مدل سازی الگوی کرنل در تشخیص لندفرم های زمین (با تأکید بر لندفرم های یخچالی و مجاور یخچالی) در محدودۀ کمربند کوهستانی البرز

بنایی، م.ح. (1372). گزارش نقشه‏برداری خاک، طبقه‏بندی و قابلیت آبیاری در اراضی واقع در جنوب رودخانة گرگان، تهران: مؤسسة تحقیقات آب و خاک ایران.

Saaty, T. and Alexander, J. 1981. Thinking with Models. Pergamon Press, Oxford.

Banaei, M.H. (1993). A report on soil survey, Land classification and irrigation capability for a region located south of the Gorgan River, Publication No 368, Tehran: Soil and water Research Institute of Iran.

Bates, R.L. and Jackson, J.A. (Eds.) (2005). Glossary of Geology, 5th edition, New York: American Geological Institute.

Burrough, P.A.; Van Gaans, P.F.M. and MacMillan, R.A. (2000). High‐resolution landform classification using fuzzy k‐means, Fuzzy Sets and Systems, 113(1): 37-52.

Burrough, P.A.; Wilson, J.P.; Van Gaans, P.F.M. and Hansen, A.J. (2001). Fuzzy k‐means classification of topo‐climatic data as an aid to forest mapping in the Greater Yellowstone Area, USA, Landscape Ecology, 16: 523-546.

Clarke, K.C. (1988). Scale‐based simulation of topographic relief, American Cartographer, 15: 173-181.

Conacher, A.J. and Dalrymple, J.B. (1977). The nine‐unit land surface model: An approach to pedogeomorphic research, Geoderma, 18: 1-154.

Dehn, M.; Gartner, H. and Dikau, R. (2001). Principles of semantic modeling of landform structures, Computers and Geosciences, 27: 1005-1010.

Deng, Y. and Wilson, J.P. (2008). Multi‐scale and multi‐criteria mapping of mountain peaks as fuzzy entities, 2008, International Journal of Geographical Information Science, 22(2): 205-218.

Dikau, R. (1989). The application of a digital relief model to landform analysis. In: Raper, J.F. (Ed.), Three Dimensional Applications in Geographical Information Systems, Taylor & Francis, London, PP. 51-77.

Dikau, R. (1990). Geomorphic landform modeling based on hierarchy theory. In: Brassel, K., Kishimoto,H. (Eds.), Proceedings of the 4th International Symposium on Spatial Data Handling, Department of Geography, University of Zürich, Zürich, Switzerland, PP. 230-239.

Dikau, R.; Brabb, E.E. and Mark, R.M. (1991). Landform Classification of New Mexico by Computer, Washington, DC: US Geological Survey Open File Report, PP. 91-364.

Dikau, R.; Brabb, E.E.; Mark, R.M. and Pike, R.J. (1995). Morphometric landform analysis of New Mexico, Zeitschrift für Geomorphologie, Suppl‐Bd, 101: 109-126.

Drǎguţ, L. and Blaschke, T. (2006). Automated classification of landform elements using object-based image analysis, Geomorphology, 81: 330-344.

Drăguţ, L. and Eisank, C. (2012). Automated object‐based classification of topography from SRTM data, Geomorphology, 141: 21-33.

Dragut, L. and Eisank, C. (2012). Object representations at multiple scales from digital elevation models, Geomorphology, 129(3-4): 183-189.

Etzelmüller, B. and Sulebak, J.S. (2000). Developments in the use of digital elevation models in periglacial geomorphology and glaciology, Physische Geographie, 41: 35-58.

Evans, I.S. (1972). General geomorphometry, derivatives of altitude, and descriptive statistics. In: Chorley, R.J. (ed.), Spatial Analysis in Geomorphology, London, UK: Harper & Row, PP. 17-90.

Fels, J.E. and Matson, K.C. (1996). A cognitively based approach for hydro-geomorphic land classification using digital terrain models, In: Proceedings of the 3rd International Conference/Workshop on Integrating GIS and Environmental Modeling, Santa Fe, NM, January 21-25, 1996, National Centre for Geographic Information and Analysis, Santa Barbara, CA, USA.

