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Obtaining Snow Avalanche Information by Means of Terrestrial Photogrammetry—Evaluation of a New Approach

  • Paweł ChrustekEmail author
  • Natalia Kolecka
  • Yves Bühler
Chapter
Part of the Environmental Science and Engineering book series (ESE)

Abstract

Recent snow avalanche hazard mapping tools and procedures offer methods to improve the accuracy and reliability of risk and hazard localization. The validation of numerical mass movement models mainly depends on recorded historical avalanche data sets such as avalanche outlines and release volumes. These data sets are often unavailable or of an unknown accuracy. Avalanche characteristics such as release area, flow height and flow path, runout distance and total amount of released snow mass are essential parameters for proper calibration and evaluation of numerical simulation tools. Incorrectly calibrated models can influence decisions-making which directly affects human safety. The acquisition of high quality data regarding observed avalanche events is often hindered by the high risk permanently present in avalanche terrain. This chapter describes a method based on photogrammetry and computer vision that allows using a single terrestrial photograph with unknown exterior and interior orientation parameters to accurately map avalanche outlines and release areas. We evaluate this method by comparing its results with GPS measurements made in the field and discuss the optimization of measurement efficiency, costs and human safety.

Keywords

Global Position System Global Navigation Satellite System Digital Elevation Model Global Navigation Satellite System Terrestrial Laser Scanning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

We would like to express our gratitude to the Foundation for Polish Science for financial support of Paweł Chrustek. Performing the analyses was possible thanks to the VENTURES program organized by the Foundation of Polish Science and co-funded by the European Regional Development Fund under the Operational Program Innovative Economy 2007-2013. Natalia Kolecka is a grant holder of “Doctus” Programme. We also would like to express gratitude to our colleagues Marek Świerk from the Anna Pasek Foundation in Poland, for assistance in collecting field data, Wojciech Bartkowski and Jakub Radliński from the Volunteer Mountain Rescue Service (Górskie Ochotnicze Pogotowie Ratunkowe, GOPR), for assistance in collecting data and materials concerning historical avalanches in the Tatra Mountains.

