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Volumn 110, Issue 3-4, 2009, Pages 152-161

Quantification of spatial gradation of slope positions

Author keywords

Fuzzy membership; Grid DEM; Prototype; Similarity; Slope position; Spatial gradation

Indexed keywords

DIGITAL ELEVATION MODEL; DIGITAL MAPPING; FUZZY MATHEMATICS; GEOMORPHOLOGICAL MAPPING; SLOPE DYNAMICS; SPATIAL ANALYSIS; TERRAIN;

EID: 67651121710     PISSN: 0169555X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geomorph.2009.04.003     Document Type: Article
Times cited : (61)

References (36)
  • 1
    • 34748878873 scopus 로고    scopus 로고
    • A fuzzy c-means classification of elevation derivatives to extract the morphometric classification of landforms in Snowdonia, Wales
    • Arrell K.E., Fisher P.F., Tate N.J., and Bastin L. A fuzzy c-means classification of elevation derivatives to extract the morphometric classification of landforms in Snowdonia, Wales. Computers & Geosciences 33 (2007) 1366-1381
    • (2007) Computers & Geosciences , vol.33 , pp. 1366-1381
    • Arrell, K.E.1    Fisher, P.F.2    Tate, N.J.3    Bastin, L.4
  • 3
    • 0030620491 scopus 로고    scopus 로고
    • Landform characterization with Geographic Information Systems
    • Blaszczynski J.S. Landform characterization with Geographic Information Systems. Photogrammetric Engineering and Remote Sensing 63 2 (1997) 183-191
    • (1997) Photogrammetric Engineering and Remote Sensing , vol.63 , Issue.2 , pp. 183-191
    • Blaszczynski, J.S.1
  • 4
    • 0031954356 scopus 로고    scopus 로고
    • Soil-landscape modeling using fuzzy c-means clustering of attribute data derived from a Digital Elevation Model (DEM)
    • de Bruin S., and Stein A. Soil-landscape modeling using fuzzy c-means clustering of attribute data derived from a Digital Elevation Model (DEM). Geoderma 83 (1998) 17-33
    • (1998) Geoderma , vol.83 , pp. 17-33
    • de Bruin, S.1    Stein, A.2
  • 5
    • 0024823719 scopus 로고
    • Fuzzy mathematical methods for soil survey and land evaluation
    • Burrough P. Fuzzy mathematical methods for soil survey and land evaluation. Journal of Soil Science 40 (1989) 477-492
    • (1989) Journal of Soil Science , vol.40 , pp. 477-492
    • Burrough, P.1
  • 6
    • 0033731263 scopus 로고    scopus 로고
    • High-resolution landform classification using fuzzy k-means
    • Burrough P., van Gaans P., and MacMillan R. High-resolution landform classification using fuzzy k-means. Fuzzy Sets and Systems 113 (2000) 37-52
    • (2000) Fuzzy Sets and Systems , vol.113 , pp. 37-52
    • Burrough, P.1    van Gaans, P.2    MacMillan, R.3
  • 7
    • 0035209212 scopus 로고    scopus 로고
    • Fuzzy k-means classification of topo-climatic data as an aid to forest mapping in the Great Yellowstone Area, USA
    • Burrough P., Wilson J., van Gaans P., and Hansen A. Fuzzy k-means classification of topo-climatic data as an aid to forest mapping in the Great Yellowstone Area, USA. Landscape Ecology 16 (2001) 523-546
    • (2001) Landscape Ecology , vol.16 , pp. 523-546
    • Burrough, P.1    Wilson, J.2    van Gaans, P.3    Hansen, A.4
  • 8
    • 0001906803 scopus 로고
    • The nine unit landsurface model: an approach to pedogeomorphic research
    • Conacher A.J., and Dalrymple J.B. The nine unit landsurface model: an approach to pedogeomorphic research. Geoderma 18 (1977) 1-154
    • (1977) Geoderma , vol.18 , pp. 1-154
    • Conacher, A.J.1    Dalrymple, J.B.2
  • 9
    • 34848842726 scopus 로고    scopus 로고
