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Volumn 12, Issue 4, 2013, Pages

Pedometrics research in the vadose zone-Review and perspectives

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN HIERARCHICAL MODEL; COLLABORATIVE PROJECTS; DYNAMIC SPATIOTEMPORAL MODELING; EMPIRICAL APPROACH; PHYSICAL SIGNIFICANCE; PROCESS-BASED KNOWLEDGE; STATISTICAL ROBUSTNESS; VADOSE ZONE MODELING;

EID: 84887763578     PISSN: None     EISSN: 15391663     Source Type: Journal    
DOI: 10.2136/vzj2012.0141     Document Type: Review
Times cited : (25)

References (114)
  • 1
    • 72149105786 scopus 로고    scopus 로고
    • Geophysical imaging of watershed subsurface patterns and prediction of soil texture and water holding capacity
    • doi: 10. 1029/2008WR007043
    • Abdu, H., D. A. Robinson, M. Seyfried, and S. B. Jones. 2008. Geophysical imaging of watershed subsurface patterns and prediction of soil texture and water holding capacity. Water Resour. Res. 44: W00D18. doi: 10. 1029/2008WR007043.
    • (2008) Water Resour. Res , vol.44
    • Abdu, H.1    Robinson, D.A.2    Seyfried, M.3    Jones, S.B.4
  • 4
    • 33846341173 scopus 로고    scopus 로고
    • Copula-based geostatistical models for groundwater quality parameters
    • Bárdossy, A. 2006. Copula-based geostatistical models for groundwater quality parameters. Water Resour. Res. 42: 1-12.
    • (2006) Water Resour. Res , vol.42 , pp. 1-12
    • Bárdossy, A.1
  • 5
    • 53649106056 scopus 로고    scopus 로고
    • Geostatistical interpolation using copulas
    • Bárdossy, A., and J. Li. 2008. Geostatistical interpolation using copulas. Water Resour. Res. 44: W07412.
    • (2008) Water Resour. Res , vol.44
    • Bárdossy, A.1    Li, J.2
  • 6
    • 0027009437 scopus 로고
    • The future of distributed models: Model calibration and uncertainty prediction
    • doi: 10. 1002/hyp. 3360060305
    • Beven, K., and A. Binley. 1992. The future of distributed models: Model calibration and uncertainty prediction. Hydrol. Processes 6: 279-298. doi: 10. 1002/hyp. 3360060305.
    • (1992) Hydrol. Processes , vol.6 , pp. 279-298
    • Beven, K.1    Binley, A.2
  • 7
    • 0016920581 scopus 로고
    • Spatial variability of the leaching characteristics of a field soil
    • doi: 10. 1029/WR012i001p00078
    • Biggar, J. W., and D. R. Nielsen. 1976. Spatial variability of the leaching characteristics of a field soil. Water Resour. Res. 12: 78-84. doi: 10. 1029/WR012i001p00078.
    • (1976) Water Resour. Res , vol.12 , pp. 78-84
    • Biggar, J.W.1    Nielsen, D.R.2
  • 8
    • 0032846868 scopus 로고    scopus 로고
    • Modeling soil attribute depth functions with equal-area quadratic smoothing splines
    • doi: 10. 1016/S0016-7061(99)00003-8
    • Bishop, T. F. A., A. B. McBratney, and G. M. Laslett. 1999. Modeling soil attribute depth functions with equal-area quadratic smoothing splines. Geoderma 91: 27-45. doi: 10. 1016/S0016-7061(99)00003-8.
    • (1999) Geoderma , vol.91 , pp. 27-45
    • Bishop, T.F.A.1    McBratney, A.B.2    Laslett, G.M.3
  • 9
    • 83155182029 scopus 로고    scopus 로고
    • Revealing the controls of soil water storage at different scales in a hummocky landscape
    • doi: 10. 2136/sssaj2010. 0131
    • Biswas, A., and B. C. Si. 2011. Revealing the controls of soil water storage at different scales in a hummocky landscape. Soil Sci. Soc. Am. J. 75: 1295-1306. doi: 10. 2136/sssaj2010. 0131.
    • (2011) Soil Sci. Soc. Am. J , vol.75 , pp. 1295-1306
    • Biswas, A.1    Si, B.C.2
  • 10
    • 0030609645 scopus 로고    scopus 로고
    • Tikhonov regularization of electrical conductivity depth profiles in field soils
    • doi: 10. 2136/sssaj1997. 03615995006100040002x
    • Borchers, B., T. Uram, and J. M. H. Hendrickx. 1997. Tikhonov regularization of electrical conductivity depth profiles in field soils. Soil Sci. Soc. Am. J. 61: 1004-1009. doi: 10. 2136/sssaj1997. 03615995006100040002x.
    • (1997) Soil Sci. Soc. Am. J , vol.61 , pp. 1004-1009
    • Borchers, B.1    Uram, T.2    Hendrickx, J.M.H.3
  • 11
    • 67149125604 scopus 로고    scopus 로고
    • Spatial variability of hydraulic properties and sediment characteristics in a deep alluvial unsaturated zone
    • doi: 10. 2136/vzj2008. 0087
    • Botros, F. E., T. Harter, Y. S. Onsoy, A. Tuli, and J. W. Hopmans. 2009. Spatial variability of hydraulic properties and sediment characteristics in a deep alluvial unsaturated zone. Vadose Zone J. 8: 276-289. doi: 10. 2136/vzj2008. 0087.
    • (2009) Vadose Zone J , vol.8 , pp. 276-289
    • Botros, F.E.1    Harter, T.2    Onsoy, Y.S.3    Tuli, A.4    Hopmans, J.W.5
  • 12
    • 0000344996 scopus 로고
    • Using soil survey data for quantitative land evaluation
    • Bouma, J. 1989. Using soil survey data for quantitative land evaluation. Adv. Soil Sci. 9: 177-213.
    • (1989) Adv. Soil Sci , vol.9 , pp. 177-213
    • Bouma, J.1
  • 13
    • 36148953233 scopus 로고    scopus 로고
    • Crossing disciplines and scales to understand the critical zone
    • doi: 10. 2113/gselements. 3. 5. 307
    • Brantley, S. L., M. B. Goldhaber, and K. Vala Ragnarsdottir. 2007. Crossing disciplines and scales to understand the critical zone. Elements 3: 307-314. doi: 10. 2113/gselements. 3. 5. 307.
    • (2007) Elements , vol.3 , pp. 307-314
    • Brantley, S.L.1    Goldhaber, M.B.2    Vala Ragnarsdottir, K.3
  • 14
    • 0031434534 scopus 로고    scopus 로고
    • Random sampling or geostatistical modelling? Choosing between design-based and model-based sampling strategies for soil (with discussion)
    • doi: 10. 1016/S0016-7061(97)00072-4
    • Brus, D. J., and J. J. De Gruijter. 1997. Random sampling or geostatistical modelling? Choosing between design-based and model-based sampling strategies for soil (with discussion). Geoderma 80: 1-44. doi: 10. 1016/S0016-7061(97)00072-4.
