Below is the uncorrected machine-read text of this chapter, intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text of each book. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.
35 References Abdulwahid, W. M., & Pradhan, B. (2017). Landslide vulnerability and risk assessment for multi-hazard scenarios using airborne laser scanning data (LiDAR). Landslides, 14(3), 1057â1076. Abellan A., Oppikofer T., Jaboyedoff M., Rosser N., Lim M., Lato M. (2013). Terrestrial Laser Scanning of rock slope instabilities. Earth Surface Processes and Landforms; doi: 10.1002/esp.3493 Anderson, S. (2013). Remote Sensing Applications for Landslides, Slopes and Embankments. Geotechnical Special Publication. 2204â2223. Barendse, M. B. âField evaluation of a MEMS-based, real-time deformation monitoring system.â Geotechnical Instrumentation News (March 2008) pp. 41â44. Barla, M., & Antolini, F. (2016). An integrated methodology for landslidesâ early warning systems. Landslides, 13(2), 215â228. Bonì, R., Bordoni, M., Colombo, A., Lanteri, L., & Meisina, C. (2018). Landslide state of activity maps by combining multi-temporal A-DInSAR (LAMBDA). Remote Sensing of Environment, 217, 172â190. Bonneau, D.A. and Hutchinson, D.J. (2017). Applications of Remote Sensing for Characterizing Debris Channel Processes. Landslides: Putting Experience, Knowledge and Emerging Technologies into Practice. Proceedings of the 3rd North American Symposium on Landslides (Roanoke, USA, 4â8 June 2017). Pages 748â759. Bordoni, M., Bonì, R., Colombo, A., Lanteri, L., & Meisina, C. (2018). A methodology for ground motion area detection (GMA-D) using A-DInSAR time series in landslide investigations. Catena, 163, 89â110. Bouali, E. H., Oommen, T., & Escobar-Wolf, R. (2019). Evidence of Instability in Previously-Mapped Landslides as Measured Using GPS, Optical, and SAR Data between 2007 and 2017: A Case Study in the Portuguese Bend Landslide Complex, California. Remote Sensing, 11(8), 937. Bründl, M., H. E. Romang, N. Bischof, and C. M. Rheinberger (2009). âThe Risk Concept and its Application in Natural Hazard Risk Management in Switzerland.â Natural Hazards and Earth System Sciences, Vol. 9, No. 801. European Geosciences Union: Copernicus Publications, Göttingen, Germany, pp. 801â13. Cannon, R., Snider, F., Gagnon, J. H., Pate, K., and Ball, A. (2017). Use of LiDAR, Laser Scanning, Geologic Modeling for Landslide and Rockfall Assessments at Boundary Dam, Metaline, Washington, p. 985â994. In Landslides: putting experience, knowledge and emerging technologies into practice, Proceedings of the 3rd North American Symposium on Landslides. Cardenal, J., Mata, E., Perez-Garcia, J. L., Delgado, J., Andez, M., Gonzalez, A., & Diaz-de-Teran, J. R. (2008). Close range digital photogrammetry techniques applied to landslide monitoring. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 37(Part B8). Casagli, N., Frodella, W., Morelli, S., Tofani, V., Ciampalini, A., Intrieri, E., & Lu, P. (2017). Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning. Geoenvironmental Disasters, 4(1), 9. Coe, J. A., Ellis, W. L., Godt, J. W., Savage, W. Z., Savage, J. E., Michael, J. A., & Debray, S. (2003). Seasonal movement of the Slumgullion landslide determined from Global Positioning System surveys and field instrumentation, July 1998âMarch 2002. Engineering Geology, 68(1â2), 67â101. Colesanti, C., & Wasowski, J. (2006). Investigating landslides with space-borne Synthetic Aperture Radar (SAR) interferometry. Engineering Geology, 88(3â4), 173â199. Contreras, I. A., Grosser, A. T., and Ver Strate, R. H. (2008). The use of the fully-grouted method for piezometer installation. Geotechnical News, 26(2), pgs. 30â37. Corominas, J., Moya, J., Lloret, A., Gili, J. A., Angeli, M. G., Pasuto, A., & Silvano, S. (2000). Measurement of landslide displacements using a wire extensometer. Engineering Geology, 55(3), 149â166. Christiansen, C., Gauthier, D., & Oester N. (2016). 