    • New trends in digital terrain analysis: landform definition, representation, and classification
    • Deng Y. New trends in digital terrain analysis: landform definition, representation, and classification. Progress in Physical Geography 31 (2007) 405-419
    • (2007) Progress in Physical Geography , vol.31 , pp. 405-419
    • Deng, Y.1
  • 10
    • 0024798410 scopus 로고
    • The application of a digital relief model to landform analysis
    • Raper J.F. (Ed), Taylor and Francis, London
    • Dikau R. The application of a digital relief model to landform analysis. In: Raper J.F. (Ed). Three dimensional applications in Geographical Information Systems (1989), Taylor and Francis, London 51-77
    • (1989) Three dimensional applications in Geographical Information Systems , pp. 51-77
    • Dikau, R.1
  • 11
    • 33750482956 scopus 로고    scopus 로고
    • Automated classification of landform elements using object-based image analysis
    • Dragut L., and Blaschke T. Automated classification of landform elements using object-based image analysis. Geomorphology 81 (2006) 330-344
    • (2006) Geomorphology , vol.81 , pp. 330-344
    • Dragut, L.1    Blaschke, T.2
  • 12
  • 13
    • 0030619890 scopus 로고    scopus 로고
    • Fuzzy and isodata classification of landform elements from digital terrain data in Pleasant Valley, Wisconsin
    • Irvin B., Ventura S., and Slater B. Fuzzy and isodata classification of landform elements from digital terrain data in Pleasant Valley, Wisconsin. Geoderma 77 (1997) 137-154
    • (1997) Geoderma , vol.77 , pp. 137-154
    • Irvin, B.1    Ventura, S.2    Slater, B.3
  • 14
    • 0033730612 scopus 로고    scopus 로고
    • A generic procedure for automatically segmenting landforms into landform elements using DEMs, heuristic rules and fuzzy logic
    • MacMillan R., Pettapiece W., Nolan S., and Goddard T. A generic procedure for automatically segmenting landforms into landform elements using DEMs, heuristic rules and fuzzy logic. Fuzzy Sets and Systems 113 (2000) 81-109
    • (2000) Fuzzy Sets and Systems , vol.113 , pp. 81-109
    • MacMillan, R.1    Pettapiece, W.2    Nolan, S.3    Goddard, T.4
  • 15
    • 85047681488 scopus 로고    scopus 로고
    • Prototypes in category learning: the effects of category size, category structure, and stimulus complexity
    • Minda J., and Smith J. Prototypes in category learning: the effects of category size, category structure, and stimulus complexity. Journal of Experimental Psychology: Learning, Memory, and Cognition 27 (2001) 775-799
    • (2001) Journal of Experimental Psychology: Learning, Memory, and Cognition , vol.27 , pp. 775-799
    • Minda, J.1    Smith, J.2
  • 17
    • 0023486353 scopus 로고
    • Landform classification and soil distribution in hummocky terrain, Saskatchewan, Canada
    • Pennock D., Zebarth B., and de Jone E. Landform classification and soil distribution in hummocky terrain, Saskatchewan, Canada. Geoderma 40 (1987) 297-315
    • (1987) Geoderma , vol.40 , pp. 297-315
    • Pennock, D.1    Zebarth, B.2    de Jone, E.3
  • 18
    • 0001355180 scopus 로고
    • Detection of surface specific points by local parallel processing of discrete terrain elevation data
    • Peucker T., and Douglas D. Detection of surface specific points by local parallel processing of discrete terrain elevation data. Computer Graphics and Image Processing 4 (1975) 375-387
    • (1975) Computer Graphics and Image Processing , vol.4 , pp. 375-387
