Satellite stereoscopic pair images of very high resolution: a step forward for the development of landslide inventories

Landslides

Volumn 12, Issue 2, 2015, Pages 277-291

  Murillo García, Franny Giselle ^a   Alcántara Ayala, Irasema ^a   Ardizzone, Francesca ^b   Cardinali, Mauro ^b   Fiourucci, Federica ^b   Guzzetti, Fausto ^b  

^a UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO   (Mexico)

^b CNR   (Italy)

Author keywords

Hazard evaluation; Landslide identification; Landslide inventory; Mapping; Very high resolution satellite images

Indexed keywords

COSTS; HARDWARE; HAZARDS; IMAGE ANALYSIS; LANDSLIDES; MAPPING; RECONFIGURABLE HARDWARE; REMOTE SENSING; RISK ASSESSMENT; SATELLITE IMAGERY; SATELLITES;

HAZARD EVALUATION; HIGH RESOLUTION IMAGE; LANDSLIDE IDENTIFICATION; LANDSLIDE INVENTORIES; REMOTE SENSING TECHNIQUES; SOFTWARE AND HARDWARES; VERY HIGH RESOLUTION; VERY HIGH RESOLUTION SATELLITE IMAGES;

STEREO IMAGE PROCESSING;

FIELD SURVEY; HARDWARE; HAZARD ASSESSMENT; IMAGE ANALYSIS; IMAGE RESOLUTION; INVENTORY; LANDSLIDE; MAPPING; SATELLITE DATA; SATELLITE IMAGERY; SOFTWARE;

MEXICO [NORTH AMERICA]; PUEBLA [MEXICO];

EID: 84942323141     PISSN: 1612510X     EISSN: 16125118     Source Type: Journal    
DOI: 10.1007/s10346-014-0473-1     Document Type: Article

References (86)

