To spike or to localize? Strategies to improve the prediction of local soil properties using regional spectral library

Strategies to improve the prediction of bulk soil and fraction organic carbon in Brazilian samples by using an Australian national mid-infrared spectral library

(2020) Clever Briedis et al.   GEODERMA

Improvement in spectral library-based quantification of soil properties using representative spiking and local calibration – The case of soil inorganic carbon prediction by mid-infrared spectroscopy

(2020) Bernard G. Barthès et al.   GEODERMA

Developing a soil spectral library using a low-cost NIR spectrometer for precision fertilization in Indonesia

(2020) Wartini Ng et al.   Geoderma Regional

Transfer learning to localise a continental soil vis-NIR calibration model

(2019) J. Padarian et al.   GEODERMA

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

(2019) Wartini Ng et al.   GEODERMA

Strategies for the efficient estimation of soil organic carbon at the field scale with vis-NIR spectroscopy: Spectral libraries and spiking vs. local calibrations

(2019) Michael Seidel et al.   GEODERMA

In search of an optimum sampling algorithm for prediction of soil properties from infrared spectra

(2018) Wartini Ng et al.   PeerJ

A global spectral library to characterize the world's soil

(2016) R.A. Viscarra Rossel et al.   EARTH-SCIENCE REVIEWS

Do we really need large spectral libraries for local scale SOC assessment with NIR spectroscopy?

(2016) César Guerrero et al.   SOIL & TILLAGE RESEARCH

Visible, Near-Infrared, and Mid-Infrared Spectroscopy Applications for Soil Assessment with Emphasis on Soil Organic Matter Content and Quality: State-of-the-Art and Key Issues

(2013) Asa Gholizadeh et al.   APPLIED SPECTROSCOPY

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

(2013) José M. Soriano-Disla et al.   APPLIED SPECTROSCOPY REVIEWS

The spectrum-based learner: A new local approach for modeling soil vis–NIR spectra of complex datasets

(2013) Leonardo Ramirez-Lopez et al.   GEODERMA

Which strategy is best to predict soil properties of a local site from a national Vis–NIR database?

(2013) Fabien Gogé et al.   GEODERMA

Prediction of Soil Organic Carbon at the European Scale by Visible and Near InfraRed Reflectance Spectroscopy

(2013) Antoine Stevens et al.   PLoS One

Prediction of soil organic and inorganic carbon contents at a national scale (France) using mid-infrared reflectance spectroscopy (MIRS)

(2012) C. Grinand et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Distance and similarity-search metrics for use with soil vis–NIR spectra

(2012) L. Ramirez-Lopez et al.   GEODERMA

Near-infrared spectroscopy for within-field soil characterization: small local calibrations compared with national libraries spiked with local samples

(2010) J. Wetterlind et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Spiking of NIR regional models using samples from target sites: Effect of model size on prediction accuracy

(2010) César Guerrero et al.   GEODERMA

Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy

(2010) Véronique Bellon-Maurel et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

Using a legacy soil sample to develop a mid-IR spectral library

(2008) R. A. Viscarra Rossel et al.   AUSTRALIAN JOURNAL OF SOIL RESEARCH

Regression rules as a tool for predicting soil properties from infrared reflectance spectroscopy

(2008) Budiman Minasny et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Comparing local vs. global visible and near-infrared (VisNIR) diffuse reflectance spectroscopy (DRS) calibrations for the prediction of soil clay, organic C and inorganic C

(2008) Joel B. Sankey et al.   GEODERMA