Search Results - "Rossel, R."

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  1. 1

    Automated spectroscopic modelling with optimised convolutional neural networks by Shen, Zefang, Viscarra Rossel, R. A.

    Published in Scientific reports (08-01-2021)
    “…Convolutional neural networks (CNN) for spectroscopic modelling are currently tuned manually, and the effects of their hyperparameters are not analysed. These…”
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  2. 2

    Continental-scale soil carbon composition and vulnerability modulated by regional environmental controls by Viscarra Rossel, R. A., Lee, J., Behrens, T., Luo, Z., Baldock, J., Richards, A.

    Published in Nature geoscience (01-07-2019)
    “…Soil organic carbon (C) is an essential component of the global C cycle. Processes that control its composition and dynamics over large scales are not well…”
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  3. 3

    Wavelet geographically weighted regression for spectroscopic modelling of soil properties by Song, Yongze, Shen, Zefang, Wu, Peng, Viscarra Rossel, R. A.

    Published in Scientific reports (01-09-2021)
    “…Soil properties, such as organic carbon, pH and clay content, are critical indicators of ecosystem function. Visible–near infrared (vis–NIR) reflectance…”
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  4. 4

    Predicting soil properties from the Australian soil visible-near infrared spectroscopic database by Rossel, R. A. Viscarra, Webster, R.

    Published in European journal of soil science (01-12-2012)
    “…There are reflectance spectra in the visible and near infrared wavelengths from some 20 000 archived samples of soil in Australia. Their particular forms…”
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  5. 5

    Spatial modelling with Euclidean distance fields and machine learning by Behrens, T., Schmidt, K., Viscarra Rossel, R. A., Gries, P., Scholten, T., MacMillan, R. A.

    Published in European journal of soil science (01-09-2018)
    “…Summary This study introduces a hybrid spatial modelling framework, which accounts for spatial non‐stationarity, spatial autocorrelation and environmental…”
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  6. 6

    Accounting for the effects of water and the environment on proximally sensed vis-NIR soil spectra and their calibrations by Ji, W., Viscarra Rossel, R. A., Shi, Z.

    Published in European journal of soil science (01-05-2015)
    “…Summary Visible–near infrared (vis–NIR) spectroscopy can be used to estimate soil properties effectively using spectroscopic calibrations derived from data…”
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  7. 7

    Fine-resolution multiscale mapping of clay minerals in Australian soils measured with near infrared spectra by Viscarra Rossel, R. A.

    Published in Journal of Geophysical Research (01-12-2011)
    “…Clay minerals are the most reactive inorganic components of soils. They help to determine soil properties and largely govern their behaviors and functions…”
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  8. 8

    Prediction of soil organic matter using a spatially constrained local partial least squares regression and the Chinese vis-NIR spectral library by Shi, Z., Ji, W., Viscarra Rossel, R. A., Chen, S., Zhou, Y.

    Published in European journal of soil science (01-07-2015)
    “…Summary We need to determine the best use of soil vis–NIR spectral libraries that are being developed at regional, national and global scales to predict soil…”
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  9. 9

    Soil organic carbon and its fractions estimated by visible-near infrared transfer functions by Viscarra Rossel, R. A., Hicks, W. S.

    Published in European journal of soil science (01-05-2015)
    “…Summary The capture and storage of soil organic carbon (OC) should improve the soil's quality and function and help to offset the emissions of greenhouse…”
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  10. 10

    Digitally mapping the information content of visible–near infrared spectra of surficial Australian soils by Rossel, R.A. Viscarra, Chen, C.

    Published in Remote sensing of environment (15-06-2011)
    “…We can use soil mapping to gain a better understanding of the soil and how it varies in the landscape. Good quality data sets that represent the survey area…”
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  11. 11
  12. 12

    In situ measurements of soil colour, mineral composition and clay content by vis–NIR spectroscopy by Viscarra Rossel, R.A., Cattle, S.R., Ortega, A., Fouad, Y.

    Published in Geoderma (15-05-2009)
    “…Proximal soil sensing (PSS) using portable visible–near infrared (vis–NIR: 400–2500 nm) spectrophotometers can be used to measure soil properties in situ. The…”
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  13. 13
  14. 14

    How much organic carbon could the soil store? The carbon sequestration potential of Australian soil by Viscarra Rossel, R. A., Webster, R., Zhang, M., Shen, Z., Dixon, K., Wang, Y.‐P., Walden, L.

    Published in Global change biology (01-01-2024)
    “…Soil is a huge carbon (C) reservoir, but where and how much extra C can be stored is unknown. Current methods to estimate the maximum amount of…”
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  15. 15

    Environmental controls of soil fungal abundance and diversity in Australia's diverse ecosystems by Viscarra Rossel, R.A., Yang, Yuanyuan, Bissett, Andrew, Behrens, Thorsten, Dixon, Kingsley, Nevil, Paul, Li, Shuo

    Published in Soil biology & biochemistry (01-07-2022)
    “…Soil fungi are vital for ecosystem functioning, but an understanding of their ecology is still growing. A better appreciation of their ecological preferences…”
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  16. 16

    Discrimination of Australian soil horizons and classes from their visible-near infrared spectra by Viscarra Rossel, R. A., Webster, R.

    Published in European journal of soil science (01-08-2011)
    “…A soil's reflectance spectrum in the visible and near infrared is rich in information. It is an integrative property of the soil that measures its colour, the…”
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  17. 17

    Improved estimates of organic carbon using proximally sensed vis-NIR spectra corrected by piecewise direct standardization by Ji, W., Viscarra Rossel, R. A., Shi, Z.

    Published in European journal of soil science (01-07-2015)
    “…Summary We investigated the use of piecewise direct standardization (PDS) to remove the effects of water and other environmental factors from proximally sensed…”
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  18. 18

    Multiple observation types reduce uncertainty in Australia's terrestrial carbon and water cycles by Haverd, V, Raupach, M. R, Briggs, P. R, Canadell, J. G, Isaac, P, Pickett-Heaps, C, Roxburgh, S. H, van Gorsel, E, Viscarra Rossel, R. A, Wang, Z

    Published in Biogeosciences (25-03-2013)
    “…Information about the carbon cycle potentially constrains the water cycle, and vice versa. This paper explores the utility of multiple observation sets to…”
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  19. 19

    Evaluation of two methods to eliminate the effect of water from soil vis–NIR spectra for predictions of organic carbon by Roudier, P., Hedley, C.B., Lobsey, C.R., Viscarra Rossel, R.A., Leroux, C.

    Published in Geoderma (15-06-2017)
    “…Visible near infrared reflectance spectroscopy (vis–NIR) is an increasingly popular measurement method that can provide cheaper and faster predictions of soil…”
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  20. 20

    Sensing of soil bulk density for more accurate carbon accounting by Lobsey, C. R., Viscarra Rossel, R. A.

    Published in European journal of soil science (01-07-2016)
    “…Summary Measurements of soil bulk density can aid our understanding of soil functions and the effects of land use and climate change on soil organic carbon (C)…”
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