    • (1997) Geoderma , vol.80 , pp. 1-44
    • Brus, D.J.1    De Gruijter, J.J.2
  • 15
    • 77955455483 scopus 로고    scopus 로고
    • A sampling strategy for estimating plot average annual fluxes of chemical elements from forest soils
    • doi: 10. 1016/j. geoderma. 2010. 09. 001
    • Brus, D. J., J. J. De Gruijter, and W. de Vries. 2010. A sampling strategy for estimating plot average annual fluxes of chemical elements from forest soils. Geoderma 159: 399-408. doi: 10. 1016/j. geoderma. 2010. 09. 001.
    • (2010) Geoderma , vol.159 , pp. 399-408
    • Brus, D.J.1    De Gruijter, J.J.2    de Vries, W.3
  • 16
    • 77950598908 scopus 로고    scopus 로고
    • Using knowledge discovery with data mining from the Australian Soil Resource Information System database to inform soil carbon mapping in Australia
    • Bui, E., B. Henderson, and K. Viergever. 2009. Using knowledge discovery with data mining from the Australian Soil Resource Information System database to inform soil carbon mapping in Australia. Global Biogeochem. Cycles 23: GB4033.
    • (2009) Global Biogeochem. Cycles , vol.23
    • Bui, E.1    Henderson, B.2    Viergever, K.3
  • 17
    • 34748856149 scopus 로고    scopus 로고
    • Digital soil assessments: Beyond DSM
    • doi: 10. 1016/j. geoderma. 2007. 08. 015
    • Carré, F., A. B. McBratney, T. Mayr, and L. Montanarella. 2007. Digital soil assessments: Beyond DSM. Geoderma 142: 69-79. doi: 10. 1016/j. geoderma. 2007. 08. 015.
    • (2007) Geoderma , vol.142 , pp. 69-79
    • Carré, F.1    McBratney, A.B.2    Mayr, T.3    Montanarella, L.4
  • 18
    • 0022923349 scopus 로고
    • Estimation of aquifer parameters under transient and steady state conditions: 2
    • doi: 10. 1029/WR022i002p00211
    • Carrera, J., and S. P. Neuman. 1986. Estimation of aquifer parameters under transient and steady state conditions: 2. Uniqueness, stability, and solution algorithms. Water Resour. Res. 22: 211-227. doi: 10. 1029/WR022i002p00211.
    • (1986) Uniqueness, stability, and solution algorithms. Water Resour. Res , vol.22 , pp. 211-227
    • Carrera, J.1    Neuman, S.P.2
  • 19
    • 4344657015 scopus 로고    scopus 로고
    • Monte Carlo maximum likelihood in model-based geostatistics
    • doi: 10. 1198/106186004x2525
    • Christensen, O. F. 2004. Monte Carlo maximum likelihood in model-based geostatistics. J. Comput. Graphical Stat. 13: 702-718. doi: 10. 1198/106186004x2525.
    • (2004) J. Comput. Graphical Stat , vol.13 , pp. 702-718
    • Christensen, O.F.1
  • 20
    • 34547918267 scopus 로고    scopus 로고
    • From field-to landscapescale vadose zone processes: Scale issues, modeling, and monitoring
    • doi: 10. 2136/vzj2006. 0004
    • Corwin, D. L., J. Hopmans, and G. H. De Rooij. 2006. From field-to landscapescale vadose zone processes: Scale issues, modeling, and monitoring. Vadose Zone J. 5: 129-139. doi: 10. 2136/vzj2006. 0004.
    • (2006) Vadose Zone J , vol.5 , pp. 129-139
    • Corwin, D.L.1    Hopmans, J.2    De Rooij, G.H.3
  • 24
    • 84857086642 scopus 로고    scopus 로고
    • On digital soil assessment with models and the Pedometrics agenda
    • doi: 10. 1016/j. geoderma. 01 2011 001
    • Finke, P. A. 2012. On digital soil assessment with models and the Pedometrics agenda. Geoderma 171-172: 3-15. doi: 10. 1016/j. geoderma. 2011. 01. 001.
    • (2012) Geoderma , vol.171-172 , pp. 3-15
    • Finke, P.A.1
  • 25
    • 45449091133 scopus 로고    scopus 로고
    • Modelling soil genesis in calcareous loess
    • doi: 10. 1016/j. geoderma. 2008. 01. 017
    • Finke, P. A., and J. L. Hutson. 2008. Modelling soil genesis in calcareous loess. Geoderma 145: 462-479. doi: 10. 1016/j. geoderma. 2008. 01. 017.
    • (2008) Geoderma , vol.145 , pp. 462-479
    • Finke, P.A.1    Hutson, J.L.2
  • 26
    • 84862199632 scopus 로고    scopus 로고
    • Estimating topsoil water content of clay soils with data from timelapse electrical conductivity surveys
    • doi: 10. 1097/SS. 0b013e31824eda57
    • García, G. M., K. Vanderlinden, Y. Pachepsky, J. V. G. Cervera, and A. J. E. Pérez. 2012. Estimating topsoil water content of clay soils with data from timelapse electrical conductivity surveys. Soil Sci. 177: 369-376. doi: 10. 1097/SS. 0b013e31824eda57.
    • (2012) Soil Sci , vol.177 , pp. 369-376
    • García, G.M.1    Vanderlinden, K.2    Pachepsky, Y.3    Cervera, J.V.G.4    Pérez, A.J.E.5
  • 27
    • 84864666336 scopus 로고    scopus 로고
    • Water balance of global aquifers revealed by groundwater footprint
    • doi: 10. 1038/nature11295
    • Gleeson, T., Y. Wada, M. F. P. Bierkens, and L. P. H. Van Beek. 2012. Water balance of global aquifers revealed by groundwater footprint. Nature 488: 197-200. doi: 10. 1038/nature11295.
    • (2012) Nature , vol.488 , pp. 197-200
    • Gleeson, T.1    Wada, Y.2    Bierkens, M.F.P.3    Van Beek, L.P.H.4
  • 28
    • 0022264352 scopus 로고
    • Spatial variability of fieldmeasured soil-water characteristics
    • doi: 10. 2136/sssaj1985. 03615995004900050001x
    • Greminger, P. J., Y. K. Sud, and D. R. Nielsen. 1985. Spatial variability of fieldmeasured soil-water characteristics. Soil Sci. Soc. Am. J. 49: 1075-1082. doi: 10. 2136/sssaj1985. 03615995004900050001x.
    • (1985) Soil Sci. Soc. Am. J , vol.49 , pp. 1075-1082
    • Greminger, P.J.1    Sud, Y.K.2    Nielsen, D.R.3
  • 29
    • 48349147101 scopus 로고    scopus 로고
    • Soil organic carbon concentrations and stocks on Barro Colorado Island-Digital soil mapping using Random Forests analysis
    • doi: 10. 1016/j. geoderma. 2008. 05. 008
    • Grimm, R., T. Behrens, M. Märker, and H. Elsenbeer. 2008. Soil organic carbon concentrations and stocks on Barro Colorado Island-Digital soil mapping using Random Forests analysis. Geoderma 146: 102-113. doi: 10. 1016/j. geoderma. 2008. 05. 008.
    • (2008) Geoderma , vol.146 , pp. 102-113
    • Grimm, R.1    Behrens, T.2    Märker, M.3    Elsenbeer, H.4
  • 30
    • 34547897604 scopus 로고    scopus 로고
    • Incorporation of auxiliary information in the geostatistical simulation of soil nitrate nitrogen
    • doi: 10. 2136/vzj2005. 0030
    • Grunwald, S., P. Goovaerts, C. M. Bliss, N. B. Comerford, and S. Lamsal. 2006. Incorporation of auxiliary information in the geostatistical simulation of soil nitrate nitrogen. Vadose Zone J. 5: 391-404. doi: 10. 2136/vzj2005. 0030.
