Technical Papers
Dec 2, 2016

Reconnaissance of Two Liquefaction Sites Using Small Unmanned Aerial Vehicles and Structure from Motion Computer Vision Following the April 1, 2014 Chile Earthquake

Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 143, Issue 5

Abstract

Small unmanned aerial vehicles (sUAVs) were used to reconnoiter, image, and model the effects of soil liquefaction at two separate sites following the M8.2 and M7.6 earthquakes near Iquique, Chile, on April 1 and 2, 2014, respectively. Geotechnical investigators performed conventional observations/measurements at the two sites using traditional reconnaissance methods, and virtual observations/measurements using sUAV-based remote sensing and structure from motion (SfM) computer vision. Two types of sUAV platform/sensor combinations were evaluated for this study. Comparisons between the traditional and sUAV-based reconnaissance methods were performed and observations are discussed. The sUAV-based point cloud models of the sites were between 770 and 2,600 points per square meter depending on the camera that was used, with average model dimensional error ranging from ±1.0 to ±3.5%. Lateral spread displacement measurements from the UAV-based three-dimensional models were generally within 9 cm of the lateral spread displacements measured in the field, and measured vertical deformations from the models generally agreed well with the deformations reported by previous investigators. This study demonstrates that sUAVs can be useful instruments for post-disaster geotechnical surficial site reconnaissance.

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Acknowledgments

Funding for this study was provided in part by the National Science Foundation (NSF) Industry/University Cooperative Research Center for Unmanned Aircraft Systems (C-UAS) through Project No. BYU13-03; the Geotechnical Extreme Events Reconnaissance (GEER), which is funded through the NSF Geotechnical Engineering Program under Grant No. CMMI-1266418; and NSF Grant No. CMMI-1235526. C. Ledezma was funded by the Chilean Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT) under Grant No. 11110125. This support is gratefully acknowledged. However, the views and opinions expressed do not necessarily represent those of the NSF, C-UAS, GEER, or FONDECYT. The authors also gratefully acknowledge the assistance of their fellow GEER researchers that helped investigate and document the geotechnical damage from the April 1 Iquique earthquake, particularly Professors Gonzalo Montalva (Universidad de Concepción) and Esteban Sáez (Pontificia Universidad Católica de Chile).

