Landslide investigation with remote sensing and sensor network: From susceptibility mapping and scaled-down simulation towards in situ sensor network design

Remote Sensing

Volumn 5, Issue 9, 2013, Pages 4319-4346

  Qiao, Gang ^a   Lu, Ping ^a   Scaioni, Marco ^a   Xu, Shuying ^a   Tong, Xiaohua ^a   Feng, Tiantian ^a   Wu, Hangbin ^a   Chen, Wen ^a   Tian, Yixiang ^a   Wang, Weian ^a   Li, Rongxing ^a,b  

^a TONGJI UNIVERSITY   (China)

^b OHIO STATE UNIVERSITY   (United States)

Author keywords

Landslide; Remote sensing; Sensor network; Susceptibility mapping

Indexed keywords

2008 WENCHUAN EARTHQUAKES; DESIGN AND IMPLEMENTS; LANDSLIDE MONITORING; LANDSLIDE SUSCEPTIBILITY MAPPING; OBJECT ORIENTED METHOD; RAINFALL INDUCED LANDSLIDES; REMOTE SENSING IMAGES; SUSCEPTIBILITY MAPPING;

DESIGN; EXPERIMENTS; MAPPING; NEURAL NETWORKS; REMOTE SENSING; SENSOR NETWORKS;

LANDSLIDES;

EID: 84884681970     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs5094319     Document Type: Article

References (69)