    • (2006) Vadose Zone J , vol.5 , pp. 391-404
    • Grunwald, S.1    Goovaerts, P.2    Bliss, C.M.3    Comerford, N.B.4    Lamsal, S.5
  • 33
    • 5444236478 scopus 로고    scopus 로고
    • The empirical mode decomposition and the Hubert spectrum for nonlinear and non-stationary time series analysis
    • doi: 10. 1098/rspa. 1998. 0193
    • Huang, N. E., Z. Shen, S. R. Long, M. C. Wu, H. H. Snin, Q. Zheng, N. C. Yen, C. C. Tung, and H. H. Liu. 1998. The empirical mode decomposition and the Hubert spectrum for nonlinear and non-stationary time series analysis. Proc. R. Soc., Math. Phys. Eng. Sci. 454: 903-995. doi: 10. 1098/rspa. 1998. 0193.
    • (1998) Proc. R. Soc., Math. Phys. Eng. Sci , vol.454 , pp. 903-995
    • Huang, N.E.1    Shen, Z.2    Long, S.R.3    Wu, M.C.4    Snin, H.H.5    Zheng, Q.6    Yen, N.C.7    Tung, C.C.8    Liu, H.H.9
  • 34
    • 33847074146 scopus 로고    scopus 로고
    • An electromagnetic induction method for monitoring variation in soil moisture in agroforestry systems
    • doi: 10. 1071/SR06093
    • Huth, N. I., and P. L. Poulton. 2007. An electromagnetic induction method for monitoring variation in soil moisture in agroforestry systems. Aust. J. Soil Res. 45: 63-72. doi: 10. 1071/SR06093.
    • (2007) Aust. J. Soil Res , vol.45 , pp. 63-72
    • Huth, N.I.1    Poulton, P.L.2
  • 35
    • 36849049199 scopus 로고    scopus 로고
    • Multiscale pedotransfer functions for soil water retention
    • doi: 10. 2136/vzj2007. 0055
    • Jana, R. B., B. P. Mohanty, and E. P. Springer. 2007. Multiscale pedotransfer functions for soil water retention. Vadose Zone J. 6: 868-878. doi: 10. 2136/vzj2007. 0055.
    • (2007) Vadose Zone J , vol.6 , pp. 868-878
    • Jana, R.B.1    Mohanty, B.P.2    Springer, E.P.3
  • 36
    • 23744492203 scopus 로고    scopus 로고
    • Analysing the space-time distribution of soil water storage of a forest ecosystem using spatio-temporal kriging
    • doi: 10. 1016/j. geoderma. 2005. 04. 008
    • Jost, G., G. B. M. Heuvelink, and A. Papritz. 2005. Analysing the space-time distribution of soil water storage of a forest ecosystem using spatio-temporal kriging. Geoderma 128: 258-273. doi: 10. 1016/j. geoderma. 2005. 04. 008.
    • (2005) Geoderma , vol.128 , pp. 258-273
    • Jost, G.1    Heuvelink, G.B.M.2    Papritz, A.3
  • 37
    • 0035648165 scopus 로고    scopus 로고
    • Bayesian calibration of computer models
    • doi: 10. 1111/1467-9868. 00294
    • Kennedy, M. C., and A. O'Hagan. 2001. Bayesian calibration of computer models. J. R. Stat. Soc., B 63: 425-464. doi: 10. 1111/1467-9868. 00294.
    • (2001) J.R. Stat. Soc., B , vol.63 , pp. 425-464
    • Kennedy, M.C.1    O'Hagan, A.2
  • 38
    • 84867336190 scopus 로고    scopus 로고
    • Multisensor data fusion: A review of the state-of-the-art
    • doi: 10. 1016/j. inffus. 2011. 08. 001
    • Khaleghi, B., A. Khamis, F. O. Karray, and S. N. Razavi. 2013. Multisensor data fusion: A review of the state-of-the-art. Inf. Fusion 14: 28-44. doi: 10. 1016/j. inffus. 2011. 08. 001.
    • (2013) Inf. Fusion , vol.14 , pp. 28-44
    • Khaleghi, B.1    Khamis, A.2    Karray, F.O.3    Razavi, S.N.4
  • 39
    • 0022697970 scopus 로고
    • Parameter uncertainty in estimation of spatial functions: Bayesian analysis
    • doi: 10. 1029/WR022i004p00499
    • Kitanidis, P. K. 1986. Parameter uncertainty in estimation of spatial functions: Bayesian analysis. Water Resour. Res. 22: 499-507. doi: 10. 1029/WR022i004p00499.
    • (1986) Water Resour. Res , vol.22 , pp. 499-507
    • Kitanidis, P.K.1
  • 40
    • 0022264273 scopus 로고
    • Determining soil hydraulic properties from one-step outflow experiments by parameter estimation: I
    • doi: 10. 2136/sssaj1985. 03615995004900060004x
    • Kool, J. B., J. C. Parker, and M. T. Van Genuchten. 1985. Determining soil hydraulic properties from one-step outflow experiments by parameter estimation: I. Theory and numerical studies. Soil Sci. Soc. Am. J. 49: 1348-1354. doi: 10. 2136/sssaj1985. 03615995004900060004x.
    • (1985) Theory and numerical studies. Soil Sci. Soc. Am. J , vol.49 , pp. 1348-1354
    • Kool, J.B.1    Parker, J.C.2    Van Genuchten, M.T.3
  • 41
    • 44949166554 scopus 로고    scopus 로고
    • Stochastic simulations of spatial variability based on multifractal characteristics
    • doi: 10. 2136/vzj2007. 0009
    • Kravchenko, A. N. 2008. Stochastic simulations of spatial variability based on multifractal characteristics. Vadose Zone J. 7: 521-524. doi: 10. 2136/vzj2007. 0009.
    • (2008) Vadose Zone J , vol.7 , pp. 521-524
    • Kravchenko, A.N.1
  • 42
    • 9344229210 scopus 로고    scopus 로고
    • Model-based analysis using REML for inference from systematically sampled data on soil
    • doi: 10. 1111/j. 1365-2389. 2004. 00637. x
    • Lark, R. M., and B. R. Cullis. 2004. Model-based analysis using REML for inference from systematically sampled data on soil. Eur. J. Soil Sci. 55: 799-813. doi: 10. 1111/j. 1365-2389. 2004. 00637. x.
    • (2004) Eur. J. Soil Sci , vol.55 , pp. 799-813
    • Lark, R.M.1    Cullis, B.R.2
  • 43
    • 0033065179 scopus 로고    scopus 로고
    • Analysis and elucidation of soil variation using wavelets
    • doi: 10. 1046/j. 1365-2389. 1999. t01-1-00234. x
    • Lark, R. M., R. Webster, and J. Tipper. 1999. Analysis and elucidation of soil variation using wavelets. Eur. J. Soil Sci. 50: 185-206. doi: 10. 1046/j. 1365-2389. 1999. t01-1-00234. x.
