Applications in geomorphology

Developments in Soil Science

Volumn 33, Issue C, 2009, Pages 497-525

  Evans, I S ^a   Hengl, T ^a   Gorsevski, P ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77955800724     PISSN: 01660918     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0166-2481(08)00022-6     Document Type: Book

References (7)

1. Iwahashi, J., Pike, R.J., 2007. Automated classifications of topography from DEMs by an unsupervised nested-means algorithm and a three-part geometric signature. Geomorphology 86 (3-4), 409-440.
2. Fisher, P.F., Wood, J., Cheng, T., 2005. Fuzziness and ambiguity in multi-scale analysis of landscape morphometry. In: Petry, F.E., Robinson, V.B., Cobb, M.A. (Eds.), Fuzzy Modeling with Spatial Information for Geographic Problems. Springer-Verlag, Berlin, pp. 209-232.
3. Gorsevski, P.V., Gessler, P.E., Jankowski, P., 2003. Integrating a fuzzy k-means classification and a Bayesian approach for spatial prediction of landslide hazard. Journal of Geographical Systems 5 (3), 223-251.
4. Goudie, A.S., 2004. Encyclopedia of Geomorphology, vols. 1 & 2. Routledge, London, 1184 pp.
5. Burrough, P.A., van Gaans, P.F.M., MacMillan, R.A., 2000. High-resolution landform classification using fuzzy k-means. Fuzzy Sets and Systems 113, 37-52.
6. Lane, S.N., Richards, K.S., Chandler, J.H., 1998. Landform Monitoring, Modelling and Analysis.Wiley, 466 pp.
7. http://disc.gsfc.nasa.gov/geomorphology/-Geomorphology from space (online manual).