Gallant, A.L.; Douglas, D.B. and Hoffer, R.M. (2005). Automated mapping of Hammond’s landforms, IEEE Geoscience and Remote Sensing Letters, 2: 384-388.

Gerçek, D.; Toprak, V. and Strobl, J. (2011). Object-based classification of landforms based on their local geometry and geomorphometric context, International Journal of Geographical Information Science, 25(6): 1011-1023.

Guzzetti, F. and Reichenbach, P. (1994). Toward the definition of topographic divisions for Italy, Geomorphology, 11: 57-75.

Hammond, E.H. (1964). Analysis of properties in land form geography: An application to broad‐scale land form mapping, Annals of the Association of American Geographers, 54: 11-19.

Hammond, E.H. (1965). What is a landform? Some further comments, The Professional Geographer, 17(3): 12-13.

Hrvatin, M. and Perko, D. (2009). Suitability of Hammond’s method for determining landform units in Slovenia, Acta Geographica Slovenica, 49: 343-366.

Huggett, R. (1975). Soil landscape systems: A model of soil genesis, Geoderma, 13: 1-22.

Irvin, B.J.; Ventura, S.J. and Slater, B.K. (1997). Fuzzy and isodata classification of landform elements from digital terrain data in Pleasant Valley, Wisconsin, Geoderma, 77: 137-154.

Iwahashi, J. and Pike, R.J. (2007). Automated classification of topography from DEMs by an unsupervised nested-means algorithm and a three-part geometric signature, Geomorphology, 86(3): 409-440.

Jasiewicz, J. and Stepinski, T. (2013). Geomorphons - a pattern recognition approach to classification and mapping of landforms, Geomorphology, 182: 147-156.

Karagulle, D.; Frye, C.; Sayre, R.; Breyer, S.; Aniello, P.; Vaughan, R. and Wright D. (2017). Modeling global Hammond landform regions from 250‐m elevation data, Transaction in GIS, 21(5): 1040-1060.

Karagulle, D.; Frye, C.; Sayre, R.; Breyer, S.; Aniello, P.; Vaughan, R. and Wright, D. (2017). Modeling global Hammond landform regions from 250 m elevation data, Transactions in GIS, 21: 1040-1060.

Leighty, R.D. (2001). Automated IFSAR Terrain Analysis System: Final Report, U.S. Army Aviation & Missile Command, Defense Advanced Research Projects Agency (DoD) Information Sciences Office, Arlington, VA, 59 pp.

Lindsay, J.B.; Cockbum, J.M.H. and Russel, H.A.J. (2015). An integral image approach to performing multi-scale topographic position analysis, Geomorphology, 245: 51-61.

Li, Z.; Zhu, Q.; Gold, C. 1960. Digital Terain Modeling, Principles and Methodology, Taylor and Francis London.

Lloyd, C.D. and Atkinson, P.M. (1998). Scale and the spatial structure of landform: optimizing sampling strategies with geostatistics. In: Proceedings of the 3rd International Conference on GeoComputation, University of Bristol, United Kingdom, 17-19 September 1998, University of Bristol, Bristol, UK, 16 pp.

Lobeck, A.K. (1939). Geomorphology: An Introduction to the Study of Landscapes, New York: McGraw-Hill, 731 pp.

Lucieer, A.; Fisher, P. and Stein, A. (2003). Texture-based segmentation of high-resolution remotely sensed imagery for identification of fuzzy objects, In: Proceedings of the Seventh International Conference on Geocomputation, University of Southampton, Southampton, UK, 9 pp.

Mackay, D.S.; Samanta, S.; Ahl, D.E.; Ewers, B.E.; Gower, S.T. and Burrows, S.N. (2003). Automated parameterization of land surface process models using fuzzy logic, Transactions in GIS, 7: 139-153.