    • (1999) Eur. J. Soil Sci , vol.50 , pp. 185-206
    • Lark, R.M.1    Webster, R.2    Tipper, J.3
  • 44
    • 34547865668 scopus 로고    scopus 로고
    • Electrical conductivity of a failed septic system soil absorption field
    • doi: 10. 2136/vzj2005. 0116
    • Lee, B. D., B. J. Jenkinson, J. A. Doolittle, R. S. Taylor, and J. W. Tuttle. 2006. Electrical conductivity of a failed septic system soil absorption field. Vadose Zone J. 5: 757-763. doi: 10. 2136/vzj2005. 0116.
    • (2006) Vadose Zone J , vol.5 , pp. 757-763
    • Lee, B.D.1    Jenkinson, B.J.2    Doolittle, J.A.3    Taylor, R.S.4    Tuttle, J.W.5
  • 45
    • 84871063183 scopus 로고    scopus 로고
    • Mapping the three-dimensional variation of soil salinity in a rice-paddy soil
    • doi: 10. 1016/j. geoderma. 11 2012 005
    • Li, H. Y., Z. Shi, R. Webster, and J. Triantafilis. 2013. Mapping the three-dimensional variation of soil salinity in a rice-paddy soil. Geoderma 195-196: 31-41. doi: 10. 1016/j. geoderma. 2012. 11. 005.
    • (2013) Geoderma , vol.195-196 , pp. 31-41
    • Li, H.Y.1    Shi, Z.2    Webster, R.3    Triantafilis, J.4
  • 46
    • 9344220953 scopus 로고    scopus 로고
    • Hydropedology: Bridging disciplines, scales, and data
    • Lin, H. 2003. Hydropedology: bridging disciplines, scales, and data. Vadose Zone J. 2: 1-11.
    • (2003) Vadose Zone J , vol.2 , pp. 1-11
    • Lin, H.1
  • 47
    • 44949101321 scopus 로고    scopus 로고
    • Multiscale soil investigations: Physical concepts and mathematical techniques
    • doi: 10. 2136/vzj2007. 0160
    • Logsdon, S. D., E. Perfect, and A. M. Tarquis. 2008. Multiscale soil investigations: Physical concepts and mathematical techniques. Vadose Zone J. 7: 453-455. doi: 10. 2136/vzj2007. 0160.
    • (2008) Vadose Zone J , vol.7 , pp. 453-455
    • Logsdon, S.D.1    Perfect, E.2    Tarquis, A.M.3
  • 49
    • 70449645048 scopus 로고    scopus 로고
    • Mapping continuous depth functions of soil carbon storage and available water capacity
    • doi: 10. 1016/j. geoderma. 2009. 10. 007
    • Malone, B. P., A. B. McBratney, B. Minasny, and G. M. Laslett. 2009. Mapping continuous depth functions of soil carbon storage and available water capacity. Geoderma 154: 138-152. doi: 10. 1016/j. geoderma. 2009. 10. 007.
    • (2009) Geoderma , vol.154 , pp. 138-152
    • Malone, B.P.1    McBratney, A.B.2    Minasny, B.3    Laslett, G.M.4
  • 50
    • 26844574243 scopus 로고    scopus 로고
    • Adaptive grid refinement in numerical models for water flow and chemical transport in soil: A review
    • Mansell, R. S., L. Ma, L. R. Ahuja, and S. A. Bloom. 2002. Adaptive grid refinement in numerical models for water flow and chemical transport in soil: A review. Vadose Zone J. 1: 222-238.
    • (2002) Vadose Zone J , vol.1 , pp. 222-238
    • Mansell, R.S.1    Ma, L.2    Ahuja, L.R.3    Bloom, S.A.4
  • 51
    • 79955469665 scopus 로고    scopus 로고
    • Spatial prediction of soil properties with copulas
    • doi: 10. 1016/j. geoderma. 2011. 03. 005
    • Marchant, B. P., N. P. A. Saby, C. C. Jolivet, D. Arrouays, and R. M. Lark. 2011. Spatial prediction of soil properties with copulas. Geoderma 162: 327-334. doi: 10. 1016/j. geoderma. 2011. 03. 005.
    • (2011) Geoderma , vol.162 , pp. 327-334
    • Marchant, B.P.1    Saby, N.P.A.2    Jolivet, C.C.3    Arrouays, D.4    Lark, R.M.5
  • 52
    • 0000169232 scopus 로고
    • An algorithm for least-squares estimation of nonlinear parameters
    • doi: 10. 1137/0111030
    • Marquardt, D. W. 1963. An algorithm for least-squares estimation of nonlinear parameters. J. Soc. Ind. Appl. Math. 11: 431-441. doi: 10. 1137/0111030.
    • (1963) J. Soc. Ind. Appl. Math , vol.11 , pp. 431-441
    • Marquardt, D.W.1
  • 53
    • 70349325591 scopus 로고    scopus 로고
    • Can apparent electrical conductivity improve the spatial characterization of soil organic carbon?
    • doi: 10. 2136/vzj2008. 0123
    • Martinez, G., K. Vanderlinden, R. Ordóñez, and J. L. Muriel. 2009. Can apparent electrical conductivity improve the spatial characterization of soil organic carbon? Vadose Zone J. 8: 586-593. doi: 10. 2136/vzj2008. 0123.
    • (2009) Vadose Zone J , vol.8 , pp. 586-593
    • Martinez, G.1    Vanderlinden, K.2    Ordóñez, R.3    Muriel, J.L.4
  • 54
    • 0031597560 scopus 로고    scopus 로고
    • Some considerations on methods for spatially aggregating and disaggregating soil information
    • doi: 10. 1023/A: 1009778500412
    • McBratney, A. B. 1998. Some considerations on methods for spatially aggregating and disaggregating soil information. Nutr. Cycl. Agroecosyst. 50: 51-62. doi: 10. 1023/A: 1009778500412.
    • (1998) Nutr. Cycl. Agroecosyst , vol.50 , pp. 51-62
    • McBratney, A.B.1
  • 56
    • 0036062697 scopus 로고    scopus 로고
    • From pedotransfer functions to soil inference systems
    • doi: 10. 1016/S0016-7061(02)00139-8
    • McBratney, A. B., B. Minasny, S. R. Cattle, and R. W. Vervoort. 2002. From pedotransfer functions to soil inference systems. Geoderma 109: 41-73. doi: 10. 1016/S0016-7061(02)00139-8.
    • (2002) Geoderma , vol.109 , pp. 41-73
    • McBratney, A.B.1    Minasny, B.2    Cattle, S.R.3    Vervoort, R.W.4
  • 57
    • 0022928386 scopus 로고
    • Choosing functions for semi-variograms of soil properties and fitting them to sampling estimates
    • doi: 10. 1111/j. 1365-2389. 1986. tb00392. x
    • McBratney, A. B., and R. Webster. 1986. Choosing functions for semi-variograms of soil properties and fitting them to sampling estimates. J. Soil Sci. 37: 617-639. doi: 10. 1111/j. 1365-2389. 1986. tb00392. x.
    • (1986) J. Soil Sci , vol.37 , pp. 617-639
    • McBratney, A.B.1    Webster, R.2
  • 58
    • 82055171695 scopus 로고    scopus 로고
    • Quantitative two-layer conductivity inversion of multi-configuration electromagnetic induction measurements
    • doi: 10. 2136/vzj2011. 0035
    • Mester, A., J. van Der Kruk, E. Zimmermann, and H. Vereecken. 2011. Quantitative two-layer conductivity inversion of multi-configuration electromagnetic induction measurements. Vadose Zone J. 10: 1319-1330. doi: 10. 2136/vzj2011. 0035.
