John Triantafilis
John Triantafilis
Associate Professor in Soil Science, UNSW
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Zitiert von
Zitiert von
Five geostatistical models to predict soil salinity from electromagnetic induction data across irrigated cotton
J Triantafilis, IOA Odeh, AB McBratney
Soil Science Society of America Journal 65 (3), 869-878, 2001
Mapping clay content variation using electromagnetic induction techniques
J Triantafilis, SM Lesch
Computers and Electronics in Agriculture 46 (1-3), 203-237, 2005
Calibrating an electromagnetic induction instrument to measure salinity in soil under irrigated cotton
J Triantafilis, GM Laslett, AB McBratney
Soil Science Society of America Journal 64 (3), 1009-1017, 2000
Mapping water table depth using geophysical and environmental variables
S Buchanan, J Triantafilis
Groundwater 47 (1), 80-96, 2009
Comparison of statistical prediction methods for estimating field-scale clay content using different combinations of ancillary variables
J Triantafilis, AI Huckel, IOA Odeh
Soil Science 166 (6), 415-427, 2001
Creation and interpolation of continuous soil layer classes in the lower Namoi valley
J Triantafilis, WT Ward, IOA Odeh, AB McBratney
Soil Science Society of America Journal 65 (2), 403-413, 2001
Mapping the three-dimensional variation of soil salinity in a rice-paddy soil
HY Li, Z Shi, R Webster, J Triantafilis
Geoderma 195, 31-41, 2013
Spatial prediction of soil particle-size fractions as compositional data
IOA Odeh, AJ Todd, J Triantafilis
Soil Science 168 (7), 501-515, 2003
Comparing data mining classifiers to predict spatial distribution of USDA-family soil groups in Baneh region, Iran
R Taghizadeh-Mehrjardi, K Nabiollahi, B Minasny, J Triantafilis
Geoderma 253, 67-77, 2015
Field level digital soil mapping of cation exchange capacity using electromagnetic induction and a hierarchical spatial regression model
J Triantafilis, SM Lesch, K La Lau, SM Buchanan
Soil Research 47 (7), 651-663, 2009
Application of a mobile electromagnetic sensing system (MESS) to assess cause and management of soil salinization in an irrigated cotton‐growing field
J Triantafilis, MF Ahmed, IOA Odeh
Soil Use and Management 18 (4), 330-339, 2002
Field-scale assessment of deep drainage risk
J Triantafilis, A Huckel, I Odeh
Irrigation Science 21 (4), 183-192, 2003
Land suitability assessment in the Namoi Valley of Australia, using a continuous model
J Triantafilis, WT Ward, AB McBratney
Soil Research 39 (2), 273-289, 2001
Resolving the spatial distribution of the true electrical conductivity with depth using EM38 and EM31 signal data and a laterally constrained inversion model
J Triantafilis, FAM Santos
Soil Research 48 (5), 434-446, 2010
Electromagnetic conductivity imaging (EMCI) of soil using a DUALEM-421 and inversion modelling software (EM4Soil)
J Triantafilis, FAM Santos
Geoderma 211, 28-38, 2013
A spatially constrained 1D inversion algorithm for quasi-3D conductivity imaging: Application to DUALEM-421 data collected in a riverine plain
FA Monteiro Santos, J Triantafilis, K Bruzgulis
Geophysics 76 (2), B43-B53, 2011
An inversion approach to generate electromagnetic conductivity images from signal data
J Triantafilis, CH Terhune IV, FAM Santos
Environmental modelling & software 43, 88-95, 2013
Mapping of salinity risk in the lower Namoi valley using non-linear kriging methods
J Triantafilis, IOA Odeh, B Warr, MF Ahmed
Agricultural Water Management 69 (3), 203-231, 2004
Inversion of multiconfiguration electromagnetic (DUALEM-421) profiling data using a one-dimensional laterally constrained algorithm
FA Monteiro Santos, J Triantafilis, KE Bruzgulis, JAE Roe
Vadose zone journal VZJ, 2010
Application of digital soil mapping methods for identifying salinity management classes based on a study on coastal central China
Y Guo, Z Shi, HY Li, J Triantafilis
Soil Use and Management 29 (3), 445-456, 2013
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