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R. A. Viscarra Rossel

R. A. Viscarra Rossel

D-Index & Metrics

Environmental Sciences

D-Index
71
Citations
22088
World Ranking
1554
National Ranking
72

Overview

R. A. Viscarra Rossel is affiliated with Curtin University in Australia and has contributed extensively to the fields of Environmental Science and Agricultural and Biological Sciences. Their research primarily focuses on soil science, incorporating a range of subfields such as Environmental Engineering, Soil Science, Ecology, Artificial Intelligence, and Analytical Chemistry.

The scientist's work covers several main topics, including:

  • Soil Geostatistics and Mapping
  • Soil Carbon and Nitrogen Dynamics
  • Geochemistry and Geologic Mapping
  • Spectroscopy and Chemometric Analyses
  • Peatlands and Wetlands Ecology
  • Soil and Water Nutrient Dynamics
  • Soil and Unsaturated Flow

R. A. Viscarra Rossel has authored a number of papers published in various reputable journals. Recent publications include:

  • Diffuse reflectance spectroscopy for estimating soil properties: A technology for the 21st century, 2022, European Journal of Soil Science
  • Improved global-scale predictions of soil carbon stocks with Millennial Version 2, 2021, Soil Biology and Biochemistry
  • Size, distribution, and vulnerability of the global soil inorganic carbon, 2024, Science
  • Microbial dynamics and soil physicochemical properties explain large-scale variations in soil organic carbon, 2020, Global Change Biology
  • Distinct controls over the temporal dynamics of soil carbon fractions after land use change, 2020, Global Change Biology

The scientist has frequently published in the following venues:

  • SOIL
  • European Journal of Soil Science
  • Geoderma
  • Zenodo (CERN European Organization for Nuclear Research)
  • SSRN Electronic Journal

Collaborations play a considerable role in their research output, with frequent co-authors including:

  • Zefang Shen
  • Mingxi Zhang
  • Lewis Walden
  • Zhongkui Luo
  • Thorsten Behrens

Best Publications

  • Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties

    R.A. Viscarra Rossel;D.J.J. Walvoort;A.B. McBratney;L.J. Janik

  • Visible and Near Infrared Spectroscopy in Soil Science

    Bo Stenberg;Raphael A. Viscarra Rossel;Abdul Mounem Mouazen;Johanna Wetterlind

  • Using data mining to model and interpret soil diffuse reflectance spectra.

    R.A. Viscarra Rossel;T. Behrens

  • The Performance of Visible, Near-, and Mid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical, Chemical, and Biological Properties

    José M. Soriano-Disla;Les J. Janik;Raphael A. Viscarra Rossel;Lynne M. Macdonald

  • A global spectral library to characterize the world’s soil

    R.A. Viscarra Rossel;T. Behrens;E. Ben-Dor;D.J. Brown

  • Soil organic carbon prediction by hyperspectral remote sensing and field vis-NIR spectroscopy: An Australian case study

    Cécile Gomez;Raphael A. Viscarra Rossel;Alex B. McBratney

  • Determining the composition of mineral-organic mixes using UV–vis–NIR diffuse reflectance spectroscopy

    R.A. Viscarra Rossel;R.N. McGlynn;A.B. McBratney

  • In situ measurements of soil colour, mineral composition and clay content by vis–NIR spectroscopy

    R.A. Viscarra Rossel;S.R. Cattle;A. Ortega;Youssef Fouad

  • Colour space models for soil science

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

  • Proximal Soil Sensing: An Effective Approach for Soil Measurements in Space and Time

    R.A. Viscarra Rossel;V.I. Adamchuk;K.A. Sudduth;N.J. McKenzie

  • ParLeS: Software for chemometric analysis of spectroscopic data

    Unknown

  • Predicting soil properties from the Australian soil visible-near infrared spectroscopic database

    R. A. Viscarra Rossel;R. Webster

  • Baseline map of organic carbon in Australian soil to support national carbon accounting and monitoring under climate change.

    Raphael A. Viscarra Rossel;Richard Webster;Elisabeth N. Bui;Jeff A. Baldock

  • Spectral soil analysis and inference systems : A powerful combination for solving the soil data crisis

    Alex B. McBratney;Budiman Minasny;Raphael Viscarra Rossel

  • Current and future assessments of soil erosion by water on the Tibetan Plateau based on RUSLE and CMIP5 climate models.

    Hongfen Teng;Zongzheng Liang;Songchao Chen;Yong Liu

  • The Australian three-dimensional soil grid: Australia’s contribution to the GlobalSoilMap project

    R. A. Viscarra Rossel;C. Chen;M. J. Grundy;R. Searle

  • Spectral libraries for quantitative analyses of tropical Brazilian soils: Comparing vis–NIR and mid-IR reflectance data

    Fabrício S. Terra;José A.M. Demattê;Raphael A. Viscarra Rossel

  • Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations

    Zhou Shi;QianLong Wang;Jie Peng;WenJun Ji

  • Laboratory evaluation of a proximal sensing technique for simultaneous measurement of soil clay and water content

    R.A. Viscarra Rossel;A.B. McBratney

  • Soil and landscape grid of Australia.

    M. J. Grundy;R. A. Viscarra Rossel;R. D. Searle;P. L. Wilson

  • Soil chemical analytical accuracy and costs: implications from precision agriculture

    R. A. Viscarra Rossel;A. B. McBratney

Frequent Co-Authors

Alex B. McBratney
Alex B. McBratney University of Sydney
Zhou Shi
Zhou Shi Zhejiang University
Thorsten Behrens
Thorsten Behrens University of Tübingen
Christian Walter
Christian Walter Institut Agro, France
José Alexandre Melo Demattê
José Alexandre Melo Demattê Universidade de São Paulo
Adrian Chappell
Adrian Chappell Cardiff University
Carolyn Hedley
Carolyn Hedley Landcare Research
Chengrong Chen
Chengrong Chen Griffith University
Asim Biswas
Asim Biswas University of Guelph
Karsten Schmidt
Karsten Schmidt University of Tübingen

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