ریزمقیاس سازی مکانی نقشه رقومی کربن آلی خاک با استفاده از الگوریتم دیزور

 1.Gallant, J.C., and Dowling, T.I. 2003. A multiresolution index of valley bottom flatness for mapping depositional areas. Water Resource Research. 39: 1347-1359.

2.Grunwald, S., Thampson, J.A., and Boettinger, J.L. 2011. Digital soil mapping and modeling at continental scales: finding solutions global issues. Soil Sci. Soc. Amer. J. 75: 1201-1213.

3.Fatehi, Sh. 2008. Semi-detailed soil survey of Merek plain in Kharkeh river basin. Soil and Water Research Institute. 87p. (In Persian) 4.Fatehi, Sh., Mohammadi, J., Salehi, M.H., Momeni, A., Toomanian, N., and Jafari, A. 2016. Downscaling Digital Soil Organic Carbon Map. J. Water Soil.30: 4. 1142-1157. (In Persian)

5.Hengl, T. 2006. Finding the right pixel size. Computers and Geosciences. 32: 1283-1298.

6.Huete, A. R.1988. A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment. 25: 295-309.

7.Hijmans, R.J. 2015. Raster: Geographic Data Analysis and Modeling. R Package Version 2.3-40. (http://CRAN.R-project.org/package=raster).

8.Jenny, H. 1941. Factors of Soil Formation: A System of Quantitative Pedology. Dover Publications, New York, 281p.

9.Kempen, B., Brus, D.J., Heuvelink, G.B.M., and Stoorvogel, J.J. 2009. Updating the 1:50000 Dutch soil map using legacy soil data: a multinomial logistic regression approach. Geoderma. 151: 311-326.

10.Kuhn, M., Wing, J., Weston, S., Williams, A., Keefer, C., Engelhardt, A., Cooper, T., Mayer, Z., Kenkel, B., Team, T.R.C., Benesty, M., Lescarbeau, R., Ziem, A., Scrucca, L., Tang, Y., and Candan, C. 2016. Caret: Classification and Regression Training. R Package Version 6.0-64. (https://CRAN.R-project. org/package=caret).

11.Lagacherie, P., Bailly, J.S., Monestiez, P., and Gomez, C. 2012. Using scattered hyperspectral imagery data to map the soil properties of a region. Europ. J. Soil Sci. 63: 110-119.

12.Lal, R. 2014. Soil Carbon Management and Climate Change. Carbon Management. 4: 439-462.

13.Lin, A. 1989. Concordance correlation-coefficient to evaluate reproducibility. Biometrics. 45: 255-268.

14.McBratney, A.B., Mendonça-Santos, M.L., and Minasny, B. 2003. On digital soil mapping. Geoderma. 117: 3-52.

15.Malone, B.P., McBratney, A.B., Minasny B., and Wheeler, I. 2012. General method for downscaling earth resource information. Computers and Geosciences. 41: 119-125.

16.Malone, B.P., McBratney, A.B., and Minasny, B. 2013. Spatial scaling for digital soil mapping. Soil Sci. Soc. Amer. J. 77: 890-902.

17.Malone, B.P., Styc, Q., Minasny, B.,and McBratney, A.B. 2017. Digital soil mapping of soil carbon at the farm scale: A spatial downscaling approach in consideration of measured and uncertain data. Geoderma. 290: 91-99.

18.Minasny, B., and McBratney, A.B. 2010.Methodologies for Global Soil Mapping. P 429-437. In: J.L. Boettinger, D.W. Howell, A.C. Moore, A.E. Hartemink, and S. Kienast-Brown (eds.) Digital Soil Mapping: Bridging Research Environmental Application and Operation Progress in Soil Science. Springer Netherlands.

19.Moore, I.D., Grayson, R.B., and Ladson, A.R. 1991. Digital terrain modelling: a review of hydrological, geomorphological and biological applications. Hydrological Processes.5: 3-30.

20.Padarian, J., Minasny, B., and McBratney, A.B. 2014. The evolving methodology for global soil mapping.P 215-220. In: D. Arrouays, N. McKenzie, J. Hempel, A. Richer de Forges, A.B. McBratney, (eds.), Global Soil Map: Basis of the Global Spatial Soil Information System. CRC Press.

21.Pebesma, E. 2004. Multivariable geostatistics in S: the gstat package. Computer and Geoscience. 30: 683-691.

22.Pelletier, J.D. 2008. Quantitative Modeling of Earth Surface Processes. Cambridge. 295p.

23.R Core Team, 2015. R: A language and environment for statistical computing.R Foundation for Statistical Computing, Vienna, Austria URL. http://www.R-project.org/.

24.Riley, S.J., DeGloria, S.D., and Elliot, R., 1999. A terrain ruggedness index that quantifies topographic heterogeneity. Intermoun. J. Sci. 5: 23-27.

25.Roudier, P., Malone, B.P., Hedley, C.B., Minasny, B., and McBratney, A.B. 2017. Comparison of regression methods for spatial downscaling of soil organic carbon stocks maps. Computers and Electronics in Agriculture. 142: 91-100.

26.SAGA Development Team. 2011. System for Automated Geoscientific Analyses (SAGA). (Available at http://www.saga-gis.org/ en/ index.html, verified 28 October 2014).

27.Smith, M.P., Zhu, A.X., Burt, J.E.,and Stiles, C. 2006. The effects of DEM resolution and neighborhood size on digital soil survey. Geoderma. 137: 1. 58-69.

28.Van Deventer, A.P., Ward, A.D., Gowda, P.H., and Lyon, J.G. 1997. Using Thematic Mapper Data to Identify Contrasting Soil Plains and Tillage Practices. Photogrammetric Engineering and Remote Sensing. 63: 87-93.

29.Walkley, A., and Black, I.A. 1934. An examination of the Degtjareff method for determining soil organic matter, and a proposed modification of the chromic acid titration method. Soil Science.37: 29-38.

30.Xiao, J., Shen, Y., Tateishi, R., and Bayaer, W. 2006. Development of topsoil grain size index for monitoring desertification in arid land using remote sensing. Inter. J. Rem. Sens.27: 2411-2422.