R
Raphael A. Viscarra Rossel
Researcher at Commonwealth Scientific and Industrial Research Organisation
Publications - 67
Citations - 4350
Raphael A. Viscarra Rossel is an academic researcher from Commonwealth Scientific and Industrial Research Organisation. The author has contributed to research in topics: Soil water & Soil test. The author has an hindex of 30, co-authored 67 publications receiving 3195 citations.
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Book ChapterDOI
Visible and Near Infrared Spectroscopy in Soil Science
TL;DR: A review on the state of soil visible-near infrared (vis-NIR) spectroscopy is provided in this article, focusing on important soil attributes such as soil organic matter (SOM), minerals, texture, nutrients, water, pH, and heavy metals.
Journal ArticleDOI
The Performance of Visible, Near-, and Mid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical, Chemical, and Biological Properties
José M. Soriano-Disla,Les J. Janik,Raphael A. Viscarra Rossel,Lynne M. Macdonald,Mike J. McLaughlin +4 more
TL;DR: In this article, the applicability of visible (Vis), near-infrared (NIR), and mid infrared (MIR) reflectance spectroscopy for the prediction of soil properties is discussed.
Journal ArticleDOI
Baseline map of organic carbon in Australian soil to support national carbon accounting and monitoring under climate change.
TL;DR: As the most reliable approximation of the stock of organic C in Australian soil in 2010, these estimates have important applications and could support Australia's National Carbon Accounting System, help guide the formulation of policy around carbon offset schemes, improve Australia's carbon balances and provide a benchmark against which to assess the impact of changes in land cover, land management and climate.
Journal ArticleDOI
Current and future assessments of soil erosion by water on the Tibetan Plateau based on RUSLE and CMIP5 climate models.
Hongfen Teng,Zongzheng Liang,Songchao Chen,Yong Liu,Raphael A. Viscarra Rossel,Adrian Chappell,Wu Yu,Zhou Shi +7 more
TL;DR: The results show that the mean annual soil erosion rate on the TP under current conditions is 2.76tha-1y-1, which is equivalent to an annual soil loss of 559×106t, and that soil erosion by water in 2050 was predicted using rainfall erosivity in 2050 and other erosion factors.
Journal ArticleDOI
Spectral libraries for quantitative analyses of tropical Brazilian soils: Comparing vis–NIR and mid-IR reflectance data
TL;DR: In this article, the authors used support vector machine (SVM) to predict physical, chemical, and mineralogical soil properties using vis-NIR and mid-IR spectral libraries and statistically compare their modeling performances.