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DIGITAL TERRAIN MODEL AND LANDFORMS CLASSIFICATION

Ruћickovб, Katerina, Ruћicka, Jan, Kukuliac, Pavel

First published: 2013-06-20https://doi.org/10.5593/sgem2013/bb2.v1/s08.013View metrics

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Publication details

Title
DIGITAL TERRAIN MODEL AND LANDFORMS CLASSIFICATION
Authors
Ruћickovб, Katerina, Ruћicka, Jan, Kukuliac, Pavel
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 13th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING
Publisher
Stef92 Technology
Year
2013
Pages
395 - 402 pp
ISSN
1314-2704
ISBN
Not available yet
Language
en
Publication type
Conference Paper
References22
  1. De Reu, J. & Bourgeois, J. & Bats, M. & Zwertvaeghe r, A. & Gelorini, V. & De Smedt, P. & Chu, W. & Antrop, M. & De Maeyer, P. & Finke, P. & Van Meirvenne, M. & Verniers, J. & Crombé, P. Application of the topographic position index to heterogeneous landscapes, Geomorphology, vol. 186, pp 39-49, 2013.

  2. MacMillan, R. A. Automated Extraction of Landforms from DEM Data. Available online at: http://www.slideshare.net/bob_Macmillan/automated-extraction-of-landforms-from- dem-data-13062121, May 24, 2012.

  3. Hengl, T. Finding the right pixel size, Computers & Geosciences, vol. 32/issue 9, pp 1283–1298 2006.

  4. Zhi, W. & Qingquan, L. & Besheng, Y. Multi-resolution representation of digital terrain models with topographical features preservation, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, China, vol. XXXVII/part B6b, 2008.

  5. Klingseisen, B. & Metternicht, G. & Paulus, G. Geomorphometric landscape analysis using a semi-automated GIS-approach, Environmental Modelling & Software, vol. 23/issue 1, pp 109– 121, 2008.

  6. Wilson, J. P. & Gallant, J. C. Terrain analysis. Principles and Applications, Wiley, Canada, pp 479, 2000, ISBN 0-471 -32-188-5. GeoConference on Informatics, Geoinformatics and Remote Sensing

  7. Hofierka, J. & Mitášová, H. & Neteler, M. Geomorphometry in GRASS GIS in Geomorphometry Concepts, Software, Applications, Developments in Soil Science, vol. 33, pp 387–410, 2009. ISBN 978-0 -12-374345-9

  8. MacMillan, R.A. & Shary, P.A. Landforms and Landform Elements in Geomorphometry Concepts, Software, Applications, Geomorphometry in Developments in Soil Science, vol. 33, pp 227– 245, 2009. ISBN 978-0-12-374345-9

  9. Morgan, J.M. & Lesh, A.M. (2005) Developing Landform maps using ESRI’S ModelBuilder. Esri International User Conference Proceedings, 11 p., 2005. Available online at: proceedings.esri.com/library/userconf/proc05/papers/pap2206.pdf

  10. Barka, I. & Vladovič, J. & Mališ, F. Landform classification and its application in predictive mapping of soil, Proceedings of Symposium GIS Ostrava 2011, pp 11, 2011. ISBN 978-80-248-2366 -9

  11. MacMillan, R. A. History and Evolution of Digital (Predictive) Soil Mapping (DSM), May 29, 2012, Available online at: http://www.slideshare.net/bob_macmillan/history-and-evolution-of-digital-predictive- soil-mapping-dsm

  12. De Reu, J. & Bourgeois, J. & Bats, M. & Zwertvaeghe r, A. & Gelorini, V. & De Smedt, P. & Chu, W. & Antrop, M. & De Maeyer, P. & Finke, P. & Van Meirvenne, M. & Verniers, J. & Crombé, P. Application of the topographic position index to heterogeneous landscapes, Geomorphology, vol. 186, pp 39-49, 2013.

  13. MacMillan, R. A. Automated Extraction of Landforms from DEM Data. Available online at: http://www.slideshare.net/bob_Macmillan/automated-extraction-of-landforms-from- dem-data-13062121, May 24, 2012.

  14. Hengl, T. Finding the right pixel size, Computers & Geosciences, vol. 32/issue 9, pp 1283–1298 2006.

  15. Zhi, W. & Qingquan, L. & Besheng, Y. Multi-resolution representation of digital terrain models with topographical features preservation, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, China, vol. XXXVII/part B6b, 2008.

  16. Klingseisen, B. & Metternicht, G. & Paulus, G. Geomorphometric landscape analysis using a semi-automated GIS-approach, Environmental Modelling & Software, vol. 23/issue 1, pp 109– 121, 2008.

  17. Wilson, J. P. & Gallant, J. C. Terrain analysis. Principles and Applications, Wiley, Canada, pp 479, 2000, ISBN 0-471 -32-188-5. GeoConference on Informatics, Geoinformatics and Remote Sensing

  18. Hofierka, J. & Mitášová, H. & Neteler, M. Geomorphometry in GRASS GIS in Geomorphometry Concepts, Software, Applications, Developments in Soil Science, vol. 33, pp 387–410, 2009. ISBN 978-0 -12-374345-9

  19. MacMillan, R.A. & Shary, P.A. Landforms and Landform Elements in Geomorphometry Concepts, Software, Applications, Geomorphometry in Developments in Soil Science, vol. 33, pp 227– 245, 2009. ISBN 978-0-12-374345-9

  20. Morgan, J.M. & Lesh, A.M. (2005) Developing Landform maps using ESRI’S ModelBuilder. Esri International User Conference Proceedings, 11 p., 2005. Available online at: proceedings.esri.com/library/userconf/proc05/papers/pap2206.pdf

  21. Barka, I. & Vladovič, J. & Mališ, F. Landform classification and its application in predictive mapping of soil, Proceedings of Symposium GIS Ostrava 2011, pp 11, 2011. ISBN 978-80-248-2366 -9

  22. MacMillan, R. A. History and Evolution of Digital (Predictive) Soil Mapping (DSM), May 29, 2012, Available online at: http://www.slideshare.net/bob_macmillan/history-and-evolution-of-digital-predictive- soil-mapping-dsm

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