1. Abdallah C, Baghdadi N, Boukheir R (2010) Exploratory GIS & remote sensing analysis for the development of statistical correlations between environmental parameters and mass movements’ occurrence. Geophysical Research Abstracts Vol. 12, EGU2010. http://meetingorganizer.copernicus.org/EGU2010/EGU2010-8778.pdf. Accessed 18 Jan 2014
2. Akgün A, Bulut F (2007) GIS-based landslide susceptibility for Arsin-Yomra (Trabzon, North Turkey) region. Environ Geol 51:1377–1387. doi:10.1007/s00254-006-0435-6
3. Alkevli T, Ercanoglu M (2011) Assessment of ASTER satellite images in landslide inventory mapping: Yenice-Gökçedbey (Western Black Sea Region, Turkey). Bull Eng Geol Environ 70:607–617. doi:10.1007/s10064-011-0353-z
4. Allum JAE (1966) Photogeology and regional mapping. Pergamon Press, Oxford
5. Al-Athari FM (2011) Parameter estimation for the double Pareto distribution. J Math Stat 7:289–294
6. Antonini G, Cardinali M, Guzzetti F, Reichenbach P, Sorrentino A (1993) Carta Inventario dei Fenomeni Franosi della Regione Marche ed aree limitrofe. CNR Gruppo per la Difesa dalle Catastrofi Idrogeologiche Publication 580, 2 sheets, scale 1:100,000 (in Italian)
7. Ardizzone F, Cardinalli M, Guzzetti F, Reichenbach P (2007) Identification and mapping of recent rainfall induced landslides using elevation data collected by airborne LIDAR. Nat Hazards Earth Syst Sci 7:637–650
8. Ardizzone F, Fiorucci F, Santangelo M, Cardinali M, Mondini A, Rossi M, Reichenbach P, Guzzetti F (2013) Very-high resolution stereoscopic satellite images for landslide mapping. Proc Second World Landslide Forum 3–7
9. Baldo M, Bicocchi C, Chiocchini U, Giordan D, Lollino G (2009) LiDAR monitoring of mass wasting processes: the Radicofani landslide, Province of Siena, Central Italia. Geomorphology 105:193–201
10. Beiser L (1981) Anaglyph stereoscopy. Google patents. http://www.google.com.mx/patents/US4290675. Accessed 19 Jan 2014
11. Bektas K, Coltekin A (2009) A survey of stereoscopic visualization support in mainstream geographic information systems. In: Proceedings, True 3D in cartography, 1st international conference on 3D maps, 24–28 August 2009, Dresden, Germany, pp 24–28
12. Bektas K, Coltekin A (2012) Area of interest based interaction and Geovisualization with WebGL. In: Proceedings of the graphical web conference 2012, Zurich, Switzerland
13. Bernard M, Decluseau D, Gabet L, Nonin P (2012) 3D capabilities of Pleiades satellite. International archives of the photogrammetry. Remote Sens Spat Inf Sci 39:553–557
14. Bertolini G, Canuti P, Casagli N, de Nardo MT, Egidi D, Mainetti M, Pignoner, Pizziolo M (2002) Carta della Pericolosità Relativa da Frana della Regione Emilia-Romagna. SystemCart, Rome, Italy (also in English). http://ambiente.regione.emilia-romagna.it/geologia-en/divulgazione/pubblicazioni/cartografia-geo-tematica/carta-della-pericolosita-relativa-da-frana-ai-fini-di-protezione-civile. Accessed 19 Jan 2014
15. Booth AM, Roering JJ, Perron JT (2009) Automated landslide mapping using spectral analysis and high-resolution topographic data: Puget Sound lowlands, Washington, and Portland Hills, Oregon. Geomorphology 109:132–147
16. Borghuis AM, Lee HY (2007) Comparison between automated and manual mapping of typhoon‐triggered landslides from SPOT‐5 imagery. Int J Remote Sens 28:1843–1856. doi:10.1080/01431160600935638
17. Boulos M, Robinson L (2009) Web GIS in practice VII: stereoscopic 3-D solutions for online maps and virtual globes. Int J Health Geogr 8:59. doi:10.1186/1476-072X-8-59
18. Blake B, Fox R (1973) The psychophysical inquiry into binocular summation. Percept Psychophys 14:161–185. doi:10.3758/BF03198631
19. Brardinoni F, Slaymaker O, Hassan MA (2003) Landslide inventory in a rugged forested watershed: a comparison between air-photo and field survey data. Geomorphology 54:179–196
20. Brown K (2012) Landslide detection and susceptibility mapping using LiDAR and artificial neural network modeling: a case study in glacially dominated Cuyahoga River valley, Ohio. Thesis Master Science, Bowling Green State University
21. Cardinali M, Guzzetti F, Brabb EE (1990) Preliminary map showing landslide deposits and related features in New Mexico. U.S. Geological Survey Open File Report 90/293, 4 sheets, scale 1:500 000