3D Monitoring of Rockfall Sources in Colorado. In Proceedings of the 67th Highway Geology Symposium, Colorado Springs, Colorado, 11â14 July 2016, pp. 431â445.
36 Advances in Unstable Slope Instrumentation and Monitoring Darrow, M.M., and Jensen, D.D. (2012). Evaluation of MEMS-based In-place Inclinometers in Cold Regions, Alaska University Transportation Center and Alaska Department of Transportation, FHWA-RD-AK-12-28. Dasenbrock, D. (2010). Automated Landslide and Instrumentation Programs on US Route 2, Proceedings of the University of Minnesota 58th Annual Geotechnical Engineering Conference, St. Paul, 26 February 2010, pp. 165â185. Delacourt, C. Allemand, P.; Berthier, E.; Raucoules, D.; Casson, B.; Grandjean, P.; and Varel, E. (2007). Remote- sensing techniques for analysing landslide kinematics: a review. Bulletin de la Société Géologique de France, 178(2), 89â100. Derron, M. H.; Jaboyedoff, M.; Pedrazzini, A.; Michoud, C.; and Villemin, T. (2013). Remote Sensing and Monitoring Techniques for the Characterization of Rock Mass Deformation and Change Detection. Rockfall Engineering, 39â65. Devoli, G.; Tiranti, D.; Cremonini, R.; Sund, M.; and Boje, S. (2018). Comparison of landslide forecasting services in Piedmont (Italy) and Norway, illustrated by events in late spring 2013, Nat. Hazards Earth Syst. Sci., 18, 1351â1372 Dixon, N.; Spriggs, M. P.; Smith, A.; Meldrum, P.; & Haslam, E. (2015). Quantification of reactivated land- slide behaviour using acoustic emission monitoring. Landslides, 12(3), 549â560. Dixon, N., Smith, A., Flint, J. A., Khanna, R., Clark, B., & Andjelkovic, M. (2018). An acoustic emission landslide early warning system for communities in low-income and middle-income countries. Landslides, 1â14. Dubois, P. C., Van Zyl, J., & Engman, T. (1995). Measuring soil moisture with imaging radars. IEEE Transactions on Geoscience and Remote Sensing, 33(4), 915â926. Farina, P., Rossi, G., Tanteri, L., Salvatici, T., Gigli, G., Moretti, S., and Casagli, N. (2017). The Use of Multi-Copter Drones for Landslide Investigations, p. 978â984. Farina, P., Casagli, N., & Ferretti, A. (2007, June). Radar-interpretation of InSAR measurements for landslide investigations in civil protection practices. In First North American Landslide Conference (pp. 272â283). Ferretti, A., Monti-Guarnieri, A., Prati, C., Rocca, F., & Massonet, D. (2007). InSAR principles-guidelines for SAR interferometry processing and interpretation (Vol. 19). Francioni, M.; Simone, M.; Stead, D.; Sciarra, N.; Mataloni, G.; Calamita, F. (2019). A New Fast and Low-Cost Photogrammetry Method for the Engineering Characterization of Rock Slopes. Remote Sens. 11, 1267. Francioni, M.; Salvini, R.; Stead, D.; Coggan, J. J. (2018). Improvements in the integration of remote sensing and rock slope modelling. Nat. Hazards, 90, 975â1004. Gauthier, D., Hutchinson, J., Lato, M., Edwards, T., Bunce, D., and Wood, D. F. (2015). On the precision, accuracy, and utility of oblique aerial photogrammetry (OAP) for rock slope monitoring and assessment. In Geo- Québec 2015: challenges from north to south: Proceedings of the 68th Canadian Geotechnical Conference and the 7th Canadian Permafrost Conference, Quebec City, 20â23 September 2015. Canadian Geotechnical Society, Richmond, BC. Gigli, G., Frodella, W., Garfagnoli, F., Morelli, S., Mugnai, F., Menna, F., Casagli, N. (2013). 