1. Schuster, R.L. Socioeconomic Significance of Landslides. In Landslides: Investigation and Mitigation; Turner, A.K., Schuster, R.L., Eds.; Transportation Research Board Special Report 247; National Academies Press: Washington, DC, USA, 1996; pp. 12-35.
2. Sassa, K.; Tsuchiya, S.; Ugai, K.; Wakai, A.; Uchimura, T. Landslides: A review of achievements in the first 5 years (2004-2009). Landslides 2009, 6, 275-286.
3. Delacourt, C.; Allemand, P.; Berthier, E.; Raucoules, D.; Casson, B.; Grandjean, P.; Pambrun, C.; Varel, E. Remote-sensing techniques for analysing landslide kinematics: A review. Bull. Soc. Géol. Fr. 2007, 178, 89-100.
4. Metternicht, G.; Hurni, L.; Gogu, R. Remote sensing of landslides: An analysis of the potential contribution to geo-spatial systems for hazard assessment in mountainous environments. Remote Sens. Environ. 2005, 98, 284-303.
5. Guzzetti, F.; Mondini, A.C.; Cardinali, M.; Fiorucci, F.; Santangelo, M.; Chang, K.-T. Landslide inventory maps: New tools for an old problem. Earth Sci. Rev. 2012, 112, 42-66.
6. Tung, S.-H.; Shih, M.-H.; Sung, W.-P. Identification of the landslide using the satellite images and the digital image correlation method. Disa. Adv. 2013, 6, 4-9.
7. Van Westen, C.J.; Castellanos, E.; Kuriakose, S.K. Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview. Eng. Geol. 2008, 102, 112-131.
8. Felicísimo, M.Á.; Cuartero, A.; Remondo, J.; Quirós, E. Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximum entropy methods: A comparative study. Landslides 2013, 10, 175-189.
9. Strozzi, T.; Ambrosi, C.; Raetzo, H. Interpretation of aerial photographs and satellite SAR interferometry for the inventory of landslides. Remote Sens. 2013, 5, 2554-2570.
10. Chauhan, S.; Sharma, M.; Arora, K.M. Landslide susceptibility zonation of the Chamoli region, Garhwal Himalayas, using logistic regression model. Landslides 2010, 7, 411-423.
11. Park, S.; Chio, C.; Kim, B.; Kim, J. Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea. Environ. Earth Sci. 2013, 68, 1443-1464.
12. Tofani, V.; Raspini, F.; Catani, F.; Casagli, N. Persistent Scatterer Interferometry (PSI) technique for landslide characterization and monitoring. Remote Sens. 2013, 5, 1045-1065.
13. Mantovani, F.; Soeters, R.; van Westen, C.J. Remote sensing techniques for landslide studies and hazard zonation in Europe. Geomorphology 1996, 15, 213-225.
14. Dunning, S.A.; Rosser, N.J.; Massey, C.I. The integration of terrestrial laser scanning and numerical modeling in landslide investigations. Q. J. Eng. Geol. Hydrogeol. 2010, 43, 233-247.
15. Gigli, G.; Fanti, R.; Canuti, P.; Casagli, N. Integration of advanced monitoring and numerical modeling techniques for the complete risk scenario analysis of rockslides: The case of Mt. Beni (Florence, Italy). Eng. Geol. 2011, 120, 48-59.
16. Li, R. The CSISSD Research Team. Advanced Spatial Sensor Network Systems-Review, Status, and Applications. In Proceedings of 2011 International Symposium on Image and Data Fusion, Tengchong, Yunnan, China, 9-11 August 2011.
17. Ramesh, M.V. Design, development, and deployment of a wireless sensor network for detection of landslides. Ad Hoc Netw. 2012, doi: 10.1016/j.adhoc.2012.09.002.
18. Arattano, M.; Marchi, L. Systems and sensors for debris-flow monitoring and warning. Sensors 2008, 8, 2436-2452.
19. Angeli, M.; Pasuto, A.; Silvano, S. A critical review of landslide monitoring experiences. Eng. Geol. 2000, 55, 133-147.
20. Akbarimehr, M.; Motagh, M.; Haghshenas-Haghighi, M. Slope stability assessment of the Sarcheshmeh Landslide, Northeast Iran, investigated using InSAR and GPS observations. Remote Sens. 2013, 5, 3681-3700.
21. Jaboyedoff, M.; Oppikofer, T.; Abellán, A.; Derron, M.H.; Loye, A.; Metzger, R.; Pedrazzini, A. Use of LIDAR in landslide investigations: A review. Nat. Hazards 2012, 61, 1-24.
22. Lato, M.J.; Bevan, G.; Fergusson, M. Gigapixel imaging and photogrammetry: Development of a new long range remote imaging technique. Remote Sens. 2012, 4, 3006-3021.
23. del Ventisette, C.; Ciampalini, A.; Manunta, M.; Calò, F.; Paglia, L.; Ardizzone, F.; Mondini, A.C.; Reichenbach, P.; Mateos, R.M.; Bianchini, S.; et al. Exploitation of large archives of ERS and ENVISAT C-Band SAR data to characterize ground deformations. Remote Sens. 2013, 5, 3896-3917.
