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Earth Science

D-Index
45
Citations
5737
World Ranking
4569
National Ranking
235

Overview

John Triantafilis is affiliated with the University of New South Wales in Australia and works primarily within the fields of Environmental Science and Engineering. Their research encompasses several subfields, notably Environmental Engineering, Soil Science, Artificial Intelligence, Civil and Structural Engineering, and Geophysics.

The main topics addressed in their work include:

  • Soil Geostatistics and Mapping
  • Geochemistry and Geologic Mapping
  • Soil and Unsaturated Flow
  • Geophysical and Geoelectrical Methods
  • Soil Moisture and Remote Sensing
  • Soil Carbon and Nitrogen Dynamics
  • Mineral Processing and Grinding

John Triantafilis has contributed to numerous papers focusing on soil properties and environmental variables using spectroscopy and remote sensing techniques. Some recent publications are:

  • "Predicting soil physical and chemical properties using vis-NIR in Australian cotton areas", 2020, CATENA
  • "Soil exchangeable cations estimation using Vis-NIR spectroscopy in different depths: Effects of multiple calibration models and spiking", 2021, Computers and Electronics in Agriculture
  • "Using environmental variables and Fourier Transform Infrared Spectroscopy to predict soil organic carbon", 2021, CATENA
  • "Clay content mapping and uncertainty estimation using weighted model averaging", 2021, CATENA
  • "Digital soil mapping and assessment for Australia and beyond: A propitious future", 2021, Geoderma Regional

The scientist frequently publishes in the following venues:

  • CATENA
  • Geoderma Regional
  • Computers and Electronics in Agriculture
  • Agricultural Water Management
  • Geoderma

John Triantafilis collaborates with a network of co-authors with whom multiple joint publications have been produced. Frequent co-authors include:

  • Dongxue Zhao
  • Jie Wang
  • Ehsan Zare
  • Xueyu Zhao
  • Maryem Arshad

Best Publications

  • Five Geostatistical Models to Predict Soil Salinity from Electromagnetic Induction Data Across Irrigated Cotton

    J. Triantafilis;I.O.A. Odeh;A.B. McBratney

  • Mapping clay content variation using electromagnetic induction techniques

    J. Triantafilis;S. M. Lesch

  • Calibrating an Electromagnetic Induction Instrument to Measure Salinity in Soil under Irrigated Cotton

    J. Triantafilis;G. M. Laslett;A. B. McBratney

  • Mapping water table depth using geophysical and environmental variables.

    S. Buchanan;J. Triantafilis

  • 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

  • Spatial prediction of soil particle-size fractions as compositional data

    Inakwu O. A. Odeh;Alison J. Todd;John Triantafilis

  • COMPARISON OF STATISTICAL PREDICTION METHODS FOR ESTIMATING FIELD-SCALE CLAY CONTENT USING DIFFERENT COMBINATIONS OF ANCILLARY VARIABLES

    J. Triantafilis;A. I. Huckel;I. O. A. Odeh

  • Mapping the three-dimensional variation of soil salinity in a rice-paddy soil

    H.Y. Li;H.Y. Li;Z. Shi;R. Webster;J. Triantafilis

  • Creation and Interpolation of Continuous Soil Layer Classes in the Lower Namoi Valley

    J. Triantafilis;W.T. Ward;I.O.A. Odeh;A.B. McBratney

  • Field level digital soil mapping of cation exchange capacity using electromagnetic induction and a hierarchical spatial regression model

    John Triantafilis;Scott Mitchell Lesch;Kevin La Lau;Sam Mostyn Buchanan

  • A spatially constrained 1D inversion algorithm for quasi-3D conductivity imaging: Application to DUALEM-421 data collected in a riverine plain

    Fernando Acácio Monteiro Santos;John Triantafilis;Kira Bruzgulis

  • Electromagnetic Conductivity Imaging (emci) of Soil using a DUALEM-421 and Inversion Modelling Software (EM4Soil)

    J. Triantafilis;F.A. Monteiro Santos

  • Prediction of soil salinity and sodicity using electromagnetic conductivity imaging

    Ana Marta Paz;Nádia Castanheira;Mohammad Farzamian;Maria Catarina Paz

  • Predicting soil physical and chemical properties using vis-NIR in Australian cotton areas

    Dongxue Zhao;Maryem Arshad;Nan Li;John Triantafilis

  • Application of a mobile electromagnetic sensing system (MESS) to assess cause and management of soil salinization in an irrigated cotton‐growing field

    J. Triantafilis;M.F. Ahmed;I.O.A. Odeh

  • Soil exchangeable cations estimation using Vis-NIR spectroscopy in different depths: Effects of multiple calibration models and spiking

    Dongxue Zhao;Maryem Arshad;Jie Wang;John Triantafilis

  • Using environmental variables and Fourier Transform Infrared Spectroscopy to predict soil organic carbon

    Maryam Ghebleh Goydaragh;Maryam Ghebleh Goydaragh;Ruhollah Taghizadeh-Mehrjardi;Ali Asghar Jafarzadeh;John Triantafilis

  • Land suitability assessment in the Namoi Valley of Australia, using a continuous model

    J. Triantafilis;W. T. Ward;A. B. McBratney

  • 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;F. A. Monteiro Santos

  • An inversion approach to generate electromagnetic conductivity images from signal data

    J. Triantafilis;C. H. Terhune;F. A. Monteiro Santos

  • Mapping of salinity risk in the lower Namoi valley using non-linear kriging methods

    J. Triantafilis;I.O.A. Odeh;B. Warr;M.F. Ahmed

  • Digital soil mapping and assessment for Australia and beyond: A propitious future

    Ross Searle;Alexander McBratney;Mike Grundy;Darren Kidd

  • Inversion of multiconfiguration electromagnetic (DUALEM-421) profiling data using a one-dimensional laterally constrained algorithm.

    F. A. Monteiro Santos;J. Triantafilis;K. E. Bruzgulis;J. A. E. Roe

  • Field-scale assessment of deep drainage risk

    J. Triantafilis;A. Huckel;I. Odeh

Frequent Co-Authors

Alex B. McBratney
Alex B. McBratney University of Sydney
Inakwu O. A. Odeh
Inakwu O. A. Odeh University of Sydney
Budiman Minasny
Budiman Minasny University of Sydney
Dennis L. Corwin
Dennis L. Corwin Agricultural Research Service
Scott G Johnston
Scott G Johnston Southern Cross University
Mark R. Thomas
Mark R. Thomas Commonwealth Scientific and Industrial Research Organisation
Zhou Shi
Zhou Shi Zhejiang University
Edward G. Barrett-Lennard
Edward G. Barrett-Lennard University of Western Australia
Dominique Arrouays
Dominique Arrouays INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Mogens Humlekrog Greve
Mogens Humlekrog Greve Aarhus University

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