3-D geomechanical rock mass characterization for the evaluation of rockslide susceptibility scenarios. Landslides, 1â10. Gili, J. A., Corominas, J., & Rius, J. (2000). Using Global Positioning System techniques in landslide monitoring. Engineering Geology, 55(3), 167â192. Gorsevski, P. V., Brown, M. K., Panter, K., Onasch, C. M., Simic, A., & Snyder, J. (2016). Landslide detection and susceptibility mapping using LiDAR and an artificial neural network approach: a case study in the Cuyahoga Valley National Park, Ohio. Landslides, 13(3), 467â484. Gumilar, I., Fattah, A., Abidin, H. Z., Sadarviana, V., Putri, N. S., & Kristianto. (2017, July). Landslide monitoring using terrestrial laser scanner and robotic total station in Rancabali, West Java (Indonesia). In AIP Conference Proceedings (Vol. 1857, No. 1, p. 060001). AIP Publishing. Gunn, D. A., Chambers, J. E., Uhlemann, S., Wilkinson, P. B., Meldrum, P. I., Dijkstra, T. A., Haslam, E., Kirkham, M., Wragg, J., Holyoake, S., Hughes, P. N., Hen-Jones, R., and Glendinning, S. (2015). Moisture monitoring in clay embankments using electrical resistivity tomography. Construction and Building Materials, 92, 82â94, https://doi.org/10.1016/j.conbuildmat.2014.06.007. Herrera, G.; Fernández, J. A.; Tomás, R.; Cooksley, G.; and Mulas, J. (2009). Advanced interpretation of subsidence in Murcia (SE Spain) using A-DInSAR dataâmodelling and validation. Natural Hazards & Earth System Sciences, 9(3). Honkavaara, E.; Arbiol, R.; Markelin, L.; Martinez, L.; Cramer, M.; Bovet, S.; Chandelier, L. (2009). âDigital airborne photogrammetryâA new tool for quantitative remote sensing? â A state-of-the-art review on radiometric aspects of digital photogrammetric images.â Remote Sensing 1, no. 3: 577â605. Hu, W.; Scaringi, G.; Xu, Q.; and Huang, R. (2018). Acoustic Emissions and Microseismicity in Granular Slopes Prior to Failure and Flow-Like Motion: The Potential for Early Warning. Geophysical Research Letters, 45(19), 10â406. Jaboyedoff, M.; Oppikofer, T., Abellán, A., Derron, M. H., Loye, A., Metzger, R., & Pedrazzini, A. (2012). Use of LIDAR in landslide investigations: a review. Natural Hazards, 61(1), 5â28.
References 37 James, M. R., and S. Robson (2012). Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application. Journal of Geophysical Research: Earth Surface 117.F3: 2003â2012. Jongmans, D., & Garambois, S. (2007). Geophysical investigation of landslides: a review. Bulletin de la Société Géologique de France, 178(2), 101â112. Komac, M., Holley, R., Mahapatra, P., van der Marel, H., & Bavec, M. (2015). Coupling of GPS/GNSS and radar interferometric data for a 3D surface displacement monitoring of landslides. Landslides, 12(2), 241â257. Kromer, R., Hutchinson, J., Lato, M., Gauthier, D. and Edwards, T. (2015). Early Warning of Rockfall Hazard from Remote Monitoring. Proceedings: GeoQuebec 2015, Quebec, QC, September 20â23, 2015 Kromer, R., Walton, G., Gray, B., Lato, M., & Group, R. (2019). Development and Optimization of an Automated Fixed-Location Time Lapse Photogrammetric Rock Slope Monitoring System. Remote Sensing, 11(1890): 1â18. https://doi.org/10.3390/rs11161890. Lapenna, V., Lorenzo, P., Perrone, A., Piscitelli, S., Rizzo, E., & Sdao, F. (2005). 