22. Carrara A, Merenda L (1976) Landslide inventory in northern Calabria, southern Italy. Geol Soc Am Bull 87:1153–1162
23. Carrara A, Crosta G, Frattini P (2003) Geomorphological and historical data in assessing landslide hazard. Earth Surf Process Landf 28:1125–1142
24. Chen H-C, Chen WW (2012) High resolution 3D images of natural terrains and landslides. In: Proceedings of the 2012 International Symposium on Computer, Consumer and Control. IEEE Computer Society, Washington, pp 598–601. doi:10.1109/IS3C.2012.156
25. Chen RF, Chang KJ, Angelier J, Chan YC, Deffontaines B, Lee CT, Lin ML (2006) Topographical changes revealed by high-resolution airborne LIDAR data: the 1999 Tsaoling landslide induced by the Chi-Chi earthquake. Eng Geol 88:160–172
26. Corsini A, Cervi F, Daehne A, Ronchetti F (2009) Coupling geomorphic field observation and LiDAR derivatives to map complex landslide. In: Malet JP, Remaître A, Bogaard T (eds) Landslides processes—from geomorphologic mapping to dynamic modelling: proceedings of the landslide processes conference. Strasbourg, pp 15–18
27. Cruden DM, Varnes DJ (1996) Landslide types and processes. In: Turner AK, Schuster RL (eds) Landslides, investigation and mitigation, Transportation Research Board special report, vol 247., pp 36–75
28. Derron MH, Jaboyedoff M (2010) Preface to the special issue: LiDAR and DEM techniques for landslides monitoring and characterization. Nat Hazards Earth Syst Sci 10:1877–1879
29. Fiorucci F, Cardinali M, Carlà R, Rossi M, Mondini AC, Santurri L, Ardizzone F, Guzzetti F (2011) Seasonal landslides mapping and estimation of landslide mobilization rates using aerial and satellite images. Geomorphology 129:59–70. doi:10.1016/j.geomorph.2011.01.013
30. Gagnon H (1975) Remote sensing of landslides hazards on quick clays of eastern Canada. In: Proceeding 10th International Symposium Remote Sensing of Environment. Environmental Research Institute of Michigan, Ann Arbor, pp 803–810
31. Galli M, Ardizzone F, Cardinali M, Guzzetti F, Reichenbach P (2008) Comparing landslide inventory maps. Geomorphology 94:268–289. doi:10.1016/j.geomorph.2006.09.023
32. Gao J, Maroa J (2010) Topographic controls evolution of shallow landslides in pastoral Wairarapa, New Zealand, 1979–2003. Geomorphology 114:373–381. doi:10.1016/j.geomorph.2009.08.002
33. Glade T (2001) Landslide hazard assessment and historical landslide data—an inseparable couple? Adv Nat Technol Hazards Res 17:153–168. doi:10.1007/978-94-017-3490-5_12
34. Guzzetti F, Cardinali M, Reichenbach P (1994) The AVI project: a bibliographical and archive inventory of landslides and floods in Italy. Environ Manag 18:623–633
35. Guzzetti F, Cardinali M, Reichenbach P, Carrara A (2000) Comparing landslide maps: a case study in the upper Tiber River Basin, central Italy. Environ Manag 25(3):247–363
36. Guzzetti F, Reichenbach P, Cardinali M, Ardizzone F, Galli G (2003) The impact of landslides in the Umbria region, central Italy. Nat Hazards Earth Syst Sci 3:469–486
37. Guzzetti F, Modini A, Cardinali M, Fiorucci F, Santangelo M, Chang KT (2012) Landslide inventory maps: new tools for an old problem. Earth Sci Rev 112:42–66
38. Haneberg WC, Cole WF, Kasali G (2009) High-resolution LiDAR-based landslide hazard mapping and modeling, UCSF Parnassus Campus; San Francisco, USA. Bull Eng Geol Environ 68:263–276. doi:10.1007/s10064-009-0204-3
39. Harp EL, Jibson RL (1996) Landslides triggered by the 1994 Northridge, California earthquake. Seismol Soc Am Bull 86:319–S332
40. Howard I, Rogers B (2012) Perceiving in depth. Stereoscopic vision. Volume II. Oxford University Press, New York
41. Liu JK, Hsiao KH, Shih PTY (2012) A geomorphological model for landslide detection using airborne LIDAR data. J Mar Sci Technol 20:629–638. doi:10.6119/JMST-012-0412-1
42. Kasai M, Ikeda M, Asahina T, Fujisawa K (2009) LíDAR-derived DEM evaluation of deep-seated landslides in a steep and rocky region of Japan. Geomorphology 113:57–69. doi:10.1016/j.geomorph.2009.06.004