    • Peucker, T.1    Douglas, D.2
  • 19
    • 33751250473 scopus 로고    scopus 로고
    • Fuzzy soil mapping based on prototype category theory
    • Qi F., Zhu A.-X., Harrower M., and Burt J.E. Fuzzy soil mapping based on prototype category theory. Geoderma 136 (2006) 774-787
    • (2006) Geoderma , vol.136 , pp. 774-787
    • Qi, F.1    Zhu, A.-X.2    Harrower, M.3    Burt, J.E.4
  • 20
  • 22
    • 3042808594 scopus 로고    scopus 로고
    • Fuzzy land element classification from DTMs based on geometry and terrain position
    • Schmidt J., and Hewitt A. Fuzzy land element classification from DTMs based on geometry and terrain position. Geoderma 121 (2004) 243-256
    • (2004) Geoderma , vol.121 , pp. 243-256
    • Schmidt, J.1    Hewitt, A.2
  • 23
    • 0036233617 scopus 로고    scopus 로고
    • Fundamental quantitative methods of land surface analysis
    • Shary P., Sharaya L., and Mitusov A. Fundamental quantitative methods of land surface analysis. Geoderma 107 (2002) 1-32
    • (2002) Geoderma , vol.107 , pp. 1-32
    • Shary, P.1    Sharaya, L.2    Mitusov, A.3
  • 25
    • 84895369800 scopus 로고    scopus 로고
    • Fuzzy representation of special terrain features using a similarity-based approach
    • Cobb M., Petry F., and Robinson V. (Eds), Springer-Verlag, New York
    • Shi X., Zhu A.-X., and Wang R.-X. Fuzzy representation of special terrain features using a similarity-based approach. In: Cobb M., Petry F., and Robinson V. (Eds). Fuzzy Modeling with Spatial Information for Geographic Problems (2005), Springer-Verlag, New York 233-251
    • (2005) Fuzzy Modeling with Spatial Information for Geographic Problems , pp. 233-251
    • Shi, X.1    Zhu, A.-X.2    Wang, R.-X.3
  • 27
    • 0006077845 scopus 로고
    • Landform
    • McDonald R.C., Isbell R.F., Speight J.G., Walker J., and Hopkins M.S. (Eds), Inkata Press, Melbourne
    • Speight J.G. Landform. In: McDonald R.C., Isbell R.F., Speight J.G., Walker J., and Hopkins M.S. (Eds). Australian Soil and Land Survey Field Handbook. (2nd edition) (1990), Inkata Press, Melbourne 9-57
    • (1990) Australian Soil and Land Survey Field Handbook. (2nd edition) , pp. 9-57
    • Speight, J.G.1
  • 29
    • 0004067895 scopus 로고
    • Oliver & Boyd, Edinburgh pp. 288
    • Young A. Slopes (1972), Oliver & Boyd, Edinburgh pp. 288
    • (1972) Slopes
    • Young, A.1
  • 31
    • 0030616393 scopus 로고    scopus 로고
    • A similarity model for representing soil spatial information
    • Zhu A.-X. A similarity model for representing soil spatial information. Geoderma 77 (1997) 217-242
    • (1997) Geoderma , vol.77 , pp. 217-242
    • Zhu, A.-X.1
  • 32
    • 0028739325 scopus 로고
    • A knowledge-based approach to data integration for soil mapping
    • Zhu A.-X., and Band L. A knowledge-based approach to data integration for soil mapping. Canadian Journal of Remote Sensing 20 (1994) 408-418
    • (1994) Canadian Journal of Remote Sensing , vol.20 , pp. 408-418
    • Zhu, A.-X.1    Band, L.2
  • 35
    • 67651116293 scopus 로고    scopus 로고
    • Construction of quantitative relationships between soil and environment using fuzzy c-means clustering
    • in press
    • Zhu, A.-X., Yang, L., Li, B.-L., Qin, C.-Z., Pei, T., Liu, B.-Y., in press. Construction of quantitative relationships between soil and environment using fuzzy c-means clustering. Geoderma.
    • Geoderma
    • Zhu, A.-X.1    Yang, L.2    Li, B.-L.3    Qin, C.-Z.4    Pei, T.5    Liu, B.-Y.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.