[1] Abdul Ali Zadeh, Z.(2010). Study of changes in the surface of the land over the past three decades and the prediction of the future situation in Sabzkouh province. Master's Degree, Faculty of Natural Resources, Shahrekord University.
[2] Asadi Borujeni, A. (1990). An Investigation of the Ecology of Vegetation Communities in Sabzkouh Region of Chaharmahal & Bakhtiari Province with regard to Soil and Geomorphology Units. Master thesis, Faculty of Natural Resources, Tarbiat Modarres University.
[3] Azarnivand, H. (1989). Study of vegetation and soil in relation to geomorphologic units in Damghan. Master thesis of Rangeland, Faculty of Natural Resources, Tarbiat Modarres University
[4] Blackard, J.A. and Dean, D.J. (1999). Comparative accuracies of artificial neural networks and discriminant analysis in predicting forest cover types from cartographic variables. Computers and Electronics in Agriculture, 24, 131-151.
[5] Blesius, L.and Weirich, F. (2005). The use of the minnaert correction for land-cover classification in mountainous terrain. International Journal of Remote Sensing, 26, 3831–3851.
[6] Brown, D.G. (1994). Predicting vegetation types at treeline using topography and biophysical disturbance variables. Journal of Vegetation Science, 5,642-656.
[7] Burke, A. (2001). Classification and ordination of plant communities of the Nauklaft mountain, Namibia. Journal of Vegetation Science, 12, 53-60.
[8] Clements, F.E. (1916). Plant succession: an analysis of the development of vegetation. Carnegie Institute, Publication242, Washington, D.C.
[9] Consulting company Warzbum. (2002). Management Plan for Sabzkouh Protected Area. Environmental Protection Agency
[10] DorrenL, K. A., Maier, B.and Seijmonsbergen, A.C. (2003). Improved Landsat-based forest mapping in steep mountainous terrain using object-based classification. Forest Ecology Management, 183, 31–46.
[11] Ematati Noush Abadi, A.( 1994). Geobetonic study of watershed of Cham Rud Kashan. Master thesis of Rangeland, Faculty of Natural Resources, University of Tehran
[12] Franklin, J., McCullough, P. and Gray, C. (2000). Terrain variables used for predictive mapping of vegetation communities in Southern California. In Terrain Analysis: Principles and Applications, Wilson J.P.and Gallant J.C. (Eds.), John Wiley and Sons, New York.
[13] Giti, A., Ahmadi, H., Mashhadi, N. and Reyahi, A.( 2001). A Survey and Comparison of Geomorphologic Facies Boundary Adaptation and Land Unit Components with Vegetation Type Borders, Case Study of Watershed Ardehal Mashhad. Journal of Natural Resources, Volume 54 (Issue 2)
[14] Guisan, A. and Zimmermann, N.E. (2000). Predictive habitat distribution models in ecology. Ecological Modelling, 135,147–186
[15] Jafarian Jaludar, Z. (2003). Preparation of vegetation map with two geomorphologic and physiographic units. Master thesis of Rangeland, Faculty of Natural Resources, University of Tehran.
[16] Javanshir, K. (1986). Vegetation Study and Park Mapping, Khajir and Sorkhe Hesar Parking Design
[17] Kessell, S.R. (1976). Gradient modeling: a new approach to fite modeling and wilderness resource management. Enviromental Management, 1, 39-48.
[18] Kilpelainen, P. and Tokola, T. (1999). Gain to be achieved from stand delineation in LANDSAT TM image-based estimates of stand volume. Forest Ecology and Management, 124,105-111.
[19] Levine, E.R., Kimes, D.S. and Sigillito, V.G. (1996). Classifying soil structure using neural networks. Ecological modelling, 92,101–108.
[20] Moshaver 1 company. (2000). Comprehensive Plan for the Recovery and Development of Agriculture and Natural Resources in Chaharmahal va Bakhtiari Province
[21] Paruelo, J.M. and Tomasel, F. (1997). Prediction of functional characteristics of ecosystems: a comparison of artificial neural networks and regression models. Ecological modelling, 98,173-186.
[22] Reddy, M. B. and Blah, B. (2009). Topographic normalization of satellite imagery for image classification in northeast India. Progress in Physical Geography, 33(6), 815-836.
[23] Roy, P.S., Ranganath, B.K., Diwakar, P.G., Vohra, T.P.S., Bhan, S.K. and Singh, I.J. (1991). Tropical forest type mapping and monitoring using remote sensing. International Journal of Remote Sensing, 12, 2205-2228.
[24] Saha, A.K. Arora, M.K., Csaplovics, E. and Gupta, R.P. (2005). Land Cover Classification Using IRS LISS III Image and DEM in a Rugged Terrain: A Case Study in Himalayas. Geocarto International, 20(2), 33-40.
[25] Tan, S.S.and Smeins, F.E. (1996). Predicting grassland community changes with an artificial neural network model. Ecological modelling, 84, 91–97.
[26] Tokola, T. Sarkeala, J.and Van der Linden, M. (2001). Use of topographic correction in Landsat TM-based forest interpretation in Nepal. International Journal of Remote Sensing, 22,551–563.
[27] Welch, R., Madden, M. and Jordan, T. (2002). Photogrammetric and GIS techniques for the development of vegetation databases of mountainous areas: Great Smoky Mountains National Park. ISPRS Journal of Photogrammetry and Remote Sensing, 57, 53– 68.
[28] Whittaker, R.H. (1991). A criticism of the plant association and climatic climax concepts. Northwest Scientist, 25, 17-31.
[29] Woodcock, C.E., Collins, J.B., Gopal, S., Jakabhazy, V.D. Li X., and Macomber, S. (1994). Mapping forest vegetation using Landsat TM imagery and a canopy reflectance model. Remote Sensing of Environment, 50,
240-254.
[30] Wulder, M.A., Dechka, J.A., Gillis, M.A., Luther, J.E., Hall, R.J. and Beaudoin, A. (2003). Operational mapping of the land cover of the forested area of Canada with Landsat data, EOSD land cover program. Forestry Chronicle, 79, 1075-1083.