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THE COMPARISON OF SPATIAL INTERPOLATION METHODS IN APPLICATION TO THE CONSTRUCTION OF DIGITAL TERRAIN MODELS

Cichocinski, Piotr, Basista, Izabela

First published: 2013-06-20https://doi.org/10.5593/sgem2013/bb2.v1/s11.045View metrics

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Publication details

Title
THE COMPARISON OF SPATIAL INTERPOLATION METHODS IN APPLICATION TO THE CONSTRUCTION OF DIGITAL TERRAIN MODELS
Authors
Cichocinski, Piotr, Basista, Izabela
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 13th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING
Publisher
Stef92 Technology
Year
2013
Pages
959 - 966 pp
ISSN
1314-2704
ISBN
Not available yet
Language
en
Publication type
Conference Paper
References40

  1. CARRARA A. & BITELLI G. & ROBERTO CARLA R. Comparison of techniques for generating digital terrain models from contour lines, International Journal of Geographical Information Science, 11:5 (1997), 451-473.

  2. Donato G. & Belongie S. Approximation Methods for Thin Plate Spline Mappings and Principal Warps. In Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (Eds.): 'Computer Vision - ECCV 2002: 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002', Proceedings, Part III, Lecture Notes in Computer Science. Springer-Verlag Heidelberg; pp.21-31.

  3. Elonen, J. Thin Plate Spline editor – an example program in C++. http://elonen.iki.fi/code/tpsdemo/index.html, 2005.

  4. Esri. ArcGIS Desktop 10 Help. 2011.

  5. Godone D. & Garnero G. The role of morphometric parameters in Digital Terrain Models interpolation accuracy: a case study. European Journal of Remote Sensing – 2013, 46: 198-214.

  6. GRASS Development Team. Geographic Resources Analysis Support System (GRASS GIS) Software. Open Source Geospatial Foundation Project. http://grass.osgeo.org, 2012.

  7. Holmes K.W. & Chadwick O.A. & Kyriakidis P.C. Error in a USGS 30-meter digital elevation model and its impact on terrain modeling Journal of Hydrology 233 (2000) 154-173.

  8. Hutchinson M.F. ANUDEM VERSION 5.3 USER GUIDE. Australian National University, 2011.

  9. ISO 3534-1:2006 Statistics – Vocabulary and symbols – Part 1: General statistical terms and terms used in probability.

  10. ISO 19114: 2005 Geographic information – Quality evaluation procedures GeoConference on Informatics, Geoinformatics and Remote Sensing

  11. JCGM 200:2012 International vocabulary of metrology – Basic and general concepts and associated terms (VIM).

  12. Lee S. & Wolberg G. & Shin S.Y. Scattered Data Interpolation with Multilevel B- Splines. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, VOL. 3, NO. 3, JULY–SEPTEMBER 1997.

  13. Mitasova H. & Mitas L. Interpolation by Regularized Spline with Tension: I. Theory and Implementation. Mathematical Geology, 25 (1993), 641-655.

  14. Oksanen J. & Jaakkola O. Computing and Visualizing Morphologically Sound DEMs in a Raster Environment. In: Proceedings of the 19th ICA/ACI Conference, Ottawa, 1999.

  15. Thibault D. & Gold C.M. Terrain reconstruction from contours by skeleton construction. GeoInformatica 4.4 (2000): 349-373.

  16. Thompson J.A. & Bell J.C. & Butler C.A. Digital elevation model resolution: effects on terrain attribute calculation and quantitative soil-landscape modeling. Geoderma 100 (2001) 67–89.

  17. Warren S.D. & Hohmann M.G. & Auerswald K. & Mitasova H. An evaluation of methods to determine slope using digital elevation data. Catena 58 (2004) 215– 233.

  18. Wise S.M. Effect of differing DEM creation methods on the results from a hydrological model. Computers & Geosciences 33 (2007) 1351–1365.

  19. Yang Q. & McVicar T.R. & Van Niel T.G. & Hutchinson M.F. & Li L. & Zhang X. Improving a digital elevation model by reducing source data errors and optimising interpolation algorithm parameters: An example in the Loess Plateau, China. International Journal of Applied Earth Observation and Geoinformation 9 (2007) 235 – 246.

