References
- Abellán, A., et al., 2014. Terrestrial laser scanning of rock slope instabilities. Earth surface processes and landforms, 39 (1), 80–97. doi: 10.1002/esp.3493
- Barbarella, M., Fiani, M., and Lugli, A., 2015. Multi-temporal terrestrial laser scanning survey of a landslide. In: M. Scaioni, ed. Modern technologies for landslide monitoring and prediction. Berlin: Springer, 89–121.
- Baum, R.L., Coe, J.A., and Savage, W.Z., 2007. The Slumgullion landslide, Hinsdale County, Colorado. 1st, North American landslide conference. Vail, CO, 1–26.
- Besl, P., and McKay, N., 1992. A method for registration of 3-D shapes. IEEE transactions on pattern analysis and machine intelligence, 14 (2), 239–256. doi: 10.1109/34.121791
- Cao, N., et al., 2017. Airborne DInSAR results using time-domain backprojection algorithm: a case study over the Slumgullion landslide in Colorado. Journal of selected topics in applied earth observations and remote sensing, 10 (11), 4987–5000. doi: 10.1109/JSTARS.2017.2737362
- Conner, J.C., and Olsen, M.J., 2014. Automated quantification of distributed landslide movement using circular tree trunks extracted from terrestrial laser scan data. Computers & geosciences, 67, 31–39. doi: 10.1016/j.cageo.2014.02.007
- Crandell, D.R., and Varnes, D.J., 1961. Movement of the Slumgullion earthflow near Lake City, Colorado. In: Short papers in the geologic and hydrologic sciences. U.S. Geological Survey Professional Paper, 424-B. B136–B139.
- Delbridge, B.G., et al., 2016. Three-dimensional surface deformation derived from airborne interferometric UAVSAR: application to the Slumgullion landslide. Journal of geophysical research: solid earth, 121 (5), 3951–3977.
- Diehl, S.F., and Schuster, R.L., 1996. Preliminary geologic map and alteration mineralogy of the main scarp of the Slumgullion landslide. In: D.J. Varnes & W.Z. Savage, eds. The Slumgullion earth flow: a large-scale natural laboratory. Washington: U.S. Geological Survey Bulletin, 213013–19.
- Drixler, E., 1993. Analyse der form und lage von objekten im raum. München: Beck-Verlag.
- Felus, Y.A., and Burtch, R.C., 2009. On symmetrical three-dimensional datum conversion. GPS solutions, 13 (1), 65–74. doi: 10.1007/s10291-008-0100-5
- Fischler, M.A., and Bolles, R.C., 1981. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24 (6), 381–395. doi: 10.1145/358669.358692
- Fleming, R.W., Baum, R.L., and Giardino, M., 1999. Map and description of the active part of the Slumgullion landslide, Hinsdale County, Colorado: geologic investigations series map I-2672. Reston, Virginia: U.S. Geological Survey.
- Gao, J.A.Y., 1997. Resolution and accuracy of terrain representation by grid DEMs at a micro-scale. International journal of geographical information science, 11 (2), 199–212. doi: 10.1080/136588197242464
- Hastaoglu, K.O., et al., 2018. Investigation of the success of monitoring slow motion landslides using persistent scatterer interferometry and GNSS methods. Survey review, 50, 475–486. doi: 10.1080/00396265.2017.1295631
- Horn, R.A., and Johnson, C.R., 1990. Matrix analysis. Cambridge, MA: Cambridge University Press.
- Huang, J., et al., 2017. DInSAR technique for slow-moving landslide monitoring based on slope units. Survey review, -, 1–8. online.
- Illingworth, J., and Kittler, J., 1988. A survey of the hough transform. Computer vision, graphics, and image processing, 44 (1), 87–116. doi: 10.1016/S0734-189X(88)80033-1
- Kromer, R.A., et al., 2017. Automated terrestrial laser scanning with near-real-time change detection – monitoring of the Séchilienne landslide. Earth surface dynamics, 5 (2), 293–310. doi: 10.5194/esurf-5-293-2017
- Lipman, P.W., 1976. Geologic map of the Lake City Caldera area, western San Juan Mountains, southwestern Colorado, IMAP 962. Reston, Virginia: U. S. Geological Survey Publications.
- Livny, Y., et al., 2010. Automatic reconstruction of tree skeletal structures from point clouds. ACM transactions on graphics, 29 (6), Article No. 151. doi: 10.1145/1882261.1866177
- Monnier, F., Vallet, B., and Soheilian, B., 2012. Trees detection from laser point clouds acquired in dense urban areas by a mobile mapping system. In: ISPRS annals of the photogrammetry, remote sensing and spatial information sciences. Melbourne. Volume 1–3. 245–250.
- Nissen, E., et al., 2012. Three-dimensional surface displacements and rotations from differencing pre- and post-earthquake LiDAR point clouds. Geophysical research letters, 39 (L16301), 1–6.
- Parise, M., and Guzzi, R., 1992. Volume and shape of the active and inactive parts of the Slumgullion Landslide, Hinsdale County, Colorado, Open-File Report 92–216. Reston, Virginia: U.S. Geological Survey.
- Pfeifer, N., Gorte, B., and Winterhalder, D., 2004. Automatic reconstruction of single trees from terrestrial laser scanner data. In: Proceedings of 20th ISPRS congress. Istanbul, Turkey, 114–119.
- Rosen, P.A., et al., 2000. Synthetic aperture radar interferometry. Proceedings of the IEEE, 88 (3), 333–382. doi: 10.1109/5.838084
- Roth, G., and Levine, M.D., 1993. Extracting geometric primitives. CVGIP: image understanding, 58 (1), 1–22. doi: 10.1006/ciun.1993.1028
- Schnabel, R., Wahl, R., and Klein, R., 2007. Efficient RANSAC for point-cloud shape detection. Computer graphics forum, 26 (2), 214–226. doi: 10.1111/j.1467-8659.2007.01016.x
- Schulz, W., et al., 2012. Kinematics of the Slumgullion landslide revealed by ground-based InSAR surveys. In: Proceedings of the 11th International and 2nd North American symposium on landslides and engineered slopes. Banff, Canada, 3–8 June Colorado, CO, 1273–1279.
- Wang, G., 2011. GPS landslide monitoring: single base vs. network solutions – a case study based on the Puerto Rico and Virgin Islands permanent GPS network. Journal of geodetic science, 1 (3), 191–203. doi: 10.2478/v10156-010-0022-3
- Wang, G., et al., 2013. Delineating and defining the boundaries of an active landslide in the rainforest of Puerto Rico using a combination of airborne and terrestrial LIDAR data. Landslides, 10 (4), 503–513. doi: 10.1007/s10346-013-0400-x
- Wang, J., 2013. Towards Deformation Monitoring with Terrestrial Laser Scanning Based on External Calibration and Feature Matching Methods. Germany: Fachrichtung Geodasie und Geoinformatik, Leibniz Universitaet Hannover.
- Williams, R.A., and Pratt, T.L., 1996. Detection of the base of Slumgullion landslide, Colorado, by seismic reflection and refraction methods. In: D.J. Varnes & W.Z. Savage, eds. The Slumgullion earth flow: a large-scale natural laboratory. Washington, DC: U.S. Government Printing Office, 77–84.
- Zhu, X., 2017. Detection of earthflow using a GPS and LiDAR integrated survey: a case study from the Slumgullion landslide, Lake City, Colorado. Master Thesis. Department of Earth and Atmospheric Sciences, University of Houston.