MacMillan, R.A. and Shary, P.A. (2009). Landforms and landform elements in geomorphometry. In: T. Hengl & H.I. Reuter (eds) Geomorphometry: Concepts, Software, Applications, PP. 227-254. Amsterdam, Netherlands: Elsevier.

MacMillan, R.A. and Shary, P.A. (2009). Landforms and landform elements in geomorphometry. In: T. Hengl., H.I., Reuter (eds) Geomorphometry: Concepts, Software, Applications, PP. 227-254. Amsterdam, Netherlands: Elsevier.

MacMillan., R.A.; Pettapiece, W.W.; Nolan., S.C. and Goddard, T.W. (2000). A generic procedure for automatically segmenting landforms into landform elements using DEMs, heuristic rules and fuzzy logic, Fuzzy Sets and Systems, 113(1): 81-109.

Meijerink, A.M.J. (1988). Data acquisition and data capture through terrain mapping units, ITC Journal, 1: 23-44.

Milne, G. (1935). Some suggested units of classification and mapping particularly for East Africa soils, Soil Research, 4: 183-198.

Mokarram, M. and Hojati, M. (2016). Landform classification using a sub-pixel spatial attraction model to increase spatial resolution of digital elevation model (DEM), The Egyptian Journal of Remote Sensing and Space Science, 21(1): 111-120.

Moore, D.M.; Lees, B.G. and Davey, S.M. (1991). A new method for predicting vegetation distributions using decision tree analysis in a geographic information system, Environmental Management, 15: 59-71.

Mulla, D.J. (1988). Using geostatistics and spectral analysis to study spatial patterns in the topography of southeastern Washington State, USA, Earth Surface Processes and Landforms, 13: 389-405.

Pennock, D.J.; Zebarth, B.J. and De Jong, E. (1987). Landform classification and soil distribution in hummocky terrain, Saskatchewan, Canada, Geoderma, 40: 297-315.

Pike, R.J. (1988). The geometric signature: quantifying landslide-terrain types from Digital Elevation Models, Mathematical Geology, 20: 491-511.

Piloyan, A. and Konečný, M. (2017). Semi-Automated Classification of Landform Elements in Armenia Based on SRTM DEM using K-Means Unsupervised Classification, Quaestiones Geographicae (The Journal of Adam Mickiewicz University), 36(1): 90-103.

Prima, O.D.A.; Echigo, A.; Yokoyama, R. and Yoshida, T. (2006). Supervised landform classification of Northeast Honshu from DEM-derived thematic maps, Geomorphology, 78(3-4): 373-386.

Rigol-Sanchez, J.P.; Stuart, N. and Pulido-Bosch, A. (2015). Arc Geomorphometry: A toolbox for geomorphometric characterization of DEMs in the ArcGIS environment, Computers and Geosciences, 85(Part A): 155-163.

Romstad, B. and Etzelmüller, B. (2009). Structuring the digital elevation model into landform elements through watershed segmentation of curvature. In: R. Purves, S., Gruber, R., Straumann & Hengl, T., (eds) Proceedings of Geomorphometry 2009, PP. 55-60. Zurich, Switzerland: University of Zurich.

Romstad, B. and Etzelmuller, B. (2012). Mean-curvature watersheds: A simple method for segmentation of a digital elevation model into terrain units, Geomorphology, 139-140: 293-302.

Ruhl, R.V. (1960). Elements of the soil landscape, In: Proceedings of the 7th Congress of the International Society of Soil Science, Madison, WI, PP. 32-40,

Ruhl, R.V. and Walker, P.H. (1968). Hillslope models and soil formation II: Open systems, In: Proceedings of the 9th Congress of the International Soil Science Society, Adelaide, Australia, PP. 551-560.

Saadat, H.; Robert, B.; Sharifi, F.; Guy, M.; Namdar, M. and Ale-Ebrahim, S. (2008). Landform classification from a digital elevation model and satellite imagery, Geomorphology, 100: 453-464.

Schmidt, J. and Dikau, R. (1999). Extracting geomorphometric attributes and objects from digital elevation models: Semantics, methods, future needs. In: Dikau, R., Saurer, H., (eds) GIS for Earth Surface Systems: Analysis an Modeling of the Natural Environment, Berlin, Germany: Schweizbart’sche Verlagbuchhandlung, PP. 153-173.