References

  1. Abdel-Aziz YI, Karara HM (1971) Direct linear transformation from comparator coordinates into object space coordinates in close-range photogrammetry. In: Proceedings of the ASP/UI Symposium on Close-Range Photogrammetry. American Society of Photogrammetry, Falls Church, VAGoogle Scholar
  2. Aschenwald J, Leichter K, Tasser E, Tappeiner U (2001) Spatio-temporal landscape analysis in mountainous terrain by means of small format photography: a methodological approach. IEEE Trans Geosci Remote Sens 39:885–893CrossRefGoogle Scholar
  3. Atlas of Switzerland 2 (2004) [DVD or 2 CD-ROMs]. Swiss Federal Office of Topography, WabernGoogle Scholar
  4. Buchroithner M (2002) Creating the virtual Eiger North Face. ISPRS J Photogramm Remote Sens 57:114–125CrossRefGoogle Scholar
  5. Bühler Y, Hüni A, Christen M, Meister R, Kellenberger T (2009) Automated detection and mapping of avalanche deposits using airborne optical remote sensing data. Cold Reg Sci Technol 57:99–106CrossRefGoogle Scholar
  6. Christen M, Kowalski J, Bartelt P (2010) RAMMS: Numerical simulation of dense snow avalanches in three-dimensional terrain. Cold Reg Sci Technol 63:1–14CrossRefGoogle Scholar
  7. Chrustek P (2009) Promotion of secure mountain exploration by the Anna Pasek Foundation. In: Schweizer J, Van Herwijnen A (eds) International Snow Science Workshop. 27 September to 2 October 2009, Davos, Switzerland. Proceedings Swiss Federal Institute for Forest, Snow and Landscape Research, BirmensdorfGoogle Scholar
  8. Chrustek P, Biskupič M, Kolecka N (2010) Comparison of different methods for obtaining snow avalanche data. In: Ostapowicz K, Kozak J (eds) Conference Proceedings of the 1st Forum Carpaticum, Integrating Nature and Society Towards Sustainability, Institute of Geography and Spatial Management, Jagiellonian University, KrakówGoogle Scholar
  9. Corripio JG (2004) Snow surface albedo estimation using terrestrial photography. Int J Remote Sens 25:5705–5729CrossRefGoogle Scholar
  10. Deems J, Painter T (2006) Lidar measurement of snow depth: Accuracy and error sources. In: Proceedings of the International Snow Science Workshop, 1–6 October Telluride, CO, USAGoogle Scholar
  11. Foote KE, Huebner DJ (1995) Error, Accuracy and Precision. http://www.colorado.edu/geography. Accessed 28 October 2010
  12. Gruber U (2001) Using GIS for Avalanche Hazard Mapping in Switzerland. In: Proceedings of the 2001 ESRI International User Conference, July 9-13, 2001, San DiegoGoogle Scholar
  13. International Commission for Alpine Rescue (2010) Statistic—People rescued from snow avalanches—2009/2010. http://www.ikar-cisa.org. Accessed 28 October 2010
  14. Jörg P, Fromm R, Sailer R, Schaffhauser A (2006) Measuring snow depth with Terrestrial Laser ranging system. Measuring snow depth with a terrestrial laser ranging system. In: Proceedings of the International Snow Science Workshop, 1–6 October 2006, Telluride, CO, USAGoogle Scholar
  15. Kaim D, Kolecka N (2010) Zmiany pokrycia terenu w Tatrach Polskich na podstawie powtórzonej fotografii naziemnej. Pr Geogr 123:31–45Google Scholar
  16. Kraus K (1992) Photogrammetry Fundamentals and Processes. Dummler Verlag, BonnGoogle Scholar
  17. Kraus K (2007) Photogrammetry: geometry from images and laser scans. Walter de Gruyter, BerlinCrossRefGoogle Scholar
  18. Krupnik A (2003) Accuracy prediction for ortho-image generation. Photogramm Rec 18(101):41–58CrossRefGoogle Scholar
  19. Luhmann T, Robson S, Kyle S, Harley I (2006) Close Range Photogrammetry. Principles, Methods and Applications. Whittles Publishing, ScotlandGoogle Scholar
  20. Meister R, Jeller P (2009) Avalanche outline mapping with a digital GPS camera. In: Schweizer J, Van Herwijnen A (eds) International Snow Science Workshop. 27 September to 2 October 2009, Davos, Switzerland. Proceedings Swiss Federal Institute for Forest, Snow and Landscape Research, BirmensdorfGoogle Scholar
  21. Mikhail EM, Bethel JS, McGlone JC (2001) Introduction to modern photogrammetry. Wiley, New YorkGoogle Scholar
  22. Novak K (1992) Rectification of digital imagery. Photogramm Eng Remote Sens 58:339–344Google Scholar
  23. Okeke FI (2001) Review of Digital Image Orthorectification Techniques. http://www.gisdevelopment.net. Accessed 28 October 2010
  24. Prokop A (2009) Terrestrial laser scanning for snow depth observations: An update on technical developments and applications. In: Schweizer J, Van Herwijnen A (eds) International snow science workshop. 27 September to 2 October 2009, Davos, Switzerland. Proceedings Swiss Federal Institute for Forest, Snow and Landscape Research, BirmensdorfGoogle Scholar
  25. Prokop A, Schirmer M, Rub M, Lehning M, Stocker M (2008) A comparison of measurement methods: terrestrial laser scanning, tachymetry and snow probing for the determination of the spatial snow-depth distribution on slopes. Ann Glaciol 49:210–216CrossRefGoogle Scholar
  26. Sampl P, Zwinger T (2004) Avalanche simulation with SAMOS. Ann Glaciol 38:393–398CrossRefGoogle Scholar
  27. Sauermoser S, Illmer D (2002) The use of different avalanche calculation models practical experiences. In: International congress INTERPRAEVENT 2, Matsumoto, JapanGoogle Scholar
  28. Slama CC, Theurer C, Henriksen SW (1980) Manual of Photogrammetry. American Society of Photogrammetry, Falls Church, VAGoogle Scholar
  29. Vallet J (2008) High Precision LiDAR Mapping for Complex Mountain Topography. In: Hurni L, Kriz K (eds) Proceedings of the 6th ICA Mountain Cartography Workshop 11–15 February 2008, Zurich, SwitzerlandGoogle Scholar
  30. Volk G, Kleemayr K (1999) ELBA—Ein GIS-gekoppeltes Lawinensimulationsmodell. Anwendungen und Perspektiven. Österr Z Vermess Geoinf 2 + 3:84–92Google Scholar
  31. Wang J, Robinson GJ, White K (2000) Generating viewsheds without using sightlines. Photogramm Eng Remote Sens 66:87–90Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Paweł Chrustek
    • 1
    • 2
    Email author
  • Natalia Kolecka
    • 1
  • Yves Bühler
    • 3
  1. 1.Institute of Geography and Spatial ManagementJagiellonian UniversityKrakówPoland
  2. 2.Anna Pasek FoundationBędzinPoland
  3. 3.WSL Institute for Snow and Avalanche Research SLFDavosSwitzerland

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