Object-based classification of landforms based on their local geometry and geomorphometric context

International Journal of Geographical Information Science

Volumn 25, Issue 6, 2011, Pages 1011-1023

  Gerçek, Deniz ^a   Toprak, Vedat ^a   Stroblc, Josef ^b,c  

^a MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

^b UNIVERSITY OF SALZBURG   (Austria)

^c ERICH SCHMID INSTITUTE OF MATERIALS SCIENCE   (Austria)

Author keywords

Dtms; Fuzzy classification; General geomorphometry; Landforms; Obia; Terrain

Indexed keywords

BOUNDARY CONDITION; DIGITAL TERRAIN MODEL; FUZZY MATHEMATICS; GEOMORPHOLOGICAL MAPPING; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LAND SURFACE; LANDFORM; TERRAIN;

EID: 79960678349     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658816.2011.558845     Document Type: Article

References (32)

1. Baatz, M. and Schäpe, A., 2000. Multiresolution segmentation - an optimization approach for high quality multiscale image segmentation. In: J. Strobl, T. Blaschke, and G. Griesebner, eds. Angewandte Geographische Informationsverarbeitung XII. Heidelberg: Wichmann, 12-23.
2. Barringer, J.R.F., et al., 2008. National mapping of landform elements in support of S-map, a New Zealand soils database. In: Q. Zhou, B. Lees, and G. Tang, eds. Advances in digital terrain analysis. Berlin: Springer, 443-458.
3. Blaschke, T., Conradi, M., and Lang, S., 2001. Multi-scale image analysis for ecological monitoring of heterogeneous, small structured landscapes. In: Proceedings of SPIE, Toulouse, 35-44.
4. Dehn, M., Gartner, H., and Dikau, R., 2001. Principles of semantic modeling of landform structures. Computers and Geosciences, 27, 1005-1010.
5. Dikau, R., 1989. The application of a digital relief model to landform analysis. In: J.F. Raper, ed. Three dimensional applications in geographic information systems. London: Taylor and Francis, 51-77.
6. Dřagu̧t, L. and Blaschke, T., 2006. Automated classification of landform elements using object-based image analysis. Geomorphology, 81, 330-344.
7. Dřagu̧t, L., Tiede, D., and Levick, S.L., 2010. ESP: a tool for estimating the scale parameter for multiresolution image segmentation of remotely sensed data. International Journal of Geographical Information Science, 24 (6), 859-871.
8. Evans, I.S., 1972. General geomorphometry, derivatives of altitude and descriptive statistics. In: R.J. Chorley, ed. Spatial analysis in geomorphology. London: Harper & Row, 17-90.
9. Fisher, P., Wood, J., and Cheng, T., 2004. Where is Helvellyn? Fuzziness of multi-scale landscape morphometry, Transactions of the Institute of British Geographers, 29, 106-128.
10. Giles, P.T., 1998. Geomorphological signatures: classification of aggregated slope unit objects from digital elevation and remote sensing data. Earth Surface Processes and Landforms, 23, 581-594.
11. Hutchinson, M.F., 1989. A new procedure for gridding elevation and stream line data with automatic removal of spurious pits. Journal of Hydrology, 106, 211-232.
12. Macmillan, R., et al., 2000. A generic procedure automatically segmenting landforms into landform elements using DEMs, heuristic rules and fuzzy logic. Fuzzy Sets and Systems, 113, 81-109.
13. MacMillan, R.A., Moon, D.E., and Coupé, R.A., 2007. Automated predictive ecological mapping in a Forest Region of B.C., Canada. Geoderma, 140, 353-373.
14. MacMillan, R.A. and Shary, P.A., 2009. Landforms and landform elements in geomorphometry. In: T. Hengl and H.I. Reuter, eds. Geomorphometry-concepts, software, applications. Developments in soil science. Amsterdam: Elsevier, 33, 227-254.
15. Moore, I.D., et al., 1993. Soil attribute prediction using terrain analysis. Soil Science Society of America Journal, 57, 443-452.
16. Peucker, T.K. and Douglas, D.H., 1974. Detection of surface specific points by local parallel processing of discrete terrain elevation data. Computer Graphics and Image Processing, 4, 375-387.
17. Pike, R.J., 2002. A bibliography of terrain modelling (geomorphometry), the quantitative representation of topography - supplement 4.0. Denver: U.S. Geological Survey, Open-File Report no. 02-465, 116.
18. Pike, R.J., Evans, I.S., and Hengl, T., 2009. Geomorphometry: a brief guide. In: T. Hengl and H.I. Reuter, eds. Geomorphometry-concepts, software, applications. Developments in soil science. Amsterdam: Elsevier, 33, 3-30.
19. Reuter, H.I., Wendroth, O., and Kersebaum, K.C., 2006. Optimisation of relief classification for different levels of generalisation. Geomorphology, 77, 79-89.
20. Ruhe, R.V., 1975. Geomorphology-geomorphic processes and surficial geology. Boston, MA: Houghton-Miflin, 246.
21. Schmidt, J. and Andrew, R., 2005. Multi-scale landform characterization. Area, 37, 341-350.
22. Schmidt, J. and Hewitt, A., 2004. Fuzzy land element classification from DTMs based on geometry and terrain position. Geoderma, 121, 243-256.
23. Skidmore, A.K., et al., 1996. An operational GIS expert system for mapping forest soils. Photogrammetric Engineering and Remote Sensing, 62, 501-511.
24. Strobl, J., 2008. Segmentation-based terrain classification. In: Q. Zhou, B. Lees, and G. Tang, eds. Advances in digital terrain analysis. Berlin, Heidelberg: Springer-Verlag, 125-141.
25. Van Asselen, S. and Seijmonsbergen, A.C., 2006. Expert-driven semi-automated geomorphological mapping for a mountainous area using a laser DTM. Geomorphology, 78, 309-320.
26. Van Westen, C., 1993. Gissiz, Training Package for Geographic Information Systems in Slope Instability Zonation. Enschede, The Netherlands: ITC, ITC Publication No. 15, 245.
27. Walker, J. and Blaschke, T., 2008. Object-based landcover classification for the Phoenix metropolitan area: optimization vs. transportability. International Journal of Remote Sensing, 29, 2021-2040.
28. Williamson, T., 1994. Vagueness. Routledge: London.
29. Wolf, G.W., 1988. Weighted surface networks and their application to cartographic generalisation. In: W. Barth, ed. Visualisierungstechniken und Algorithmen. Berlin: Springer-Verlag, 199-212.
30. Wood, J.D., 1996. The geomorphological characterization of digital elevation models. Thesis (PhD). University of Leicester, Leicester, UK.
31. Wood, J.D., 2009. Geomorphometry in LandSerf. In: T. Hengl and H.I. Reuter, eds. Geomorphometry-concepts, software, applications. Developments in soil science. Amsterdam: Elsevier, 33, 333-349.
32. Woodcock, C. and Strahler, A., 1987. The factor of scale in remote sensing. Remote Sensing of Environment, 21, 311-332.