2D electrical resistivity imaging of some complex landslides in Lucanian Apennine chain, southern Italy. Geophysics, 70(3), B11âB18. Lato, M., Porter, M. J., Mitchell, A., Hensold, G., Hutchinson, D. J., Kromer, R. A., McDougall, S., and Gaib, S. (2017). Mapping change with 3D data: advancing applications through research and development collaboration. In Landslides: putting experience, knowledge and emerging technologies into practice, proceedings of the 3rd North American Symposium on Landslides, Roanoke, Virginia, USA, 4â8 June 2017. Edited by J.V. De Graff and A. Shakoor. Association of Environmental and Engineering Geologists (AEG). pp. 83â90. Lato, M., P. Bobrowsky, N. Roberts, S. Bean, S. Powell, S. McDougall, M. A. Brideau, D. Stead, and D. VanDine. (2016). âSite investigation, analysis, monitoring and treatment.â Canadian technical guidelines and best practices related to landslides: A national initiative for loss reduction. Open File 299117. Ottawa: Natural Resources Canada. Lato, M. J., Gauthier, D., Hutchinson, D. J. and Edwards, T. (2014). Assessing the capability and limitations of ALS, TLS and terrestrial photogrammetry for mapping differential slope change in mountainous terrain. In GeoRegina 2014: Proceedings of the 67th Canadian Geotechnical Conference. Canadian Geotechnical Society, Richmond, B.C. Li, X., Cheng, X., Chen, W., Chen, G., & Liu, S. (2015). Identification of forested landslides using LiDAR data, object-based image analysis, and machine learning algorithms. Remote Sensing, 7(8), 9705â9726. Liu, Y., Dai, Z., Zhang, X., Peng, Z., Li, J., Ou, Z., & Liu, Y. (2010, November). Optical fiber sensors for landslide monitoring. In Semiconductor Lasers and Applications IV (Vol. 7844, p. 78440D). International Society for Optics and Photonics. Luo, S., Sarabandi, K., Tong, L., & Pierce, L. (2016, July). Landslide prediction using soil moisture estimation derived from polarimetric Radarsat-2 data and SRTM. In 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 5386â5389). IEEE. Luzi, G. (2010). Ground based SAR interferometry: a novel tool for Geoscience. In Geoscience and Remote Sensing New Achievements. IntechOpen. Machan, G., & Bennett, V. G. (2008). Use of inclinometers for geotechnical instrumentation on transportation projects: State of the practice. Transportation Research Circular (E-C129). MacPhail, A., Gauthier, D., and Hutchinson, D. J. (2018). Application of High-Speed Photogrammetry for Rock Cut Assessment. Proceedings 69th Highway Geology Symposium, Portland, Maine, USA. Sept 10â13, 2018. 23 pages. Malet, J. P., Maquaire, O., & Calais, E. (2002). The use of Global Positioning System techniques for the continuous monitoring of landslides: application to the Super-Sauze earthflow (Alpes-de-Haute-Provence, France). Geomorphology, 43(1â2), 33â54. Malone, A. (1997). Risk management and slope safety in Hong Kong. Transactions Hong Kong Institution of Engineers. 4. 12â21. Maurer, Hansruedi, Thomas Spillmann, Björn Heincke, Christian Hauck, Simon Loew, Sarah M. Springman, and Alan G. Green. âGeophysical characterization of slope instabilities.â First Break 28, no. 8 (2010). Meeks, C. T., Bonneau, D. A., Hutchinson, D. J., and Gauthier, D. (2017). The Use of unmanned aerial vehicles (UAVs) for slope stability assessment. GeoOttawa 2017, Ottawa, Oct 1â4, Paper Number 538. Méric, O., Garambois, S., Malet, J. P., Cadet, H., Gueguen, P., & Jongmans, D. (2007). Seismic noise-based methods for soft-rock landslide characterization. Bulletin de la Societe Geologique de France, 178(2), 137â148. Mora, O., Mallorqui, J. J., & Broquetas, A. (2003). Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images. IEEE Transactions on Geoscience and Remote Sensing, 41(10), 2243â2253. Morse, M. S., Lu, N., Godt, J. W., Revil, A., & Coe, J. A. (2012). Comparison of soil thickness in a zero-order basin in the Oregon coast range using a soil probe and electrical resistivity tomography. Journal of Geotechnical and Geoenvironmental Engineering, 138(12), 1470â1482.