43. Kliparchuk K, Collins D (2010) Evaluation of stereoscopic GeoEye-1 satellite imagery to assess landscape and stand level characteristics. In: Proceedings of the ISPRS Canadian Geomatics Conference and Symposium of Commission I, Calgary, AB, Canada, pp 15–18
44. Krishnaswamy M, Kalyanaraman S (2005) Indian remote sensing satellite Cartosat-1: technical features and data products. http://www.gisdevelopment.net/technology/rs/techrs023.htm. Accessed 19 Jan 2014
45. Lee S, Lee M (2006) Detecting landslide location using KOMPSAT 1 and its application to landslide-susceptibility mapping at the Gangneung area, Korea. Adv Space Res 38:2261–2271. doi:10.1016/j.asr.2006.03.036
46. Lan H, Martin CD, Zhou C, Lim CH (2010) Rockfall hazard analysis using LiDAR and spatial modeling. Geomorphology 118:213–223. doi:10.1016/j.geomorph.2010.01.002
47. LoaezaGarcía JP, ZárateBarradas RG (2005) Carta Geológico-Minera Huauchinango F14-D83. Servicio Geológico Mexicano, scale 1:50 000. (In Spanish)
48. Mann U, Pradhan B, Prechtel N, Buchroithner M (2012) An automated approach for detection of shallow landslides from LiDAR derived DEM using geomorphological indicators in a tropical forest. In: Terrigenous mass movements. Springer, Berlin, pp 1–22
49. Marcelino EV, Formaggio AR, Maeda EE (2009) Landslide inventory using image fusion techniques in Brazil. Int J Applied Earth Obs Geoinformation 11:181–191. doi:10.1016/j.jag.2009.01.003
50. Martha TR, Kerle N, Jetten V, van Westen C, Vinod Kumar K (2010) Characterizing spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methods. Geomorphology 116:24–36
51. Miner AS, Flentje P, Mazengarb C, Windle DJ (2010) Landslide recognition using LiDAR derived digital elevation models, lessons learnt from selected Australian examples. In: Williams AL, Pinches GM, Chin CY, McMorran TJ, Massey CI (eds) Geologically active: proceedings of the 11th IAEG congress of the International Association of Engineering Geology and the Environment. Auckland, New Zealand, pp 1–9
52. Mondini AC, Guzzetti F, Reichenbach P, Rossi M, Cardinalli M, Ardizzone F (2011) Semi-automatic recognition and mapping of rainfall induced shallow landslides using satellite optical images. Remote Sens Environ 115:1743–1757
53. Nale DK (2002) Quickbird—aerial photography comparison report. EMAP International, Reddick
54. Navarrete Pacheco JA (2003) Digital stereo image interpretation of natural hazard assessment. Dissertation, ITC
55. Nichol J, Wong MS (2005) Satellite remote sensing for detailed landslide inventories using change detection and image fusion. Int J Remote Sens 26:1913–1926. doi:10.1080/01431160512331314047
56. Nichol EJ, Shaker A, Wong MS (2006) Application of high-resolution stereo satellite images to detailed landslides hazard assessment. Geomorphology 76:68–75. doi:10.1109/URS.2009.5137737
57. Nikolakopoulos KG, Lathourakis G (2005) Along the track vs across the track satellite stereo-pair for DTM creation. In: Geoscience and Remote Sensing Symposium, 2005. IGARSS’05. Proceedings. 2005 IEEE International 8:5324–5327, 25–29
58. Oliva Aguilar VR, Garza Merodio GG, Alcántara Ayala I (2011) Configuration and temporal dimension of vulnerability: spaces and disasters in the Sierra Norte de Puebla. Investigaciones Geográficas, Boletín del Instituto de Geografía, UNAM 75:61–74
59. Olm J, Gaffney B (2010) 3D stereo digital intermediate workflow. In: Okun J, Zwerman S (eds) The VES handbook of visual effects: industry standard VFX practices and procedures. Focal Press, Oxford, pp 434–447
60. Ostnes R, Abbott V, Lavender S (2004) Visualization techniques: an overview—part 2. Hydrogr J 114:3–9
61. Peters-Guarin G, McCall MK, van Westen CJ (2012) Coping strategies and risk manageability: using participatory geographical information systems to represent local knowledge. Disasters: J disaster Stud Policy Manag 36:1–27
62. Petrie G (2001) 3D stereo-viewing of digital imagery: is auto-stereoscopy the future for 3D. GeoInformatics 4:24–29
63. Ping L, Stumpf A, Kerle N, Casagli N (2011) Object-oriented change detection for landslide rapid mapping. Geosci Remote Sens Lett IEEE 8:701–705. doi:10.1109/LGRS.2010.2101045
64. Planar (2008) SD2620W stereoscopic monitor user’s guide. Planar Systems, Beaverton