    • (2011) Vadose Zone J , vol.10 , pp. 1319-1330
    • Mester, A.1    van Der Kruk, J.2    Zimmermann, E.3    Vereecken, H.4
  • 59
    • 33646835505 scopus 로고    scopus 로고
    • Mechanistic soil-landscape modelling as an approach to developing pedogenetic classifications
    • doi: 10. 1016/j. geoderma. 2006. 03. 042
    • Minasny, B., and A. B. McBratney. 2006. Mechanistic soil-landscape modelling as an approach to developing pedogenetic classifications. Geoderma 133: 138-149. doi: 10. 1016/j. geoderma. 2006. 03. 042.
    • (2006) Geoderma , vol.133 , pp. 138-149
    • Minasny, B.1    McBratney, A.B.2
  • 61
    • 79958051214 scopus 로고    scopus 로고
    • Confronting uncertainty in model-based geostatistics using Markov Chain Monte Carlo simulation
    • doi: 10. 1016/j. geoderma. 2011. 03. 011
    • Minasny, B., J. A. Vrugt, and A. B. McBratney. 2011. Confronting uncertainty in model-based geostatistics using Markov Chain Monte Carlo simulation. Geoderma 163: 150-162. doi: 10. 1016/j. geoderma. 2011. 03. 011.
    • (2011) Geoderma , vol.163 , pp. 150-162
    • Minasny, B.1    Vrugt, J.A.2    McBratney, A.B.3
  • 62
    • 84871488406 scopus 로고    scopus 로고
    • Digital mapping of soil carbon
    • doi: 10. 1016/B978-0-12-405942-9. 00001-3
    • Minasny, B., A. B. McBratney, B. P. Malone, and I. Wheeler. 2013. Digital mapping of soil carbon. Adv. Agron. 118: 1-47. doi: 10. 1016/B978-0-12-405942-9. 00001-3.
    • (2013) Adv. Agron , vol.118 , pp. 1-47
    • Minasny, B.1    McBratney, A.B.2    Malone, B.P.3    Wheeler, I.4
  • 63
    • 34548394614 scopus 로고    scopus 로고
    • 62. Australian Centre for Precision Agriculture, The University of Sydney, NSW, Australia
    • Minasny, B., A. B. McBratney, and B. M. Whelan. 2005. VESPER version 1. 62. Australian Centre for Precision Agriculture, The University of Sydney, NSW, Australia.
    • (2005) VESPER version 1
    • Minasny, B.1    McBratney, A.B.2    Whelan, B.M.3
  • 64
    • 80052438789 scopus 로고    scopus 로고
    • Pedotransfer functions for isoproturon sorption on soils and vadose zone materials
    • doi: 10. 1002/ps. 2187
    • Moeys, J., V. Bergheaud, and Y. Coquet. 2011. Pedotransfer functions for isoproturon sorption on soils and vadose zone materials. Pest Manag. Sci. 67: 1309-1319. doi: 10. 1002/ps. 2187.
    • (2011) Pest Manag. Sci , vol.67 , pp. 1309-1319
    • Moeys, J.1    Bergheaud, V.2    Coquet, Y.3
  • 65
    • 79960134990 scopus 로고    scopus 로고
    • Predicting the soil moisture characteristic curve from particle size distribution with a simple conceptual model
    • doi: 10. 2136/vzj2010. 0080
    • Mohammadi, M. H., and M. Vanclooster. 2011. Predicting the soil moisture characteristic curve from particle size distribution with a simple conceptual model. Vadose Zone J. 10: 594-602. doi: 10. 2136/vzj2010. 0080.
    • (2011) Vadose Zone J , vol.10 , pp. 594-602
    • Mohammadi, M.H.1    Vanclooster, M.2
  • 66
    • 0034022374 scopus 로고    scopus 로고
    • Predicting the gas diffusion coefficient in undisturbed soil from soil water characteristics
    • doi: 10. 2136/sssaj2000. 64194x
    • Moldrup, P., T. Olesen, P. Schjønning, T. Yamaguchi, and D. E. Rolston. 2000. Predicting the gas diffusion coefficient in undisturbed soil from soil water characteristics. Soil Sci. Soc. Am. J. 64: 94-100. doi: 10. 2136/sssaj2000. 64194x.
    • (2000) Soil Sci. Soc. Am. J , vol.64 , pp. 94-100
    • Moldrup, P.1    Olesen, T.2    Schjønning, P.3    Yamaguchi, T.4    Rolston, D.E.5
  • 67
    • 77349125617 scopus 로고    scopus 로고
    • Inversion of multiconfiguration electromagnetic (DUALEM-421) profiling data using a one-dimensional laterally constrained algorithm
    • doi: 10. 2136/vzj2009. 0088
    • Monteiro Santos, F. A., J. Triantafilis, K. E. Bruzgulis, and J. A. E. Roe. 2010. Inversion of multiconfiguration electromagnetic (DUALEM-421) profiling data using a one-dimensional laterally constrained algorithm. Vadose Zone J. 9: 117-125. doi: 10. 2136/vzj2009. 0088.
    • (2010) Vadose Zone J , vol.9 , pp. 117-125
    • Monteiro Santos, F.A.1    Triantafilis, J.2    Bruzgulis, K.E.3    Roe, J.A.E.4
  • 69
    • 0345292254 scopus 로고    scopus 로고
    • An empirical comparison of kriging methods for nonlinear spatial point prediction
    • doi: 10. 1023/A: 1015085810154
    • Moyeed, R. A., and A. Papritz. 2002. An empirical comparison of kriging methods for nonlinear spatial point prediction. Math. Geol. 34: 365-386. doi: 10. 1023/A: 1015085810154.
    • (2002) Math. Geol , vol.34 , pp. 365-386
    • Moyeed, R.A.1    Papritz, A.2
  • 70
    • 34547882350 scopus 로고    scopus 로고
    • Sensitivity analysis of the nonparametric nearest neighbor technique to estimate soil water retention
    • doi: 10. 2136/vzj2006. 0017
    • Nemes, A., W. J. Rawls, Y. A. Pachepsky, and M. T. Van Genuchten. 2006. Sensitivity analysis of the nonparametric nearest neighbor technique to estimate soil water retention. Vadose Zone J. 5: 1222-1235. doi: 10. 2136/vzj2006. 0017.
    • (2006) Vadose Zone J , vol.5 , pp. 1222-1235
    • Nemes, A.1    Rawls, W.J.2    Pachepsky, Y.A.3    Van Genuchten, M.T.4
  • 72
    • 78649798719 scopus 로고    scopus 로고
    • NRC., National Academies Press, Washington, DC
    • NRC. 2010. Landscapes on the edge. National Academies Press, Washington, DC.
    • (2010) Landscapes on the edge
  • 73
    • 0003132736 scopus 로고
    • Bayesian kriging-Merging observations and qualified guesses in kriging
    • doi: 10. 1007/BF01275432
    • Omre, H. 1987. Bayesian kriging-Merging observations and qualified guesses in kriging. Math. Geol. 19: 25-39. doi: 10. 1007/BF01275432.