24. Ou, J.; Qiao, G.; Bao, F.; Wang, W.; Di, K.; Li, R. A new method for automatic large scale map updating using mobile mapping imagery. Photogramm. Rec. 2013, 28, 240-260.
25. Sato, H.P.; Harp, E.L. Interpretation of earthquake-induced landslides triggered by the 12 May 2008, M7.9 Wenchuan earthquake in the Beichuan area, Sichuan Province, China, using satellite imagery and Google Earth. Landslides 2009, 6, 153-159.
26. Bozzano, F.; Cipriani, I.; Mazzanti, P.; Prestininzi, A. Displacement patterns of a landslide affected by human activities: Insights from ground-based InSAR monitoring. Nat. Hazards 2011, 59, 1377-1396.
27. Hong, Y.; Adler, R.F. Towards an early-warning system for global landslides triggered by rainfall and earthquake. Int. J. Remote. Sens. 2007, 28, 3713-3719.
28. Cruden, D.M.; Varnes, D.J. Landslides Types and Processes. In Landslides: Investigation and Mitigation; Turner, A.K., Schuster, R.L., Eds.; Transportation Research Board Special Report 247, National Academies Press: Washington, DC, USA, 1996; pp. 36-75.
29. Guzzetti, F.; Carrara, A.; Cardinali, M.; Reichenbach, P. Landslide hazard evaluation: A review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 1999, 31, 181-216.
30. Dai, F.C.; Lee, C.F.; Nhai, Y.Y. Landslide risk assessment and management: An overview. Eng. Geol. 2002, 64, 65-87.
31. Dai, F.C.; Xu, C.; Yao, X.; Xu, L.; Tu, X.B.; Gong, Q.M. Spatial distribution of landslides triggered by the 2008 Ms 8.0 Wenchuan Earthquake, China. J. Asian Earth Sci. 2011, 40, 883-895.
32. Tang, C.; Zhu, J.; Qi, X.; Ding, J. Landslides induced by the Wenchuan earthquake and the subsequent strong rainfall event: A case study in the Beichuan area of China. Eng. Geol. 2011, 122, 22-33.
33. Scaioni, M.; Lu, P.; Chen, W.; Qiao, G.; Wu, H.; Feng, T.; Tong, X.; Wang, W.; Li, R. Analysis of spatial sensor network observations during landslide simulation experiments. Eur. J. Environ. Civil. Eng. 2013, doi: 10.1080/19648189.2013.822427.
34. Qi, S.W.; Xu, Q.; Lan, H.X.; Zhang, B.; Liu, J.Y. Spatial distribution analysis of landslides triggered by 2008.5.12 Wenchuan Earthquake, China. Eng. Geol. 2010, 116, 95-108.
35. Wang, F.W.; Cheng, Q.G.; Highland, L.; Miyajima, M.; Wang, H.B.; Yan, C.G. Preliminary investigation of some large landslides triggered by the 2008 Wenchuan earthquake, Sichuan Province, China. Landslides 2009, 6, 47-54.
36. Qiao, G.; Wang, W.; Wu, B.; Liu, C.; Li, R. Assessment of geo-positioning capability of high-resolution satellite imagery for densely populated high buildings in metropolitan areas. Photogramm. Eng. Remote. Sens. 2010, 76, 923-934.
37. Lu, P.; Stumpf, A.; Kerle, N.; Casagli, N. Object-oriented change detection for landslide rapid mapping. IEEE Geosci. Remote Sens. 2011, 8, 701-705.
38. Hölbling, D.; Füreder, P.; Antolini, F.; Cigna, F.; Casagli, N.; Lang, S. A semi-automated object-based approach for landslide detection validated by Persistent Scatterer Interferometry measures and landslide inventories. Remote Sens. 2012, 4, 1310-1336.
39. Yang, C.J.L.; Ren, X.L.; Huang, H. The vegetation damage assessment of the Wenchuan earthquake of May 2008 using remote sensing and GIS. Nat. Hazards 2012, 62, 45-55.
40. Lacroix, P.; Zavala, B.; Berthier, E.; Audin, L. Supervised method of landslide inventory using panchromatic SPOT5 images and application to the earthquake-triggered landslides of Pisco (Peru, 2007, Mw8.0). Remote Sens. 2013, 5, 2590-2616.
41. Defries, S.R.; Townshend, J.R.G. NDVI-derived land cover classifications at a global scale. Int. J. Remote Sens. 1994, 15, 3567-3586.
42. Marqués, F.; Gasull, A. Multiresolution Image Segmentation Based on Compound Random Fields: Application to Image Coding; Universitat Politècnica de Catalunya: Barcelona, Spain, 1992; pp. 86-114.
43. Tong, H.J.; Maxwell, T.; Zhang, Y.; Dey, V. A supervised and fuzzy-based approach to determine optimal multi-resolution image segmentation parameters. Photogramm. Eng. Remote. Sens. 2012, 78, 1029-1044.
44. Gorum, T.; Fan, X.M.; van Westen, J.C.; Huang, R.Q.; Xu, Q.; Tang, C.; Wang, G.H. Distribution pattern of earthquake-induced landslides triggered by the 12 May 2008 Wenchuan earthquake. Geomorphology 2011, 133, 152-167.