Schmidt, J. and Hewitt, A. (2004). Fuzzy land element classification from DTMs based on geometry and terrain position, Geoderma, 121(3-4): 243-256.

Schmidt, J.; Merz, B. and Dikau, R. (1998). Morphological structure and hydrological process modelling, Zeitschrift für Geomorphologie NF, 112: 55-66.

Schmidt, J.; Hennrich, K. and Dikau, R. (1998). Scales and similarities in runoff processes with respect to geomorphometry, In: Geocomputation 1998: Proceedings of the 3rd International Conference on GeoComputation, University of Bristol, United Kingdom, 17-19 September 1998, University of Bristol, Bristol, UK, 20 pp.

Schneevoigt, N.J.; Sebastian, V.D.L.; Thamm, H.P. and Schrott, L. (2008). Detecting Alpine landforms from remotely sensed imagery, a pilot study in the Bavarian Alps, Geomorphology, 93: 104-119.

Shary, P.A. (1995). Land surface in gravity points classification by complete system of curvatures, Mathematical Geology, 27: 373-390.

Shary, P.A.; Sharaya, L.S. and Mitusov, A.V. (2002). Fundamental quantitative methods of land surface analysis, Geoderma, 107: 1-32.

Shary, P.A.; Sharaya, L.S. and Mitusov, A.V. (2005). The problem of scale‐specific scale-free approaches in geomorphometry, Geografia Fisica e Dimanica Quaternaria, 28: 81-101.

Skidmore, A.K.; Ryan, P.J.; Dawes, W.; Short, D. and O’Loughlin, E. (1991). Use of an expert system to map forest soils from a geographical information system, International Journal of Geographical Information Systems, 5: 431-444.

Speight, J.G. (1968). Parametric description of land form, In: Stewart, G.A., (ed.), Land Evaluation: Papers of a CSIRO Symposium, Melbourne, Australia, PP. 239-250.

Speight, J.G. (1990). Landforms, In: MacDonald, R.C., Isbell, R.F., Speight, J.G., Walker, J., Hop, M.S., (eds) Australian Soil and Land Survey Field Handbook, PP. 9-57. Melbourne, Australia: Inkata Press.

Summerfield, M.A. (1991). Global Geomorphology. London: Longman.

Suryana, N. and de Hoop, S. (1994). Hierarchical structuring of terrain mapping units. In: Proceedings of the Fifth European Conference and Exhibition on Geographic Information Systems, EGIS 94, EGIS Foundation, Utrecht, The Netherlands, 1: 869-877.

Tadono, T.; Ishida, H.; Oda, F.; Naito, S.; Minakawa, K. and Iwamoto, H. (2014). Precise Global DEM Generation by ALOS PRISM, ISPRS Annals of the Photogrammetry, Journal of Remote Sensing and Spatial Information Sciences, 2(4): 71-76.

Takaku, J.; Tadono, T. and Tsutsui, K. (2014). Generation of High Resolution Global DSM from ALOS PRISM, The International Archives of the Photogrammetry, Journal of Remote Sensing and Spatial Information Sciences, XL(4): 243-248.

Tomer, M.D. and Anderson, J.L. (1995). Variation in soil water storage across a sand plain hillslope, Soil Science Society of America Proceedings, 54: 1091-1100.

Tribe, A. (1992). Automated recognition of valley lines and drainage networks from grid digital elevation models: a review and a new method, Journal of Hydrology, 139(1-4): 263-293.

Weaver, G.D. (1965). What is a landform?, The Professional Geographer, 17(1): 11-13.

Webster, R. and Oliver, M.A. (2001). Geostatistics for Environmental Scientists, Statistics in Practice, Wiley, Chichester, 265 pp.

Weibel, R. and DeLotto, J.S. (1988). Automated terrain classification for GIS modeling, In: Proceedings of GIS/LIS, San Antonio, NM, PP. 618-627.