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Earth Science

D-Index
97
Citations
41230
World Ranking
156
National Ranking
17

Overview

Budiman Minasny is affiliated with the University of Sydney in Australia and works primarily in the fields of Environmental Science and Agricultural and Biological Sciences. Their research spans several subfields, including Environmental Engineering, Soil Science, Ecology, Artificial Intelligence, and Civil and Structural Engineering.

The scientist's work covers various topics related to soils and environmental processes. These topics include:

  • Soil Geostatistics and Mapping
  • Soil Carbon and Nitrogen Dynamics
  • Geochemistry and Geologic Mapping
  • Soil and Unsaturated Flow
  • Soil Moisture and Remote Sensing
  • Soil erosion and sediment transport
  • Peatlands and Wetlands Ecology

Budiman Minasny has contributed to multiple recent publications, including:

  • Towards a global-scale soil climate mitigation strategy, 2020, Nature Communications
  • Machine learning for digital soil mapping: Applications, challenges and suggested solutions, 2020, Earth-Science Reviews
  • Digital mapping of GlobalSoilMap soil properties at a broad scale: A review, 2021, Geoderma
  • Machine learning and soil sciences: a review aided by machine learning tools, 2020, SOIL
  • Ensuring planetary survival: the centrality of organic carbon in balancing the multifunctional nature of soils, 2022, Critical Reviews in Environmental Science and Technology

The scientist frequently publishes in journals such as Geoderma, Soil Security, Geoderma Regional, European Journal of Soil Science, and CATENA.

Collaborations are a significant aspect of their work, with frequent co-authors including:

  • Alex B. McBratney
  • Alexandre M.J.-C. Wadoux
  • Brendan Malone
  • Wartini Ng
  • Mercedes Román Dobarco

Budiman Minasny is also an author of a book titled Soil Spectral Inference with R, published by Springer International Publishing in 2021. This publication has accumulated citations in academic literature, indicating engagement from the research community.

Best Publications

  • On digital soil mapping

    A.B McBratney;M.L Mendonça Santos;B Minasny

  • Soil carbon 4 per mille

    Budiman Minasny;Brendan P. Malone;Alex B. McBratney;Denis A. Angers

  • The knowns, known unknowns and unknowns of sequestration of soil organic carbon

    Uta Stockmann;Mark A. Adams;John W. Crawford;Damien J. Field

  • A conditioned Latin hypercube method for sampling in the presence of ancillary information

    Budiman Minasny;Alex B. McBratney

  • Modeling Soil Processes: Review, Key Challenges, and New Perspectives

    H. Vereecken;A. Schnepf;J. W. Hopmans;M. Javaux

  • Digital soil mapping: A brief history and some lessons

    Budiman Minasny;Alex.B. McBratney

  • Towards a global-scale soil climate mitigation strategy.

    W Amelung;W Amelung;D Bossio;W de Vries;I Kögel-Knabner

  • Digital Soil Map of the World

    Pedro A. Sanchez;Sonya Ahamed;Florence Carré;Alfred E. Hartemink

  • Mapping continuous depth functions of soil carbon storage and available water capacity

    Brendan Malone;Alexander McBratney;Budiman Minasny;G M Laslett

  • From pedotransfer functions to soil inference systems

    Alex B McBratney;Budiman Minasny;Stephen R Cattle;R.Willem Vervoort

  • Limited effect of organic matter on soil available water capacity

    B. Minasny;A. B. McBratney

  • Comparison of different approaches to the development of pedotransfer functions for water-retention curves

    Budiman Minasny;Alex B. McBratney;Keith L. Bristow

  • Machine learning for digital soil mapping: Applications, challenges and suggested solutions

    Alexandre M.J.-C. Wadoux;Budiman Minasny;Alex B. McBratney

  • Pedotransfer functions in Earth system science: challenges and perspectives

    Kris Van Looy;Johan Bouma;Michael Herbst;John Koestel

  • Digital mapping of soil carbon

    Budiman Minasny;Alex B. McBratney;Brendan P. Malone;Ichsani Wheeler

  • Colour space models for soil science

    R.A. Viscarra Rossel;B. Minasny;P. Roudier;P. Roudier;A.B. McBratney

  • Digital mapping of GlobalSoilMap soil properties at a broad scale: A review

    Songchao Chen;Dominique Arrouays;Vera Leatitia Mulder;Laura Poggio

  • GlobalSoilMap: Toward a Fine-Resolution Global Grid of Soil Properties

    Dominique Arrouays;Michael G. Grundy;Alfred E. Hartemink;Jonathan W. Hempel

  • Convolutional neural network for simultaneous prediction of several soil properties using visible/near-infrared, mid-infrared, and their combined spectra

    Wartini Ng;Budiman Minasny;Maryam Montazerolghaem;Jose Padarian

  • Using deep learning to predict soil properties from regional spectral data

    J. Padarian;B. Minasny;A.B. McBratney

  • Soil Security: Solving the Global Soil Crisis

    Andrea Koch;Alex McBratney;Mark Adams;Damien Field

  • The neuro-m method for fitting neural network parametric pedotransfer functions

    Budiman Minasny;Alex. B. McBratney

  • The Matérn function as a general model for soil variograms

    Budiman Minasny;Alex. B. McBratney

  • Removing the effect of soil moisture from NIR diffuse reflectance spectra for the prediction of soil organic carbon

    Budiman Minasny;Alex B. McBratney;Veronique Bellon-Maurel;Jean-Michel Roger

Frequent Co-Authors

Alex B. McBratney
Alex B. McBratney University of Sydney
Alfred E. Hartemink
Alfred E. Hartemink University of Wisconsin–Madison
Dominique Arrouays
Dominique Arrouays INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
John Triantafilis
John Triantafilis University of New South Wales
Mogens Humlekrog Greve
Mogens Humlekrog Greve Aarhus University
Christian Walter
Christian Walter Institut Agro, France
Inakwu O. A. Odeh
Inakwu O. A. Odeh University of Sydney
Denis A. Angers
Denis A. Angers Agriculture and Agriculture-Food Canada
Luca Montanarella
Luca Montanarella European Commission
Nicolas P.A. Saby
Nicolas P.A. Saby INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement

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