Developing the Australian mid-infrared spectroscopic database using data from the Australian Soil Resource Information System

QR Code

Developing the Australian mid-infrared spectroscopic database using data from the Australian Soil Resource Information System

We developed and tested spectroscopic models derived by partial least squares regression (PLSR) using data from the Commonwealth Scientific and Industrial Research Organisation's (CSIRO) national soil database (NatSoil) and soil samples from the Australian National Soil Archive. Models were con...

Full description

Bibliographic Details
Main Authors:	Hicks, W., Viscarra Rossel, Raphael, Tuomi, S.
Format:	Journal Article
Published:	2015
Online Access:	http://hdl.handle.net/20.500.11937/74438

Similar Items

How does grinding affect the mid-infrared spectra of soil and their multivariate calibrations to texture and organic carbon?
by: Le Guillou, F., et al.
Published: (2015)

Soil organic carbon and its fractions estimated by visible-near infrared transfer functions
by: Viscarra Rossel, Raphael, et al.
Published: (2015)

Proximal soil sensing of soil texture and organic matter with a prototype portable mid-infrared spectrometer
by: Dhawale, N., et al.
Published: (2015)

A new detailed map of total phosphorus stocks in Australian soil
by: Viscarra Rossel, Raphael, et al.
Published: (2016)

Updating a national soil classification with spectroscopic predictions and digital soil mapping
by: Teng, H., et al.
Published: (2018)

The performance of visible, near-, and mid-infrared reflectance spectroscopy for prediction of soil physical, chemical, and biological properties
by: Soriano-Disla, J., et al.
Published: (2014)

Spectral libraries for quantitative analyses of tropical Brazilian soils: Comparing vis-NIR and mid-IR reflectance data
by: Terra, F., et al.
Published: (2015)

Guest Editorial: Near infrared spectroscopy for a better understanding of soil
by: Viscarra Rossel, Raphael, et al.
Published: (2016)

Toxicity and bioaccumulation of Cu in an accumulator crop (Lactuca sativa L.) in different Australian agricultural soils
by: Sacristán, D., et al.
Published: (2015)

The Australian three-dimensional soil grid: Australia's contribution to the GlobalSoilMap project
by: Viscarra Rossel, Raphael, et al.
Published: (2015)

Applications of proximal sensing to soil science
by: Viscarra Rossel, Raphael
Published: (2014)

Baseline map of organic carbon in Australian soil to support national carbon accounting and monitoring under climate change
by: Viscarra Rossel, Raphael, et al.
Published: (2014)

Australian net (1950s-1990) soil organic carbon erosion: Implications for CO2 emission and land-atmosphere modelling
by: Chappell, A., et al.
Published: (2014)

Using Mid-Infrared Spectroscopic Fingerprinting, Multivariate Analysis And Machine Learning To Differentiate Traditional Herbal Medicine
by: Yeap, Zhao Qin
Published: (2022)

Soil classification using visible/near-infrared diffuse reflectance spectra from multiple depths
by: Vasques, G., et al.
Published: (2014)

Proximal sensing for soil carbon accounting
by: England, J., et al.
Published: (2018)

Soil sensing: A new paradigm for agriculture
by: Viscarra Rossel, Raphael, et al.
Published: (2016)

Assimilating satellite imagery and visible-near infrared spectroscopy to model and map soil loss by water erosion in Australia
by: Teng, H., et al.
Published: (2016)

Sensing of soil bulk density for more accurate carbon accounting
by: Lobsey, C., et al.
Published: (2016)

The cost-efficiency and reliability of two methods for soil organic C accounting
by: Viscarra Rossel, Raphael, et al.
Published: (2018)

Mid-Career Challenges in Australian Universities
by: Bowyer, Dorothea Maria, et al.
Published: (2022)

Diffuse reflectance spectroscopy characterises the functional chemistry of soil organic carbon in agricultural soils
by: Wetterlind, J., et al.
Published: (2022)

An imperative for soil spectroscopic modelling is to think global but fit local with transfer learning
by: Viscarra Rossel, Raphael, et al.
Published: (2024)

Accounting for the effects of water and the environment on proximally sensed vis-NIR soil spectra and their calibrations
by: Ji, W., et al.
Published: (2015)

Towards mid-infrared fibre lasing
by: Nunes, Joel
Published: (2024)

rs-local data-mines information from spectral libraries to improve local calibrations
by: Lobsey, C., et al.
Published: (2017)

Multi-spectroscopic and elemental characterization of southern Australian asphaltites
by: Scarlett, Alan, et al.
Published: (2019)

Mid-life Australians and the housing aspirations gap
by: Stone, Wendy, et al.
Published: (2020)

Continental soil drivers of ammonium and nitrate in Australia
by: Lee, Juhwan, et al.
Published: (2018)

How much organic carbon could the soil store? The carbon sequestration potential of Australian soil
by: Viscarra Rossel, R.A., et al.
Published: (2024)

Selected papers from the Third Global Workshop on Proximal Soil Sensing 2013
by: Viscarra Rossel, Raphael, et al.
Published: (2015)

Proximal sensing of Cu in soil and lettuce using portable X-ray fluorescence spectrometry
by: Sacristán, D., et al.
Published: (2016)

Spectral fusion by Outer Product Analysis (OPA) to improve predictions of soil organic C
by: Terra, F., et al.
Published: (2019)

Proximal spectral sensing in pedological assessments: vis–NIR spectra for soil classification based on weathering and pedogenesis
by: Terra, F., et al.
Published: (2018)

Can the sequestered carbon in agricultural soil be maintained with changes in management, temperature and rainfall? A sensitivity assessment
by: Luo, Z., et al.
Published: (2016)

The Spitzer mid-infrared active galactic nucleus survey. I. Optical and near-infrared spectroscopy of obscured candidates and normal active galactic nuclei selected in the mid-infrared
by: Lacy, M., et al.
Published: (2013)

Prediction of soil attributes using the Chinese soil spectral library and standardized spectra recorded at field conditions
by: Ji, W., et al.
Published: (2016)

IT governance structures and their effectiveness in Australian universities
by: Hicks, Michael John
Published: (2012)

The mid-infrared environments of high-redshift radio galaxies
by: Galametz, A., et al.
Published: (2012)

Electronic Properties of Novel Mid-Infrared Materials and Devices
by: Di Paola, D.M.
Published: (2019)

Cannot write session to /tmp/vufind_sessions/sess_gdg6pttrk1g2gqcj1tqhkotghl