| 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 | 2497 | 2006 |
| Visible and near infrared spectroscopy in soil science B Stenberg, RAV Rossel, AM Mouazen, J Wetterlind Advances in agronomy 107, 163-215, 2010 | 1655 | 2010 |
| Using data mining to model and interpret soil diffuse reflectance spectra RAV Rossel, T Behrens Geoderma 158 (1-2), 46-54, 2010 | 1300 | 2010 |
| 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 | 830 | 2014 |
| A global spectral library to characterize the world's soil RAV Rossel, T Behrens, E Ben-Dor, DJ Brown, JAM Demattê, ... Earth-Science Reviews 155, 198-230, 2016 | 787 | 2016 |
| 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 | 727 | 2008 |
| 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 | 565 | 2006 |
| 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 | 548 | 2009 |
| 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 | 525* | 2011 |
| Colour space models for soil science RAV Rossel, B Minasny, P Roudier, AB Mcbratney Geoderma 133 (3-4), 320-337, 2006 | 522 | 2006 |
| ParLeS: Software for chemometric analysis of spectroscopic data RAV Rossel Chemometrics and intelligent laboratory systems 90 (1), 72-83, 2008 | 392 | 2008 |
| 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 | 333 | 2012 |
| 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 | 316 | 2014 |
| 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 | 271 | 2006 |
| 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 | 261 | 2015 |
| Spectral libraries for quantitative analyses of tropical Brazilian soils: Comparing vis–NIR and mid-IR reflectance data FS Terra, JAM Demattê, RAV Rossel Geoderma 255, 81-93, 2015 | 258 | 2015 |
| 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 | 253 | 1998 |
| 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 | 251 | 2014 |
| Soil chemical analytical accuracy and costs: implications from precision agriculture RAV Rossel, AB McBratney Australian Journal of Experimental Agriculture 38 (7), 765-775, 1998 | 242 | 1998 |
| Soil sensing: A new paradigm for agriculture RAV Rossel, J Bouma Agricultural systems 148, 71-74, 2016 | 241 | 2016 |