References

Agisoft. (2014). “Agisoft photoscan user manual: Professional edition.” ⟨http://www.agisoft.com/pdf/photoscan-pro_1_1_en.pdf⟩ (Jun. 2, 2015).
Andrus, R. D., and Stokoe, K. H., II (2000). “Liquefaction resistance of soils from shear-wave velocity.” J. Geotech. Geoenviron. Eng., 1015–1025.
Bardet, J. P., Tobita, T., Mace, N., and Hu, J. (2002). “Regional modeling of liquefaction-induced ground deformation.” Earthquake Spectra, 18(1), 19–46.
Barrientos, S. (2014). “Informe técnico terremoto de Iquique, Mw=8.2, 1 de Abril de 2014.” ⟨http://www.sismologia.cl/⟩ (Jan. 15, 2016).
Bartlett, S. F., and Youd, T. L. (1995). “Empirical prediction of liquefaction-induced lateral spread.” J. Geotech Eng., 316–329.
Bemis, S. P., et al. (2014). “Ground-based and UAV-based photogrammetry: A multi-scale, high-resolution mapping tool for structural geology and paleoseismology.” J. Struct. Geol., 69(A), 163–178.
Besl, P. and McKay, N. (1992). “A method for registration of 3-D shapes.” IEEE Trans. Pattern Anal. Mach. Intell., 14(2), 239–256.
Boulanger, R. W., Wilson, D. W., and Idriss, I. M. (2012). “Examination and reevaluation of SPT-based liquefaction triggering case histories.” J. Geotech. Geoenviron. Eng., 898–909.
Brodsky, E. E., and Lay, T. (2014). “Recognizing foreshocks from the 1 April 2014 Chile earthquake.” Science, 344(6185), 700–702.
Cetin, K. O., et al. (2004). “SPT-based probabilistic and deterministic assessment of seismic soil liquefaction potential.” J. Geotech. Geoenviron. Eng., 1314–1340.
Cetin, K. O., Bilge, H. T., Wu, J., Kammerer, A. M., and Seed, R. B. (2009). “Probabilistic model for the assessment of cyclically induced reconsolidation (volumetric) settlements.” J. Geotech. Geoenviron. Eng., 387–398.
CloudCompare version 2.4 [Computer software]. CloudCompare, Provo, UT.
Coifman, B., McCord, M., Mishalani, R. G., et al. (2006). “Roadway traffic monitoring from an unmanned aerial vehicle.” IEEE Proc., Int. Transp. Syst., 153(1), 11–20.
Contreras-Reyes, E., Jara, J., Grevemeyer, I., Ruiz, S., and Carrizo, D. (2012). “Abrupt change in the dip of the subducting plate beneath north Chile.” Nat. Geosci., 5(5), 342–345.
de Albuquerque Nóbrega, R. A., Aanstoos, J., Gokaraju, B., Mahrooghy, M., Dabirru, L., and O’Hara, C. G. (2013). “Mapping weaknesses in the Mississippi River levee system using multi-temporal UAVSAR data.” Revista Brasileira do Cartografia, 65(4), 681–694.
Dobson, R. J., Brooks, C., Roussi, C., and Colling, T. (2013). “Developing an unpaved road assessment system for practical deployment with high-resolution optical data collection using a helicopter UAV.” Proc., 2013 Int. Conf. Unmanned Aircraft System, ICUAS Association, Denver, 235–243.
Gong, J. H., et al. (2010). “Earthquake-induced geological hazard detection under hierarchical stripping classification framework in the Beichuan area.” Landslides, 7(2), 181–189.
Hausamann, D., Zirnig, W., Schreier, G., and Strobl, P. (2005). “Monitoring of gas pipelines–Acivil UAV application.” Aircr. Eng. Aerosp. Technol., 77(5), 352–360.
Hayes, G. (2014). “Updated finite fault results for the Apr. 1, 2014 Mw 8.2 99 km NW of Iquique, Chile earthquake (Version 2).” ⟨http://earthquake.usgs.gov/archive/product/finite-fault/usc000nzvd/us/1397258114263/c000nzvd.html⟩ (Jun. 1, 2015).
Hu, J. P., Wu, W. B., and Tan, Q. L. (2012). “Application of unmanned aerial vehicle remote sensing for geological disaster reconnaissance along transportation lines: A case study.” Appl. Mech. Mater., 226, 2376–2379.
Huyck, C., Matsuoka, M., Takahashi, Y., and Vu, T. (2006). “Reconnaissance technologies used after the 2004 Niigata-ken Chuetsu, Japan, earthquake.” Earthquake Spectra, 22(S1), 133–145.
Imakiire, T., and Koarai, M. (2012). “Wide-area land subsidence caused by the 2011 off the Pacific Coast of Tohoku earthquake.” Soils Found., 52(5), 842–855.
I-Site Studio version 5.1 [Computer Software]. Maptek, Inc., Denver.
Juang, C. H., Ching, J., Wang, L., Khoshnevisan, S., and Ku, C.-S. (2013). “Simplified procedure for estimation of liquefaction-induced settlement and site-specific probabilistic settlement exceedance curve using cone penetration test (CPT).” Can. Geotech. J. Ottawa., 50(10), 1055–1066.
Kayen, R. E., and Mitchell, J. K. (1997). “Assessment of liquefaction potential during earthquakes by Arias intensity.” J. Geotech. Geoenviron. Eng., 1162–1174.
Kayen, R. E., Pack, R., Bay, J., Sugimoto, S., and Tanaka, H. (2006). “Ground-LIDAR visualization of surface and structural deformation of the Niigata Ken Chuetsu, 23 October 2004, earthquake.” Earthquake Spectra, 22(S1), 147–162.
Konagai, K., Kiyota, T., Suyama, S., Asakura, T., Shibuya, K., and Eto, C. (2013). “Maps of soil subsidence for Tokyo bay shore areas liquefied in the March 11th, 2011 off the Pacific Coast of Tohoku earthquake.” Soil Dyn. Earthquake Eng., 53, 240–253.
Lucieer, A., de Jong, S. M., and Turner, D. (2014). “Mapping landslide displacements using structure from motion (SfM) and image correlations of multi-temporal UAV photography.” Prog. Phys. Geogr., 38(1), 97–116.
Mancini, F., Dubbini, M., Gattelli, M., Stecchi, F., Fabbri, S., and Gabbianelli, G. (2013). “Using unmanned aerial vehicles (UAV) for high-resolution reconstruction of topography: The structure from motion approach on coastal environments.” Remote Sens., 5(12), 6880–6898.
