David J. Brown
Washington State University
39 Papers
54 Citations
David J. Brown is an academic researcher from Washington State University. The author has contributed to research in topics: Soil water & Water content. The author has an hindex of 17, co-authored 39 publications.
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Papers
A global spectral library to characterize the world’s soil
R. A. Viscarra Rossel,Thorsten Behrens,Eyal Ben-Dor,David J. Brown,José Alexandre Melo Demattê,Keith D. Shepherd,Zhou Shi,Bo Stenberg,Antoine Stevens,Viacheslav I. Adamchuk,Hamouda Aichi,Bernard Barthès,Harm Bartholomeus,Anita D. Bayer,Martial Bernoux,Kristin Böttcher,L. Brodský,Changwen Du,Adrian Chappell,Youssef Fouad,Valérie Genot,Cécile Gomez,Sabine Grunwald,Andreas Gubler,César Guerrero,Carolyn Hedley,Maria Knadel,H.J.M. Morrás,Marco Nocita,Leonardo Ramirez-Lopez,Pierre Roudier,E.M. Rufasto Campos,P. Sanborn,V.M. Sellitto,Kenneth A. Sudduth,Barry G. Rawlins,Christian Walter,Leigh A. Winowiecki,Suk Young Hong,Wenjun Ji,Wenjun Ji,Wenjun Ji +41 more
TL;DR: In this article, the authors developed and analyzed a global soil visible-near infrared (vis-NIR) spectral library, which is currently the largest and most diverse database of its kind, and showed that the information encoded in the spectra can describe soil composition and be associated to land cover and its global geographic distribution, which acts as a surrogate for global climate variability.
Soil Spectroscopy: An Alternative to Wet Chemistry for Soil Monitoring
Marco Nocita,Antoine Stevens,Bas van Wesemael,Matt Aitkenhead,Martin Bachmann,Bernard Barthès,Eyal Ben Dor,David J. Brown,Michael Clairotte,Ádám Csorba,Pierre Dardenne,José Alexandre Melo Demattê,Valérie Genot,César Guerrero,Maria Knadel,Luca Montanarella,Carole Noon,Leonardo Ramirez-Lopez,Jean Robertson,Hiro Sakai,José M. Soriano-Disla,Keith D. Shepherd,Bo Stenberg,Erick K. Towett,Ronald Vargas,Johanna Wetterlind +25 more
TL;DR: In this article, the authors describe the state of the art of soil spectroscopy as well as its potential to facilitate soil monitoring, and highlight that the widespread use of spectroscopes to monitor the status of the soil should be encouraged by the creation of a standard for the collection of laboratory soil spectra, to promote the sharing of spectral libraries, and to scan existing soil archives.
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Simulated in situ characterization of soil organic and inorganic carbon with visible near-infrared diffuse reflectance spectroscopy
TL;DR: In this article, the authors used visible and near-infrared (VisNIR, 400-2500nm) diffuse reflectance spectroscopy (DRS) to predict organic and inorganic carbon (C) using partial least squares (PLS) regression.
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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
TL;DR: In this paper, the authors quantified the value of augmenting a large global spectral library with relatively few local calibration samples for VisNIR-DRS predictions of soil clay content (clay), organic carbon content (SOC), and inorganic carbon content(IC).
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Comparison of soil reflectance spectra and calibration models obtained using multiple spectrometers
TL;DR: In this article, partial least squares regression was applied to develop calibration models for soil organic carbon (OC) content using the first derivative spectra, and three calibration transfer methods were used to transfer calibration models from one instrument to another.
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