington Geological Survey Report of Investigation 40, 11 p. text, with 2 accompanying ESRI file geodatabases.
Mickelson, K. A., Jacobacci, K. E., Contreras, T. A., Gallin, W. N., and Slaughter, S. L. 2019. Landslide inventory of western King County, Washington: Washington Geological Survey Report of Investigations 41, 7 p. text, with an accompanying Esri file geodatabase. [https://fortress.wa.gov/dnr/geologydata/publications/ger_ri41_western_king_county_landslide_inventory.zip].
Mickelson, K. A., Contreras, T. A., Gallin, W. N., Jacobacci, K. E., and Slaughter, S. L. 2020. Landslide inventory of western Whatcom County, Washington: Washington Geological Survey Report of Investigations 42, 7 p. text, with an accompanying Esri file geodatabase. [https://fortress.wa.gov/dnr/geologydata/publications/ger_ri42_western_whatcom_county_landslide_inventory.zip].
Mickelson, K. A., Contreras, T. A., Allen, M. D., Jacobacci, K. E., Richard, E. M., Gallin, W. N., Fisher, K., and Legoretta Paulín, G. 2022. Landslide inventory of portions of Snohomish County, Washington: Washington Geological Survey Report of Investigations 43, 7 p. [https://fortress.wa.gov/dnr/geologydata/publications/ger_ri43_snohomish_county_landslide_inventory.pdf].
Porter, M. 2021. Conceptual Markov models for estimating velocity transition probabilities for landslides in the Western Canada Sedimentary Basin, GeoNiagara, September 26-29, 2021.
Porter, M., Quinn, P., and Barlow, P. 2022. Conceptual landslide velocity transition models for a range of landslide behaviour types. Georisques VIII – Proceedings of the 8th Canadian Geohazards Conference, Canadian Geotechnical Society, Quebec City, Quebec, Canada.
Roberti, G., Ward, B., de Vries, B. V. W., Friele, P., Perotti, L., Clague, J. J., and Giardino, M. 2018. “Precursory slope distress prior to the 2010 Mount Meager landslide, British Columbia.” Landslides. 15(4), 637–647.
Tanyaş, H., Görüm, T., Fadel, I., Yıldırım, C., and Lombardo, L. 2022. An open dataset for landslides triggered by the 2016 Mw 7.8 Kaikōura earthquake, New Zealand. Landslides, 19(6), 1405–1420.
van Veen, M., Funk, A., Fish, C., and Porter, M. 2022. A Landslide Velocity Database for the Site C Reservoir in Northeastern British Columbia. In Proceedings of 2022 Canadian Geotechnical Conference. October 2-5, 2022. Calgary, Alberta.
van Veen, M., Lato, M., Hove, J., Hunchuck, G., Babcock, J., and Bracic, J. 2017. The use of airborne LiDAR in understanding ground hazards for large pipeline networks, in: Proceedings of GeoOttawa 2017, the 70th Canadian Geotechnical Conference. Presented at the GeoOttawa 2017, Canadian Geotechnical Society, Ottawa, ON.
van Veen, M., Mitchell, A., Porter, M, and Lato, M. 2022. “Practical considerations for monitoring landslides on critical slopes” Geohazards 8, Quebec City, QC.
Walton, G., Malsam, A., Oester Mapes, N., and Arpin, B. 2023. Forecasting and Mitigating Rockfall based on Lidar Monitoring: A Case Study from Colorado. Transportation Research Record 03611981231169530. https://doi.org/10.1177/03611981231169530.
Wartman, J., Montgomery, D. R., Anderson, S. A., Keaton, J. R., Benoît, J., dela Chapelle, J., and Gilbert, R. 2016. The 22 March 2014 Oso landslide, Washington, USA. Geomorphology, 253, 275–288.
Washington State DOT and Snohomish County Public Works. 2015. “SR 530 landslide emergency response and repair.”.
Weidner, L., Ferrier, A., van Veen, M., and Lato, M. J. 2022. Rapid 4D change detection processing using ICP alignment and GPU-based M3C2 algorithms. In Preparation for submission to the Canadian Geotechnical Journal.
Winiwarter, L., Anders, K., and Höfle, B. 2021. M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation. ISPRS Journal of Photogrammetry and Remote Sensing 178, 240–258. https://doi.org/10.1016/j.isprsjprs.2021.06.011.

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Published online: Feb 22, 2024

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Matthew Lato, Ph.D, P.Eng. [email protected]
1BGC Engineering, Inc., Ottawa, ON, Canada. Email: [email protected]
Megan van Veen, P.Eng. [email protected]
2BGC Engineering, Inc., Ottawa, ON, Canada. Email: [email protected]
Luke Weidner, Ph.D. [email protected]
3BGC Engineering, Inc., Golden, CO. Email: [email protected]
Alex Graham [email protected]
4BGC Engineering, Inc., Vancouver, BC, Canada. Email: [email protected]
Vicky Hsiao [email protected]
5BGC Engineering, Inc., Vancouver, BC, Canada. Email: [email protected]
Corey Scheip, Ph.D.,, P.G. [email protected]
6BGC Engineering, Inc., Saluda, NC. Email: [email protected]
Julia Frazier, P.G. [email protected]
7BGC Engineering, Inc., Golden, CO. Email: [email protected]
Michael Porter, P.Eng. [email protected]
8BGC Engineering, Inc., Vancouver, BC, Canada. Email: [email protected]
Scott Anderson, Ph.D., P.E. [email protected]
9BGC Engineering, Inc., Golden, CO. Email: [email protected]

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