38 Advances in Unstable Slope Instrumentation and Monitoring National Academies of Sciences (NAS), Engineering, and Medicine (2019). Geotechnical Asset Management for Transportation Agencies, Volume 2: Implementation Manual. Washington, DC: The National Academies Press. https://doi.org/10.17226/25364. New York State Department of Transportation (NYDOT) (2012). Field Evaluations of âShapeAccelArrayâ In-place MEMS Inclinometer Strings for Subsurface Deformation Monitoring. Report SPR# C-06-02. March. Newton, S., Zahradka, A., Ferris, G., and Porter, M. (2019). Use of a geohazard management program to reduce pipeline failure rates. Proceedings of the Conference on Asset Integrity Management-Pipeline Integrity Management Under Geohazard Conditions, AIM-PIMG2019-1045, 5 pages. Norwegian Geotechnical Institute (2019). SafeLand project website: https://www.ngi.no/eng/Projects/SafeLand. Accessed June 5, 2019. Norrish, N. I., Mikkelsen, P. E., Lowell, S. M., Badger, T. C. (2011). Slope Deformation Monitoring of Rock Excavations, Interstate 90, Snoqualmie Pass, Washington. Slope Stability 2011: International Symposium on Rock Slope Stability in Open Pit Mining and Civil Engineering. Notti, D., Calò, F., Cigna, F., Manunta, M., Herrera, G., Berti, M., & Zucca, F. (2015). A user-oriented methodology for DInSAR time series analysis and interpretation: Landslides and subsidence case studies. Pure and Applied Geophysics, 172(11), 3081â3105. Oppikofer, T., Jaboyedoff, M., Blikra, L., Derron, M.H., Metzger, R. (2009). Characterization and monitoring of the Aknes rockslide using terrestrial laser scanning. Natural Hazards and Earth System Sciences, 9, 1003â1019. Pedrazzini, A., Abellan, A., Oppikofer, T., Ambrosi, C., Spataro, A., & Jaboyedoff, M. (2010, May). Retrogressive landslide monitoring by TLS: precursory displacements and final collapse. Case study at Val Canaria (Ticino, Switzerland). In EGU General Assembly Conference Abstracts (Vol. 12, p. 12160). Pierson, L. A. 1991. The Rockfall Hazard Rating System. Oregon Department of Transportation, Salem, OR. Power, C., D. Patterson, D. Rudrum, D. Wright. (2012). âGeotechnical Asset Management for the UK Highways Agency.â In: Radford, T. A. (ed.). Earthworks in Europe. Geological Society, Engineering Geology Special Publication 26, London, United Kingdom. DOI: 10.1002/gj.2667. Power, C., J. Mian, T. Spink, S. Abbott, and M. Edwards. (2016). âDevelopment of an Evidence-Based Geotechnical Asset Management Policy for Network Rail, Great Britain.â Presented at Advances in Transportation Geotechnics 3: The 3rd International Conference on Transportation Geotechnics (ICTG 2016), Portugal. In: Procedia Engineering, Vol. 143, pp. 726â733. Pritchard, O., Bhreasail, A., Campbell, G., Carluccio, S., Willis, M., Codd, J. (2018). Practical remote survey applications for improved geotechnical asset management on Englandâs strategic road network. Rossi, G., Nocentini, M., Lombardi, L., Vannocci, P., Tanteri, L., Dotta, G., & Moretti, S. (2016). Integration of multicopter drone measurements and ground-based data for landslide monitoring. Landslides and engineered slopes. Experience, Theory