    • (1987) Math. Geol , vol.19 , pp. 25-39
    • Omre, H.1
  • 74
    • 33749008136 scopus 로고    scopus 로고
    • Spatial analysis of model error, illustrated by soil carbon dioxide emissions
    • doi: 10. 2136/vzj2005. 0015
    • Pringle, M. J., and R. M. Lark. 2006. Spatial analysis of model error, illustrated by soil carbon dioxide emissions. Vadose Zone J. 5: 168-183. doi: 10. 2136/vzj2005. 0015.
    • (2006) Vadose Zone J , vol.5 , pp. 168-183
    • Pringle, M.J.1    Lark, R.M.2
  • 75
    • 33846077982 scopus 로고    scopus 로고
    • Spatial evaluation of pedotransfer functions using wavelet analysis
    • Pringle, M. J., N. Romano, B. Minasny, G. B Chirico, and R. M. Lark. 2007. Spatial evaluation of pedotransfer functions using wavelet analysis. J. Hydrol. 333: 182-198.
    • (2007) J. Hydrol , vol.333 , pp. 182-198
    • Pringle, M.J.1    Romano, N.2    Minasny, B.3    Chirico, G.B.4    Lark, R.M.5
  • 76
    • 84861123587 scopus 로고    scopus 로고
    • Bayesian model averaging using particle filtering and Gaussian mixture modeling: Theory, concepts, and simulation experiments
    • doi: 10. 1029/2011WR011607
    • Rings, J., J. A. Vrugt, G. Schoups, J. A. Huisman, and H. Vereecken. 2012. Bayesian model averaging using particle filtering and Gaussian mixture modeling: Theory, concepts, and simulation experiments. Water Resour. Res. 48: W05520. doi: 10. 1029/2011WR011607.
    • (2012) Water Resour. Res , vol.48
    • Rings, J.1    Vrugt, J.A.2    Schoups, G.3    Huisman, J.A.4    Vereecken, H.5
  • 77
    • 79960131418 scopus 로고    scopus 로고
    • Numerical solution of the continuity equation for soil water flow using precomputed steady-state fluxes
    • doi: 10. 2136/vzj2010. 0085
    • Ross, P. J. 2011. Numerical solution of the continuity equation for soil water flow using precomputed steady-state fluxes. Vadose Zone J. 10: 760-766. doi: 10. 2136/vzj2010. 0085.
    • (2011) Vadose Zone J , vol.10 , pp. 760-766
    • Ross, P.J.1
  • 78
    • 84887768404 scopus 로고    scopus 로고
    • Identifying the main scales at which crop yield and soil attributes are related within a field
    • Australian Centre for Precision Agriculture, The University of Sydney, Australia
    • Roudier, P., and B. M. Whelan. 2010. Identifying the main scales at which crop yield and soil attributes are related within a field. Proceedings of the 14th symposium on precision agriculture in Australasia, Sydney. Australian Centre for Precision Agriculture, The University of Sydney, Australia.
    • (2010) Proceedings of the 14th symposium on precision agriculture in Australasia, Sydney
    • Roudier, P.1    Whelan, B.M.2
  • 81
    • 32644480577 scopus 로고    scopus 로고
    • Comparison of models for indirect estimation of water retention and available water in surface soils
    • Schaap, M. G., A. Nemes, and M. Th. van Genuchten. 2004. Comparison of models for indirect estimation of water retention and available water in surface soils. Vadose Zone J. 3: 1455-1463.
    • (2004) Vadose Zone J , vol.3 , pp. 1455-1463
    • Schaap, M.G.1    Nemes, A.2    van Genuchten, M.T.3
  • 82
    • 77954727893 scopus 로고    scopus 로고
    • A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non-Gaussian errors
    • Schoups, G., and J. A. Vrugt. 2010. A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non-Gaussian errors. Water Resour. Res. 46: W10531.
    • (2010) Water Resour. Res , vol.46
    • Schoups, G.1    Vrugt, J.A.2
  • 83
    • 33748900998 scopus 로고    scopus 로고
    • Optimising soil-hydrological predictions using effective CART models
    • doi: 10. 5194/adgeo-5-37-2005
    • Selle, B., and B. Huwe. 2005. Optimising soil-hydrological predictions using effective CART models. Adv. Geosci. 5: 37-41. doi: 10. 5194/adgeo-5-37-2005.
    • (2005) Adv. Geosci , vol.5 , pp. 37-41
    • Selle, B.1    Huwe, B.2
  • 84
    • 78650708318 scopus 로고    scopus 로고
    • Testing the structure of hydrological models using genetic programming
    • Selle, B., and N. Muttil. 2011. Testing the structure of hydrological models using genetic programming. J. Hydrol. 397: 1-9.
    • (2011) J. Hydrol , vol.397 , pp. 1-9
    • Selle, B.1    Muttil, N.2
  • 85
    • 44949113262 scopus 로고    scopus 로고
    • Spatial scaling analyses of soil physical properties: A review of spectral and wavelet methods
    • doi: 10. 2136/vzj2007. 0040
    • Si, B. C. 2008. Spatial scaling analyses of soil physical properties: A review of spectral and wavelet methods. Vadose Zone J. 7: 547-562. doi: 10. 2136/vzj2007. 0040.
    • (2008) Vadose Zone J , vol.7 , pp. 547-562
    • Si, B.C.1
  • 86
    • 33749251165 scopus 로고    scopus 로고
    • Scale effects in estimating the variogram and implications for soil hydrology
    • doi: 10. 2136/vzj2005. 0069
    • Skøien, J. O., and G. Blöschl. 2006. Scale effects in estimating the variogram and implications for soil hydrology. Vadose Zone J. 5: 153-167. doi: 10. 2136/vzj2005. 0069.
    • (2006) Vadose Zone J , vol.5 , pp. 153-167
    • Skøien, J.O.1    Blöschl, G.2
  • 87
    • 0037367398 scopus 로고    scopus 로고
    • Soil water content interpolation using spatio-temporal kriging with external drift
    • doi: 10. 1016/S0016-7061(02)00310-5
    • Snepvangers, J. J. J. C., G. B. M. Heuvelink, and J. A. Huisman. 2003. Soil water content interpolation using spatio-temporal kriging with external drift. Geoderma 112: 253-271. doi: 10. 1016/S0016-7061(02)00310-5.
    • (2003) Geoderma , vol.112 , pp. 253-271
    • Snepvangers, J.J.J.C.1    Heuvelink, G.B.M.2    Huisman, J.A.3
  • 88
    • 33646843935 scopus 로고    scopus 로고
    • Influence of soil pattern on matter transport in and from terrestrial biogeosystems-A new concept for landscape pedology
    • doi: 10. 1016/j. geoderma. 2006. 03. 040
    • Sommer, M. 2006. Influence of soil pattern on matter transport in and from terrestrial biogeosystems-A new concept for landscape pedology. Geoderma 133: 107-123. doi: 10. 1016/j. geoderma. 2006. 03. 040.
    • (2006) Geoderma , vol.133 , pp. 107-123
    • Sommer, M.1
  • 89
    • 30944466832 scopus 로고    scopus 로고
    • Onthe-go measurement of soil water content and mechanical resistance by a combined horizontal penetrometer
    • doi: 10. 1016/j. still. 2005. 02. 022
    • Sun, Y., D. Ma, P. Schulze Lammers, O. Schmittmann, and M. Rose. 2006. Onthe-go measurement of soil water content and mechanical resistance by a combined horizontal penetrometer. Soil Tillage Res. 86: 209-217. doi: 10. 1016/j. still. 2005. 02. 022.