65. Poli D, Remondino F, Angiuli E, Agugiaro G (2013) Evaluation of Pleiades-1a triplet on Trento testfield. International Archives of the Photogrammetry, Remote Sens Spat Inf Sci 40:287–292
66. Prokop A, Panholzer H (2009) Assessing the capability of terrestrial laser scanning for monitoring slow moving landslides. Nat Hazards Earth Syst Sci 9:1921–1928
67. Quantin C, Allemand P, Delacourt C (2004) Morphology and geometry of Valles Marineris landslides. Planetary Space Sci 52:1011–1022. doi:10.1016/j.pss.2004.07.016
68. Ray RG (1960) Aerial photographs in geological interpretation and mapping. Geological survey professional paper, Washington, USA. http://pubs.usgs.gov/pp/0373/report.pdf. Accessed 18 Jan 2014
69. Razak KA, Straatsma MW, van Westen CJ, Malet JP, de Jong SM (2011) Airborne laser scanning of forested landslides characterization: terrain model quality and visualization. Geomorphology 126:186–200
70. Remondo J, Bonachea J, Cendrero A (2005) A statistical approach to landslide risk modeling at basin scale: from landslide susceptibility to quantitative risk assessment. Landslides 2:321–328. doi:10.1007/s10346-005-0016-x
71. Rib HT, Liang T (1978) Recognition and identification. In: Schuster RL, Krizek RJ (eds) Landslide analysis and control, National Academy of Sciences, Transportation Research Board special report 176, pp 34–80
72. Rossi M, Ardizzone F, Cardinalli M, Fiorucci F, Marchesini I, Mondini A, Santangelo M, Gosh S, Riguer DEL, Lahousse T, Chang KT, Guzzetti F (2012) A tool for the estimation of the distribution of landslide area in R. Geophysical Research Abstracts, 14, EGU2012-9438-1
73. Sánchez Rojas LE, De la Callejera Moctezuma AE (2004) Carta Geológico-Minera Pahuatlán F14-D73. ServicioGeológicoMexicano, scale 1:50 000. (On Spanish)
74. Sauchyn DJ, Trench NR (1978) Landsat applied to landslide mapping. Photogramm Eng Remote Sens 44:735–741
75. Scanvic JY, Girault F (1989) Imagerie SPOT-1 etinventaire des mouvements de terrain: l’exemple de La Paz (Bolivie). Photo Interpretation 89:1–20 (In French)
76. Schulz WH (2004) Landslides mapped using LIDAR imagery, Seattle, Washington, US. Geological Survey open-file report 2004-1396. http://pubs.usgs.gov/of/2004/1396/OF2004-1396_508.pdf. Accessed 18 Jan 2014
77. Schulz WH (2007) Landslide susceptibility revealed by LIDAR imagery and historical records, Seattle, Washington. Eng Geol 89:67–87. doi:10.1016/j.enggeo.2006.09.019
78. Steiniger S, Weibel R (2010) GIS software. In: Warf B (ed) Encyclopedia of geography. SAGE, Thousand Oaks, pp 1319–1322. doi:10.4135/9781412939591.n518
79. Stephens PR (1988) Use of satellite data to map landslides. In: Proceedings 9th Asian Conference on Remote Sensing, Bangkok, Thailand, 11, pp 1–7
80. Tempfli K, Huurneman GC, Bakker WH, Janssen LLF, Bakker WH, Feringa WF, Gieske ASM, Grabmaier KA, Hecker CA, Horn JA, Huurneman GC, Kerle N, van der Meer FD, Parodi GN, Pohl C, Reeves CV, van Ruitenbeek FJA, Schetselaar EM, Weir MJC, Westinga E, Woldai T (2009) Principles of remote sensing: an introductory textbook. ITC, the Netherlands
81. van Den Eeckhaut M, Poesen J, Verstraeten G, Vanacker V, Moeyersons J, Nyssen J, van Beek LPH, Vandekerckhove L (2007) Use of LiDAR-derived images for mapping old landslides under forest. Earth Surf Process Landf 32:754–769. doi:10.1002/esp.1417
82. Weirich F, Blesius L (2007) Comparison of satellite and air photo based landslide susceptibility maps. Geomorphology 87:352–364. doi:10.1016/j.geomorph.2006.10.003
83. van Westen CJ, van Asch TWJ, Soeters R (2006) Landslide hazard and risk zonation—why is it still so difficult? Bull Eng Geol Environment 65:167–184. doi:10.1007/s10064-005-0023-0
84. Van Zuidam RA (1985) Aerial photo-interpretation in terrain analysis and geomorphological mapping. International Institute for Aerospace Survey and Earth Sciences (ITC). Smiths, the Hague
85. Wieczorek GF (1984) Preparing a detailed landslide-inventory map for hazard evaluation and reduction. Bull Assoc Eng Geol 21:337–342
86. Yang X, Chen L (2010) Using multi-temporal remote sensor imagery to detect earthquake-triggered landslides. Int J Appl Earth Obs Geoinformation, Geospatial Technologies Disaster Manag 12:487–495. doi:10.1016/j.jag.2010.05.006