  20. Zhang W. & Montgomery D.R. Digital elevation model grid size, landscape representation, and hydrologic simulations. WATER RESOURCES RESEARCH, VOL. 30, NO. 4, PAGES 1019-1028, APRIL 1994.

  21. CARRARA A. & BITELLI G. & ROBERTO CARLA R. Comparison of techniques for generating digital terrain models from contour lines, International Journal of Geographical Information Science, 11:5 (1997), 451-473.

  22. Donato G. & Belongie S. Approximation Methods for Thin Plate Spline Mappings and Principal Warps. In Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (Eds.): 'Computer Vision - ECCV 2002: 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002', Proceedings, Part III, Lecture Notes in Computer Science. Springer-Verlag Heidelberg; pp.21-31.

  23. Elonen, J. Thin Plate Spline editor – an example program in C++. http://elonen.iki.fi/code/tpsdemo/index.html, 2005.

  24. Esri. ArcGIS Desktop 10 Help. 2011.

  25. Godone D. & Garnero G. The role of morphometric parameters in Digital Terrain Models interpolation accuracy: a case study. European Journal of Remote Sensing – 2013, 46: 198-214.

  26. GRASS Development Team. Geographic Resources Analysis Support System (GRASS GIS) Software. Open Source Geospatial Foundation Project. http://grass.osgeo.org, 2012.

  27. Holmes K.W. & Chadwick O.A. & Kyriakidis P.C. Error in a USGS 30-meter digital elevation model and its impact on terrain modeling Journal of Hydrology 233 (2000) 154-173.

  28. Hutchinson M.F. ANUDEM VERSION 5.3 USER GUIDE. Australian National University, 2011.

  29. ISO 3534-1:2006 Statistics – Vocabulary and symbols – Part 1: General statistical terms and terms used in probability.

  30. ISO 19114: 2005 Geographic information – Quality evaluation procedures GeoConference on Informatics, Geoinformatics and Remote Sensing

  31. JCGM 200:2012 International vocabulary of metrology – Basic and general concepts and associated terms (VIM).

  32. Lee S. & Wolberg G. & Shin S.Y. Scattered Data Interpolation with Multilevel B- Splines. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, VOL. 3, NO. 3, JULY–SEPTEMBER 1997.

  33. Mitasova H. & Mitas L. Interpolation by Regularized Spline with Tension: I. Theory and Implementation. Mathematical Geology, 25 (1993), 641-655.

  34. Oksanen J. & Jaakkola O. Computing and Visualizing Morphologically Sound DEMs in a Raster Environment. In: Proceedings of the 19th ICA/ACI Conference, Ottawa, 1999.

  35. Thibault D. & Gold C.M. Terrain reconstruction from contours by skeleton construction. GeoInformatica 4.4 (2000): 349-373.

  36. Thompson J.A. & Bell J.C. & Butler C.A. Digital elevation model resolution: effects on terrain attribute calculation and quantitative soil-landscape modeling. Geoderma 100 (2001) 67–89.

  37. Warren S.D. & Hohmann M.G. & Auerswald K. & Mitasova H. An evaluation of methods to determine slope using digital elevation data. Catena 58 (2004) 215– 233.

  38. Wise S.M. Effect of differing DEM creation methods on the results from a hydrological model. Computers & Geosciences 33 (2007) 1351–1365.

  39. Yang Q. & McVicar T.R. & Van Niel T.G. & Hutchinson M.F. & Li L. & Zhang X. Improving a digital elevation model by reducing source data errors and optimising interpolation algorithm parameters: An example in the Loess Plateau, China. International Journal of Applied Earth Observation and Geoinformation 9 (2007) 235 – 246.

  40. Zhang W. & Montgomery D.R. Digital elevation model grid size, landscape representation, and hydrologic simulations. WATER RESOURCES RESEARCH, VOL. 30, NO. 4, PAGES 1019-1028, APRIL 1994.

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