and Practice, Associazione Geotecnica Italiana, Rome, 1745â1750. Rossi, G., Tanteri, L., Salvatici, T., & Casagli, N. (2017, June). The use of multi-copter drones for landslide inves- tigations. In 3rd North American Symposium on Landslides, Roanoke, VA(pp. 978â984). SafeLand Report. (2012). Living with landslide risk in Europe: Assessment, effects of global change, and risk management strategies. https://www.ngi.no/download/file/5957 Sertel, E., Kutoglu, S. H., & Kaya, S. (2007). Geometric correction accuracy of different satellite sensor images: application of figure condition. International Journal of Remote Sensing, 28(20), 4685â4692. Schulz, W. H. & Ellis, W. L. (2007). Preliminary Results of Subsurface Exploration and Monitoring at the Johnson Creek Landslide, Lincoln County, Oregon: U.S. Geological Survey Open-File Report 2007â1127. Smethurst, J.A., Smith, A., Uhlemann, S., Wooff, C., Chambers, J., Hughes, P., Lenart, S., Saroglou, H., Springman, S.M., Löfroth, H., Hughes, D. (2017). Current and future role of instrumentation and monitoring in the performance of transport infrastructure slopes. Quarterly Journal of Engineering Geology and Hydro- geology 50(3): 271â286. https://doi.org/10.1144/qjegh2016-080. Smith, K. W. (2015). Drone technology: Benefits, risks, and legal considerations. Seattle J. Envtl. L., 5, i. Solberg, I. L., Rønning, J. S., Dalsegg, E., Hansen, L., Rokoengen, K., & Sandven, R. (2008). Resistivity measure- ments as a tool for outlining quick-clay extent and valley-fill stratigraphy: a feasibility study from Buvika, central Norway. Canadian Geotechnical Journal, 45(2), 210â225 Sorensen, K., Simonsen, T. (2018). Performance of Vibrating Wire Piezometers in Very Low Permeable Clay. In 10th International Symposium on Field Measurements in Geomechanics, Brazil. Srinivasan S. and Schroeder, J. (2013). Landslide Stabilization along the Ohio River Using Cantilevered Stub Piers. Seventh International Conference on Case Histories in Geotechnical Engineering. Chicago. Stiros, S. C., Vichas, C., & Skourtis, C. (2004). Landslide monitoring based on geodetically derived distance changes. Journal of Surveying Engineering, 130(4), 156â162. Stucchi, E., Tognarelli, A., & Ribolini, A. (2017). SH-wave seismic reflection at a landslide (Patigno, NW Italy) integrated with P-wave. Journal of Applied Geophysics, 146, 188â197.
References 39 Stumpf, A. (2013). Landslide recognition and monitoring with remotely sensed data from passive optical sensors (Doctoral dissertation, Université de Strasbourg). Sturzenegger, M., & Stead, D. (2009). Quantifying discontinuity orientation and persistence on high mountain rock slopes and large landslides using terrestrial remote sensing techniques. Natural Hazards and Earth System Sciences, 9(2), 267â287. Tarchi, D., Casagli, N., Fanti, R., Leva, D. D., Luzi, G., Pasuto, A., Silvano, S. (2003). Landslide monitoring by using ground-based SAR interferometry: an example of application to the Tessina landslide in Italy. Engineering Geology, 68(1â2), 15â30. Tizzani, P., Berardino, P., Casu, F., Euillades, P., Manzo, M., Ricciardi, G. P., Zeni, G., & Lanari, R. (2007). Surface deformation of Long Valley caldera and Mono Basin, California, investigated with the SBAS-InSAR approach. Remote Sensing of Environment, 108(3), 277â289. Tofani, V., Segoni, S., Agostini, A., Catani, F., & Casagli, N. (2013). Use of remote sensing for landslide studies in Europe. Natural Hazards and Earth System Sciences, 13(2), 299â309. U.S. Department of Transportation (USDOT), Federal Highway Administration (2008). Ground-Based LiDAR Rock Slope Mapping and Assessment. Publication No. FHWA-CFL/TD-08-006. U.S. DOT (2006). InSAR Applications for Highway Transportation Projects. Central Federal Lands Highway Division. Publication No. FHWA-CFL/TD-06-002, 101 pages. Van Den Eeckhaut, M., J. Poesen, G. Verstraeten, V. Vanacker, J. Nyssen, J. Moeyersons, L. P. H. van Beek, and L. Vandekerckhove. (2007). âUse of LIDAR-derived images for mapping old landslides under forest.