Marr, D., and Nishihara, H. K. (1978). “Representation and recognition of the spatial organization of three-dimensional shapes.” Proc., Royal Soc. London B, 200(1140), 269–294.
Memento Beta [Computer Software]. Autodesk, Inc., San Rafael, CA.
Metni, N. and Hamel, T. (2007). “A UAV for bridge inspection: Visual serving control law with orientation limits.” Automat. Construct., 17(1), 3–10.
Moss, R. E., et al. (2006). “CPT-based probabilistic and deterministic assessment of in situ seismic soil liquefaction potential.” J. Geotech. Geoenviron. Eng., 1032–1051.
Niethammer, U., James, M. R., Rothmund, S., Travelletti, J., and Joswig, M. (2012). “UAV-based remote sensing of the Super-Sauze landslide: Evaluation and results.” Eng. Geol., 128(SI), 2–11.
Olsen, M. J., et al. (2012). “Damage assessment of the 2010 Chile earthquake and tsunami using terrestrial laser scanning.” Earthquake Spectra, 28(S1), S179–S197.
Oommen, T., Baise, L. G., Gens, R., Prakash, A., and Gupta, R. P. (2013). “Documenting earthquake-induced liquefaction using satellite remote sensing image transformations.” Env. Eng. Geosci., 19(4), 303–318.
PhotoScan 1.1.6 [Computer Software], St. Petersburg, Russia, Agisoft, LLC.
Ramakrishnan, D. (2014). “Spectral discrimination of recent sediments round Bhuj, India, using Landsat-TM data and assessment of their vulnerability to seismicity-related failures.” Nat. Hazards, 70(1), 485–499.
Ramakrishnan, D., Mohanty, K. K., and Nayak, S. R. (2006). “Mapping the liquefaction induced soil moisture changes using remote sensing technique: an attempt to map the earthquake induced liquefaction around Bhuj, Gujarat, India.” Geotech. Geol. Eng., 24(6), 1581–1602.
Rathinam, S., Kim, Z. W., and Sengupta, R. (2008). “Vision-based monitoring of locally linear structures using an unmanned aerial vehicle.” J. Infrastruct. Syst., 52–63.
Rathje, E. M., and Adams, B. J. (2008). “The role of remote sensing in earthquake science and engineering: Opportunities and challenges.” Earthquake Spectra, 24(2), 471–492.
Rathje, E. M., Kayen, R., and Woo, K. S. (2006). “Remote sensing observations of landslides and ground deformation from the 2004 Niigata Ken Chuetsu earthquake.” Soils Found., 46(6), 831–842.
Robertson, P. K., and Wride, C. E. (1998). “Evaluating cyclic liquefaction potential using the cone penetration test.” Can. Geotech. J., 35(3), 442–459.
Rollins, K., Ledezma, C., and Montalva, G., eds. (2014). “Geotechnical aspects of April 1, 2014, M8.2 Iquique, Chile Earthquake.” ⟨http://www.geerassociation.org/⟩ (Jan. 15, 2016).
Ruggles, S., et al. (2016). Comparison of SfM computer vision point clouds of a landslide derived from multiple small UAV platforms and sensors compared to a TLS-based model, NRC Research Press, Ottawa.
Seed, H. B., Tokimatsu, K., Harder, L. F. Jr., and Chung, R. (1985). “Influence of SPT procedures in soil liquefaction resistance evaluations.” J. Geotech. Eng., 1425–1445.
Siebert, S., and Teizer, J. (2014). “Mobile 3D mapping for surveying earthwork projects using an unmanned aerial vehicle (UAV) system.” Automat. Constr., 41, 1–14.
Snavely, N., Seitz, S. M., and Szeliski, R. (2008). “Modeling the world from internet photo collections.” Inter. J. Comp. Vision, 80(2), 189–210.
Stefanik, K. V., Gassaway, J. C., Kochersberger, K., and Abbott, A. L. (2011). “UAV-based stereo vision for rapid aerial terrain mapping.” Giscience Remote Sens., 48(1), 24–49.
Stumpf, A., Malet, J. P., Kerle, N., Niethammer, U., and Rothmund, S. (2013). “Image-based mapping of surface fissures for the investigation of landslide dynamics.” Geomorphology, 186, 12–27.
Tang, C., Zhu, J., Qi, X., and Ding, J. (2011). “Landslides induced by the Wenchuan earthquake and the subsequent strong rainfall event: A case study in the Beichuan area of China.” Eng. Geol., 122(1–2), 22–33.
Turner, D., Lucieer, A., and de Jong, S. M. (2015). “Time series analysis of landslide dynamics using an unmanned aerial vehicle.” Rem. Sens., 7(2), 1736–1757.
Wu, C. (2014). “Critical configurations for radial distortion self-calibration.” Proc., Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conf., IEEE, New York, 25–32.
Xu, C., Xu, X. W., Yao, W., and Dai, F. C. (2014). “Three (nearly) complete inventories of landslides triggered by the May 12, 2008, Wenchuan Mw 7.9 earthquake of China and their spatial distribution statistical analysis.” Landslides, 11(3), 441–461.
Xu, Z. Q., et al. (2014). “Development of an UAS for post-earthquake disaster surveying and its application in Ms7.0 Lushan Earthquake, Sichuan, China.” Comput. Geosci., 68, 22–30.
Youd, T. L., Hansen, C. M., and Bartlett, S. F. (2002). “Revised multilinear regression equations for prediction of lateral spread displacement.” J. Geotech. Geoenviron. Eng., 1007–1017.
Zhang, C. S., and Elaksher, A. (2012). “An unmanned aerial vehicle-based imaging system for 3D measurement of unpaved road surface distresses.” Comput. Aided Civ. Infrastruct. Eng., 27(2), 118–129.
Zhang, X., Glennie, C., and Kusari, A. (2015). “Change detection from differential airborne LiDAR using a weighted anisotropic iterative closest point algorithm.” IEEE J. Selected Topics Appl. Earth Obs. Remote Sensing 2015, 8(7), 1–9.
Zhou, H. L., Kong, H., Wei, L., Creighton, D., and Nahavandi, S. (2015). “Efficient road detection and tracking for unmanned aerial vehicle.” IEEE Trans. Intell. Transp. Syst., 16(1), 297–309.