    • (2006) Soil Tillage Res , vol.86 , pp. 209-217
    • Sun, Y.1    Ma, D.2    Schulze Lammers, P.3    Schmittmann, O.4    Rose, M.5
  • 91
    • 44949117050 scopus 로고    scopus 로고
    • Multiscale entropy-based analysis of soil transect data
    • doi: 10. 2136/vzj2007. 0039
    • Tarquis, A. M., N. R. A. Bird, A. P. Whitmore, M. C. Cartagena, and Y. Pachepsky. 2008. Multiscale entropy-based analysis of soil transect data. Vadose Zone J. 7: 563-569. doi: 10. 2136/vzj2007. 0039.
    • (2008) Vadose Zone J , vol.7 , pp. 563-569
    • Tarquis, A.M.1    Bird, N.R.A.2    Whitmore, A.P.3    Cartagena, M.C.4    Pachepsky, Y.5
  • 92
    • 59749089915 scopus 로고    scopus 로고
    • Using distance metrics to determine the appropriate domain of pedotransfer function predictions
    • doi: 10. 1016/j. geoderma. 2009. 01. 006
    • Tranter, G., A. B. McBratney, and B. Minasny. 2009. Using distance metrics to determine the appropriate domain of pedotransfer function predictions. Geoderma 149: 421-425. doi: 10. 1016/j. geoderma. 2009. 01. 006.
    • (2009) Geoderma , vol.149 , pp. 421-425
    • Tranter, G.1    McBratney, A.B.2    Minasny, B.3
  • 93
    • 0034193960 scopus 로고    scopus 로고
    • Calibrating an electromagnetic induction instrument to measure salinity in soil under irrigated cotton
    • doi: 10. 2136/sssaj2000. 6431009x
    • Triantafilis, J., G. M. Laslett, and A. B. McBratney. 2000. Calibrating an electromagnetic induction instrument to measure salinity in soil under irrigated cotton. Soil Sci. Soc. Am. J. 64: 1009-1017. doi: 10. 2136/sssaj2000. 6431009x.
    • (2000) Soil Sci. Soc. Am. J , vol.64 , pp. 1009-1017
    • Triantafilis, J.1    Laslett, G.M.2    McBratney, A.B.3
  • 94
    • 77955525944 scopus 로고    scopus 로고
    • Resolving the spatial distribution of the true electrical conductivity with depth using EM38 and EM31 signal data and a laterally constrained inversion model
    • doi: 10. 1071/SR09149
    • Triantafilis, J., and F. A. Monteiro Santos. 2010. Resolving the spatial distribution of the true electrical conductivity with depth using EM38 and EM31 signal data and a laterally constrained inversion model. Aust. J. Soil Res. 48: 434-446. doi: 10. 1071/SR09149.
    • (2010) Aust. J. Soil Res , vol.48 , pp. 434-446
    • Triantafilis, J.1    Monteiro Santos, F.A.2
  • 95
    • 80052027071 scopus 로고    scopus 로고
    • Detecting a leachate plume in an aeolian sand landscape using a DUALEM-421 induction probe to measure electrical conductivity followed by inversion modelling
    • Triantafilis, J., J. A. E. Roe, and F. A. Monteiro Santos. 2011. Detecting a leachate plume in an aeolian sand landscape using a DUALEM-421 induction probe to measure electrical conductivity followed by inversion modelling. Soil Use Manage. 27: 357-366.
    • (2011) Soil Use Manage , vol.27 , pp. 357-366
    • Triantafilis, J.1    Roe, J.A.E.2    Monteiro Santos, F.A.3
  • 96
    • 84875638735 scopus 로고    scopus 로고
    • An inversion approach to generate electromagnetic conductivity images from signal data
    • Triantafilis, J., C. H. Terhune, IV, and F. A. Monteiro Santos. 2013. An inversion approach to generate electromagnetic conductivity images from signal data. Environ. Model. Softw. 43: 88-95.
    • (2013) Environ. Model. Softw , vol.43 , pp. 88-95
    • Triantafilis, J.1    Terhune IV, C.H.2    Monteiro Santos, F.A.3
  • 97
    • 84864111019 scopus 로고    scopus 로고
    • Modeling the electrical conductivity of hydrogeological strata using jointinversion of loop-loop electromagnetic data
    • doi: 10. 1190/geo2011-0507. 1
    • Triantafilis, J., V. Wong, F. A. Monteiro Santos, D. Page, and R. Wege. 2012. Modeling the electrical conductivity of hydrogeological strata using jointinversion of loop-loop electromagnetic data. Geophysics 77: WB99-WB107. doi: 10. 1190/geo2011-0507. 1.
    • (2012) Geophysics , vol.77
    • Triantafilis, J.1    Wong, V.2    Monteiro Santos, F.A.3    Page, D.4    Wege, R.5
  • 98
    • 33847180669 scopus 로고    scopus 로고
    • A genetic algorithm for predicting pore geometry based on air permeability measurements
    • doi: 10. 2136/vzj2004. 0116
    • Unsal, E., J. H. Dane, and G. V. Dozier. 2005. A genetic algorithm for predicting pore geometry based on air permeability measurements. Vadose Zone J. 4: 389-397. doi: 10. 2136/vzj2004. 0116.
    • (2005) Vadose Zone J , vol.4 , pp. 389-397
    • Unsal, E.1    Dane, J.H.2    Dozier, G.V.3
  • 100
    • 84880686568 scopus 로고    scopus 로고
    • A quantitative model for integrating landscape evolution and soil formation
    • doi: 10. 1029/2011JF002296
    • Vanwalleghem, T., U. Stockmann, B. Minasny and A. B. McBratney. 2013. A quantitative model for integrating landscape evolution and soil formation. J. Geophys. Res. 118: 1-17. doi: 10. 1029/2011JF002296.
    • (2013) J. Geophys. Res , vol.118 , pp. 1-17
    • Vanwalleghem, T.1    Stockmann, U.2    Minasny, B.3    McBratney, A.B.4
  • 101
    • 0020697640 scopus 로고
    • The use of cokriging with limited field soil observations
    • doi: 10. 2136/sssaj1983. 03615995004700020001x
    • Vauclin, M., S. R. Vieira, G. Vachaud, and D. R. Nielsen. 1983. The use of cokriging with limited field soil observations. Soil Sci. Soc. Am. J. 47: 175-184. doi: 10. 2136/sssaj1983. 03615995004700020001x.
    • (1983) Soil Sci. Soc. Am. J , vol.47 , pp. 175-184
    • Vauclin, M.1    Vieira, S.R.2    Vachaud, G.3    Nielsen, D.R.4
  • 102
    • 79952021642 scopus 로고    scopus 로고
    • Using pedotransfer functions to estimate the van Genuchten-Mualem soil hydraulic properties: A review
    • doi: 10. 2136/vzj2010. 0045
    • Vereecken, H., M. Javaux, M. Weynants, Y. Pachepsky, M. G. Schaap, and V. Genuchten. 2010. Using pedotransfer functions to estimate the van Genuchten-Mualem soil hydraulic properties: A review. Vadose Zone J. 9: 795-820. doi: 10. 2136/vzj2010. 0045.