â Earth Surf. Process. Landforms 32 (5): 754â769. https://doi.org/10.1002/esp.1417. van Veen, M., Hutchinson, D.J., Lato, M., Kromer, R. (2017). The role of survey design in developing rock fall frequency-magnitude relationships using terrestrial laser scanning: a case study from the CN Railway at White Canyon, BC. In 3rd North American Symposium on Landslides, A.S. Jerome V. De Graff, Editor. 2017, AEG: Roanoke, Virginia USA. Wang, S., Malehmir, A., & Bastani, M. (2016). Geophysical characterization of areas prone to quick-clay landslides using radio-magnetotelluric and seismic methods. Tectonophysics, 677, 248â260. Watts, C. F., Keaton, J. R., Planning and Executing Autonomous UAS Missions for Capturing and Extracting Geologic Data. In 3rd North American Symposium on Landslides, A.S. Jerome V. De Graff, Editor. (2017), AEG: Roanoke, Virginia USA. Western Transportation Institute (WTI) (2017). Unstable Slope Management Program for Federal Land Management AgenciesâDRAFT MANUAL. Federal Highway Administration, FHWA-FLH-18-00x, December. Westoby, M. J., Brasington, J., Glasser, N. F., Hambrey, M. J., & Reynolds, J. M. (2012). âStructure-from- Motionâ photogrammetry: A low-cost, effective tool for geoscience applications. Geomorphology, 179: 300â314 Whiteley, J. S., Chambers, J. E., Uhlemann, S., Wilkinson, P. B., & Kendall, J. M. (2019). Geophysical Monitoring of Moisture-Induced Landslides: A Review. Reviews of Geophysics. Widhalm, B., Bartsch, A., Leibman, M., & Khomutov, A. (2017). Active-layer thickness estimation from X-band SAR backscatter intensity. The Cryosphere, 11(1), 483â496. Wolf, R., Bouali, E., Oommen, T., Dobson, R., Vitton, S., Brooks, C., Lautala, P. (2015). Sustainable Geotechnical Asset Management along the Transportation Infrastructure Environment Using Remote Sensing. Michigan Technological University. USDOT Cooperative Agreement No. RITARS-14-H-MTU. Yamazaki, T., Hattori, K., Kaneda, H., Sakai, H., Izumi, Y., & Terajima, T. (2017). Development of Monitoring System to Understand Preparation Processes of Rainfall-Induced Landslides Estimation of Slip Surface and In Situ Observation Using Electromagnetic Methods. Electronics and Communications in Japan, 100(10), 3â11. Young, A. P., Olsen, M., Driscoll, N., Flick, R. (2010). Comparison of Airborne and Terrestrial LiDAR Estimates of Seacliff Erosion. In Photogrammetric Engineering & Remote Sensing, 76, 421â427. Zhu, Z. W., Liu, D. Y., Yuan, Q. Y., Liu, B., & Liu, J. C. (2011). A novel distributed optic fiber transducer for landslides monitoring. Optics and Lasers in Engineering, 49(7), 1019â1024. Zhu, H. H., Shi, B., & Zhang, C. C. (2017). FBG-Based Monitoring of Geohazards: Current Status and Trends. Sensors (Basel, Switzerland), 17(3), 452. Zhu, Z. W., Liu, D. Y., Yuan, Q. Y., Liu, B., & Liu, J. C. (2011). A novel distributed optic fiber transducer for landslides monitoring. Optics and Lasers in Engineering, 49(7), 1019â1024. Zitova, B., & Flusser, J. (2003). Image registration methods: a survey. Image and Vision Computing, 21(11), 977â1000.