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Go to Journal of Geotechnical and Geoenvironmental Engineering
Journal of Geotechnical and Geoenvironmental Engineering
Volume 143Issue 5May 2017

History

Received: Apr 4, 2016
Accepted: Sep 14, 2016
Published online: Dec 2, 2016
Published in print: May 1, 2017
Discussion open until: May 2, 2017

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Authors

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Kevin W. Franke, M.ASCE [email protected]
Assistant Professor, Civil and Environmental Engineering, Brigham Young Univ., Provo, UT 84602 (corresponding author). E-mail: [email protected]
Kyle M. Rollins, M.ASCE
Professor, Civil and Environmental Engineering, Brigham Young Univ., Provo, UT 84602.
Christian Ledezma, M.ASCE
Assistant Professor, Pontificia Universidad Católica de Chile, Center for Integrated Natural Disaster Management CONICYT/FONDAP/15110017, Vicuña Mackenna 4860, Macul, Santiago 7820436, Chile.
John D. Hedengren
Assistant Professor, Chemical Engineering, Brigham Young Univ., Provo, UT 84602.
Derek Wolfe, S.M.ASCE
Graduate Researcher, Civil and Environmental Engineering, Brigham Young Univ., Provo, UT 84602.
Samantha Ruggles, S.M.ASCE
Graduate Researcher, Civil and Environmental Engineering, Brigham Young Univ., Provo, UT 84602.
Christopher Bender, S.M.ASCE
Undergraduate Researcher, Civil and Environmental Engineering, Brigham Young Univ., Provo, UT 84602.
Brandon Reimschiissel
Undergraduate Researcher, Electrical and Computer Engineering, Brigham Young Univ., Provo, UT 84602.

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