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 | 333 | 2001 |
Mapping clay content variation using electromagnetic induction techniques J Triantafilis, SM Lesch Computers and Electronics in Agriculture 46 (1-3), 203-237, 2005 | 267 | 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 | 207 | 2000 |
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 | 156 | 2015 |
Mapping water table depth using geophysical and environmental variables S Buchanan, J Triantafilis Groundwater 47 (1), 80-96, 2009 | 153 | 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 | 122 | 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 | 119 | 2013 |
Spatial prediction of soil particle-size fractions as compositional data IOA Odeh, AJ Todd, J Triantafilis Soil Science 168 (7), 501-515, 2003 | 114 | 2003 |
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 | 99 | 2011 |
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 | 99 | 2009 |
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 | 98 | 2001 |
Electromagnetic conductivity imaging (EMCI) of soil using a DUALEM-421 and inversion modelling software (EM4Soil) J Triantafilis, FAM Santos Geoderma 211, 28-38, 2013 | 97 | 2013 |
Predicting soil physical and chemical properties using vis-NIR in Australian cotton areas D Zhao, M Arshad, N Li, J Triantafilis Catena 196, 104938, 2021 | 84 | 2021 |
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 | 82 | 2001 |
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 | 79 | 2002 |
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 | 77 | 2010 |
Soil exchangeable cations estimation using Vis-NIR spectroscopy in different depths: Effects of multiple calibration models and spiking D Zhao, M Arshad, J Wang, J Triantafilis Computers and Electronics in Agriculture 182, 105990, 2021 | 76 | 2021 |
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 | 76 | 2013 |
Digital mapping of soil classes using decision tree and auxiliary data in the Ardakan region, Iran R Taghizadeh-Mehrjardi, F Sarmadian, B Minasny, J Triantafilis, M Omid Arid Land Research and Management 28 (2), 147-168, 2014 | 75 | 2014 |
Clay content mapping and uncertainty estimation using weighted model averaging D Zhao, J Wang, X Zhao, J Triantafilis Catena 209, 105791, 2022 | 73 | 2022 |