SoilGrids250m: Global gridded soil information based on machine learning T Hengl, J Mendes de Jesus, GBM Heuvelink, M Ruiperez Gonzalez, ... PLoS one 12 (2), e0169748, 2017 | 2026 | 2017 |
The knowns, known unknowns and unknowns of sequestration of soil organic carbon U Stockmann, MA Adams, JW Crawford, DJ Field, N Henakaarchchi, ... Agriculture, Ecosystems & Environment 164, 80-99, 2013 | 1281 | 2013 |
Digital mapping of soil carbon B Minasny, AB McBratney, BP Malone, I Wheeler Advances in agronomy 118, 1-47, 2013 | 362 | 2013 |
Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning T Hengl, JGB Leenaars, KD Shepherd, MG Walsh, G Heuvelink, T Mamo, ... Nutrient Cycling in Agroecosystems 109 (1), 77-102, 2017 | 171 | 2017 |
Soils and climate change: potential impacts on carbon stocks and greenhouse gas emissions, and future research for Australian agriculture JA Baldock, I Wheeler, N McKenzie, A McBrateny Crop and Pasture Science 63 (3), 269-283, 2012 | 115 | 2012 |
Farm-scale soil carbon auditing JJ Gruijter, A McBratney, B Minasny, I Wheeler, BP Malone, U Stockmann Pedometrics, 693-720, 2018 | 86 | 2018 |
Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potential T Hengl, MG Walsh, J Sanderman, I Wheeler, SP Harrison, IC Prentice PeerJ 6, e5457, 2018 | 70 | 2018 |
A general method for downscaling earth resource information BP Malone, AB McBratney, B Minasny, I Wheeler Computers & Geosciences 41, 119-125, 2012 | 51 | 2012 |
African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning T Hengl, MAE Miller, J Križan, KD Shepherd, A Sila, M Kilibarda, ... Scientific Reports 11 (1), 1-18, 2021 | 39 | 2021 |
Frameworks for digital soil assessment AB McBratney, B Minasny, I Wheeler, BP Malone, D Van Der Linden Digital Soil Assessment and Beyond. Taylor & Francis Group, London, 9-14, 2012 | 30 | 2012 |
A brief introduction to Open Data, Open Source Software and Collective Intelligence for environmental data creators and users T Hengl, I Wheeler, RA MacMillan PeerJ Preprints 6, e27127v2, 2018 | 6 | 2018 |
Digital soil mapping to inform design-based sampling strategies for estimating total organic carbon stocks at the farm scale I Wheeler, AB McBratney, B Minasny, JJ De Gruijter Digital Soil Assessments and Beyond—Proceedings of the Fifth Global …, 2012 | 6 | 2012 |
Using model predictions of soil carbon in farm-scale auditing-A software tool JJ de Gruijter, I Wheeler, BP Malone Agricultural Systems 169, 24-30, 2019 | 5 | 2019 |
The auditability of soil carbon at the farm scale I Wheeler University of Sydney., 2014 | 3 | 2014 |
The dramatic effect of preferential sampling of spatial data on variance estimates D Clifford, P Kuhnert, M Dobbie, J Baldock, N McKenzie, B Harch, ... Australian Mathematical Sciences Institute Conference, Queensland University …, 2011 | 2 | 2011 |
The effect of preferential sampling on sampling variance D Clifford, P Kuhnert, M Dobbie, J Baldock, B Harch, N McKenzie, ... minasny, b., malone, bP & mcbratney, aB (eds.), digital soil assessments and …, 2012 | 1 | 2012 |
Using model predictions of soil carbon in farm-scale auditing-A software tool (vol 169, pg 24, 2019) JJ de Gruijter, I Wheeler, BP Malone AGRICULTURAL SYSTEMS 183, 2020 | | 2020 |
Corrigendum to “Using model predictions of soil carbon in farm-scale auditing—A software tool” JJ de Gruijter, I Wheeler, BP Malone Agricultural Systems 183, 102751, 2020 | | 2020 |
A Julia package for farm-scale soil carbon auditing JJ de Gruijter, I Wheeler, BP Malone PeerJ Preprints, 2018 | | 2018 |
Sampling and monitoring in DSM The effect of preferential sampling on sampling variance D Clifford, P Kuhnert, M Dobbie, J Baldock, B Harch, NJ McKenzie, ... Digital Soil Assessments and Beyond, 239-242, 2012 | | 2012 |