    • (2010) Vadose Zone J , vol.9 , pp. 795-820
    • Vereecken, H.1    Javaux, M.2    Weynants, M.3    Pachepsky, Y.4    Schaap, M.G.5    Genuchten, V.6
  • 103
    • 0019634908 scopus 로고
    • Spatial variability of fieldmeasured infiltration rate
    • doi: 10. 2136/sssaj1981. 03615995004500060007x
    • Vieira, S. R., D. R. Nielsen, and J. W. Biggar. 1981. Spatial variability of fieldmeasured infiltration rate. Soil Sci. Soc. Am. J. 45: 1040-1048. doi: 10. 2136/sssaj1981. 03615995004500060007x.
    • (1981) Soil Sci. Soc. Am. J , vol.45 , pp. 1040-1048
    • Vieira, S.R.1    Nielsen, D.R.2    Biggar, J.W.3
  • 104
    • 0028250181 scopus 로고
    • Spatial interpolation of soil moisture retention curves
    • doi: 10. 1016/0016-7061(94)90031-0
    • Voltz, M., and M. Goulard. 1994. Spatial interpolation of soil moisture retention curves. Geoderma 62: 109-123. doi: 10. 1016/0016-7061(94)90031-0.
    • (1994) Geoderma , vol.62 , pp. 109-123
    • Voltz, M.1    Goulard, M.2
  • 105
    • 1542757127 scopus 로고    scopus 로고
    • A shufñed complex evolution Metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters
    • Vrugt, J. A., H. V. Gupta, W. Bouten, and S. Sorooshian. 2003. A shufñed complex evolution Metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters. Water Resour. Res. 39: 1201.
    • (2003) Water Resour. Res , vol.39 , pp. 1201
    • Vrugt, J.A.1    Gupta, H.V.2    Bouten, W.3    Sorooshian, S.4
  • 106
    • 44949177443 scopus 로고    scopus 로고
    • Inverse modeling of subsurface flow and transport properties: A review with new developments
    • doi: 10. 2136/vzj2007. 0078
    • Vrugt, J. A., P. H. Stauffer, T. Wöhling, B. A. Robinson, and V. V. Vesselinov. 2008a. Inverse modeling of subsurface flow and transport properties: A review with new developments. Vadose Zone J. 7: 843-844. doi: 10. 2136/vzj2007. 0078.
    • (2008) Vadose Zone J , vol.7 , pp. 843-844
    • Vrugt, J.A.1    Stauffer, P.H.2    Wöhling, T.3    Robinson, B.A.4    Vesselinov, V.V.5
  • 107
    • 57049099445 scopus 로고    scopus 로고
    • Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation
    • doi: 10. 1029/2007WR006720
    • Vrugt, J. A., C. J. F. ter Braak, M. P. Clark, J. M. Hyman, and B. A. Robinson. 2008b. Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation. Water Resour. Res. 44: W00B09. doi: 10. 1029/2007WR006720.
    • (2008) Water Resour. Res , vol.44
    • Vrugt, J.A.1    ter Braak, C.J.F.2    Clark, M.P.3    Hyman, J.M.4    Robinson, B.A.5
  • 108
    • 65349141143 scopus 로고    scopus 로고
    • Accelerating Markov chain Monte Carlo simulation by differential evolution with self-adaptive randomized subspace sampling
    • doi: 10. 1515/IJNSNS. 2009. 10. 3. 273
    • Vrugt, J. A., C. J. F. ter Braak, C. G. H. Diks, B. A. Robinson, J. M. Hyman, and D. Higdon. 2009. Accelerating Markov chain Monte Carlo simulation by differential evolution with self-adaptive randomized subspace sampling. Int. J. Nonlinear Sci. Numer. Simul. 10: 273-290. doi: 10. 1515/IJNSNS. 2009. 10. 3. 273.
    • (2009) Int. J. Nonlinear Sci. Numer. Simul , vol.10 , pp. 273-290
    • Vrugt, J.A.1    ter Braak, C.J.F.2    Diks, C.G.H.3    Robinson, B.A.4    Hyman, J.M.5    Higdon, D.6
  • 109
    • 0034917152 scopus 로고    scopus 로고
    • Spatial prediction of topsoil salinity in the Chelif valley, Algeria using kriging with local versus whole-area variograms
    • doi: 10. 1071/SR99114
    • Walter, C., A. B. McBratney, A. Douaoui, and B. Minasny. 2001. Spatial prediction of topsoil salinity in the Chelif valley, Algeria using kriging with local versus whole-area variograms. Aust. J. Soil Res. 39(2): 259-272. doi: 10. 1071/SR99114.
    • (2001) Aust. J. Soil Res , vol.39 , Issue.2 , pp. 259-272
    • Walter, C.1    McBratney, A.B.2    Douaoui, A.3    Minasny, B.4
  • 110
    • 44749091062 scopus 로고    scopus 로고
    • Hydro-pedotransfer functions (HPTFs) for predicting annual percolation rate on a regional scale
    • Wessolek, G., W. H. M. Duijnisveld, and S. Trinks. 2008. Hydro-pedotransfer functions (HPTFs) for predicting annual percolation rate on a regional scale. J. Hydrol. 356: 17-27.
    • (2008) J. Hydrol , vol.356 , pp. 17-27
    • Wessolek, G.1    Duijnisveld, W.H.M.2    Trinks, S.3
  • 111
    • 84887778436 scopus 로고    scopus 로고
    • Three-dimensional spatial prediction of soil organic carbon for three contiguous bioregions in New South Wales, Australia
    • (in press)
    • Wheeler, I., B. Minasny, A. B. McBratney, E. Bui, J. Wilford, L. Lymburner. 2013. Three-dimensional spatial prediction of soil organic carbon for three contiguous bioregions in New South Wales, Australia. Eur. J. Soil Sci. (in press).
    • (2013) Eur. J. Soil Sci
    • Wheeler, I.1    Minasny, B.2    McBratney, A.B.3    Bui, E.4    Wilford, J.5    Lymburner, L.6
  • 113
    • 3042534013 scopus 로고    scopus 로고
    • Stochastic fusion of information for characterizing and monitoring the vadose zone
    • Yeh, T. C. J., and J. Simunek. 2002. Stochastic fusion of information for characterizing and monitoring the vadose zone. Vadose Zone J. 1: 207-221.
    • (2002) Vadose Zone J , vol.1 , pp. 207-221
    • Yeh, T.C.J.1    Simunek, J.2
  • 114
    • 77956241411 scopus 로고    scopus 로고
    • Repeated electromagnetic induction surveys for determining subsurface hydrologic dynamics in an agricultural landscape
    • doi: 10. 2136/sssaj2010. 0055
    • Zhu, Q., H. Lin, and J. Doolittle. 2010. Repeated electromagnetic induction surveys for determining subsurface hydrologic dynamics in an agricultural landscape. Soil Sci. Soc. Am. J. 74: 1750-1762. doi: 10. 2136/sssaj2010. 0055.
    • (2010) Soil Sci. Soc. Am. J , vol.74 , pp. 1750-1762
    • Zhu, Q.1    Lin, H.2    Doolittle, J.3


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