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Raphael VISCARRA ROSSEL
Raphael VISCARRA ROSSEL
Professor
Verified email at curtin.edu.au - Homepage
Title
Cited by
Cited by
Year
Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties
RAV Rossel, DJJ Walvoort, AB McBratney, LJ Janik, JO Skjemstad
Geoderma 131 (1-2), 59-75, 2006
24152006
Visible and near infrared spectroscopy in soil science
B Stenberg, RAV Rossel, AM Mouazen, J Wetterlind
Advances in agronomy 107, 163-215, 2010
15792010
Using data mining to model and interpret soil diffuse reflectance spectra
RAV Rossel, T Behrens
Geoderma 158 (1-2), 46-54, 2010
12402010
The performance of visible, near-, and mid-infrared reflectance spectroscopy for prediction of soil physical, chemical, and biological properties
JM Soriano-Disla, LJ Janik, RA Viscarra Rossel, LM Macdonald, ...
Applied spectroscopy reviews 49 (2), 139-186, 2014
7802014
A global spectral library to characterize the world's soil
RAV Rossel, T Behrens, E Ben-Dor, DJ Brown, JAM Demattę, ...
Earth-Science Reviews 155, 198-230, 2016
7442016
Soil organic carbon prediction by hyperspectral remote sensing and field vis-NIR spectroscopy: An Australian case study
C Gomez, RAV Rossel, AB McBratney
Geoderma 146 (3-4), 403-411, 2008
6972008
Determining the composition of mineral-organic mixes using UV–vis–NIR diffuse reflectance spectroscopy
RAV Rossel, RN McGlynn, AB McBratney
Geoderma 137 (1-2), 70-82, 2006
5372006
In situ measurements of soil colour, mineral composition and clay content by vis–NIR spectroscopy
RAV Rossel, SR Cattle, A Ortega, Y Fouad
Geoderma 150 (3-4), 253-266, 2009
5352009
Colour space models for soil science
RAV Rossel, B Minasny, P Roudier, AB Mcbratney
Geoderma 133 (3-4), 320-337, 2006
5082006
Proximal soil sensing: An effective approach for soil measurements in space and time
RAV Rossel, VI Adamchuk, KA Sudduth, NJ McKenzie, C Lobsey
Advances in agronomy 113, 243-291, 2011
484*2011
ParLeS: Software for chemometric analysis of spectroscopic data
RAV Rossel
Chemometrics and intelligent laboratory systems 90 (1), 72-83, 2008
3842008
Predicting soil properties from the Australian soil visible–near infrared spectroscopic database
RAV Rossel, R Webster
European Journal of Soil Science 63 (6), 848-860, 2012
3152012
Baseline map of organic carbon in Australian soil to support national carbon accounting and monitoring under climate change
RA Viscarra Rossel, R Webster, EN Bui, JA Baldock
Global Change Biology 20 (9), 2953-2970, 2014
3012014
Spectral soil analysis and inference systems: A powerful combination for solving the soil data crisis
AB McBratney, B Minasny, RV Rossel
Geoderma 136 (1-2), 272-278, 2006
2652006
Laboratory evaluation of a proximal sensing technique for simultaneous measurement of soil clay and water content
RAV Rossel, AB McBratney
Geoderma 85 (1), 19-39, 1998
2501998
The Australian three-dimensional soil grid: Australia’s contribution to the GlobalSoilMap project
RAV Rossel, C Chen, MJ Grundy, R Searle, D Clifford, PH Campbell
Soil Research 53 (8), 845-864, 2015
2482015
Spectral libraries for quantitative analyses of tropical Brazilian soils: Comparing vis–NIR and mid-IR reflectance data
FS Terra, JAM Demattę, RAV Rossel
Geoderma 255, 81-93, 2015
2442015
Soil chemical analytical accuracy and costs: implications from precision agriculture
RAV Rossel, AB McBratney
Australian Journal of Experimental Agriculture 38 (7), 765-775, 1998
2361998
Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations
Z Shi, QL Wang, J Peng, WJ Ji, HJ Liu, X Li, RA Viscarra Rossel
Science China Earth Sciences 57, 1671-1680, 2014
2322014
Current and future assessments of soil erosion by water on the Tibetan Plateau based on RUSLE and CMIP5 climate models
H Teng, Z Liang, S Chen, Y Liu, RAV Rossel, A Chappell, W Yu, Z Shi
Science of the Total Environment 635, 673-686, 2018
2232018
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