45. Conoscenti, C.; Maggio, C.D.; Rotigliano, E. GIS analysis to assess landslide susceptibility in a fluvial basin of NW Sicily (Italy). Geomorphology 2008, 94, 325-339.
46. Neuhäuser, B.; Damm, B.; Terhorst, B. GIS-based assessment of landslide susceptibility on the base of the Weights-of-Evidence model. Landslides 2012, 9, 511-528.
47. Pareek, N.; Sharma, M.L.; Arora, K.M. Impact of seismic factors on landslide susceptibility zonation: A case study in part of Indian Himalayas. Landslides 2010, 7, 191-201.
48. Chen, H.; Lin, G.W.; Lu, M.H.; Shih, T.Y.; Horng, M.J.; Wu, S.J.; Chuang, B. Effects of topography, lithology, rainfall and earthquake on landslide and sediment discharge in mountain catchments of southeastern Taiwan. Geomorphology 2011, 133, 132-142.
49. Akgun, A. A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: A case study at Izmir, Turkey. Landslides 2012, 9, 93-106.
50. Othman, A.A.; Gloaguen, R. River courses affected by landslides and implications for hazard assessment: A high resolution remote sensing case study in NE Iraq-W Iran. Remote Sens. 2013, 5, 1024-1044.
51. Moreiras, S.M. Landslide susceptibility zonation in the Rio Mendoza Valley, Argentina. Geomorphology 2005, 66, 345-357.
52. Akgun, A.; Dag, S.; Bulut, F. Landslide susceptibility mapping for a landslide-prone area (Findikli, NE of Turkey) by likelihood-frequency ratio and weighted linear combination models. Environ. Geol. 2008, 54, 1127-1143.
53. Ray, R.L.; Jacobs, J.M.; Cosh, M.H. Landslide susceptibility mapping using downscaled AMSR-E soil moisture: A case study from Cleveland Corral, California, US. Remote Sens. Environ. 2010, 114, 2624-2636.
54. Bartlett, E.B. A stochastic training algorithm for artificial neural networks. Neurocomputing 1994, 6, 31-43.
55. Li, Y.; Chen, G.; Tang, C.; Zhou, G.; Zheng, L. Rainfall and earthquake-induced landslide susceptibility assessment using GIS and Artificial Neural Network. Nat. Hazard Earth Syst. Sci. 2012, 12, 2719-2729.
56. Liu, C.; Li, W.; Wu, H.; Lu, P.; Sang, K.; Sun, W.; Chen, W.; Hong, Y.; Li, R. Susceptibility evaluation and mapping of China's landslides based on multi-source data. Nat. Hazards 2013, doi: 10.1007/s11069-013-0759-y.
57. Holmstrom, L.; Koistinen, P. Using additive noise in back-propagation training. IEEE Trans. Neural Netw. 1992, 3, 24-38.
58. Haykin, S. Neural Networks: A Comprehensive Foundation, 2nd ed.; Prentice-Hall: Upper Saddle River, NJ, USA, 1999; p. 823.
59. Ma, C.F.; Jiang, L.H. Some research on Levenberg-Marquardt method for the nonlinear equations. Appl. Math. Comput. 2007, 184, 1032-1040.
60. Lee, S.; Ryu, J.H.; Kim, L.S. Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: Case study of Youngin, Korea. Landslides 2007, 4, 327-338.
61. OTEC Communication Technology Co. (Guangzhou, China). Available online http://www.cnotec.cn/1234/html/?18.html (assessed on 3 September 2013).
62. Sansoni, G.; Trebeschi, M.; Docchio, F. State-of-the-art and applications of 3D imaging sensors in industry, cultural heritage, medicine, and criminal investigation. Sensors 2009, 9, 568-601.
63. NOAA National Weather Service. Available online http://mag.ncep.noaa.gov/ (accessed on 3 September 2013).
64. Casagli, N.; Catani, F.; del Ventisette, C.; Luzi, G. Monitoring, prediction, and early warning using ground-based radar interferometry. Landslides 2010, 7, 291-301.
65. Tapete, D.; Casagli, N.; Luzi, G.; Fanti, R.; Gigli, G.; Leva, D. Integrating radar and laser-based remote sensing techniques for monitoring structural deformation of archaeological monuments. J. Archaeol. Sci. 2013, 40, 176-189.
66. Heritage, G.L.; Large, A.R.G. Laser Scanning for the Environmental Sciences; John Wiley & Sons: Chichester, UK, 2009; p. 302.
67. Vosselman, G.; Maas, H.G. Airborne and Terrestrial Laser Scanning; Taylor and Francis Group: Boca Raton, FL, USA, 2010; p. 320.
68. Eisenbeiss, H.; Sauerbier, M. Investigation of UAV systems and flight modes for photogrammetric applications. Photogramm. Rec. 2011, 26, 400-421.
69. Tapete, D.; Fanti1, R.; Cecchi, R.; Petrangeli, P.; Casagli, N. Satellite radar interferometry for monitoring and early-stage warning of structural instability in archaeological sites. J. Geophys. Eng. 2012, 9, S10-S25.