Machine learning for digital soil mapping: Applications, challenges and suggested solutions AMJC Wadoux, B Minasny, AB McBratney Earth-Science Reviews 210, 103359, 2020 | 309 | 2020 |
Spatial cross-validation is not the right way to evaluate map accuracy AMJC Wadoux, GBM Heuvelink, S De Bruin, DJ Brus Ecological Modelling 457, 109692, 2021 | 138 | 2021 |
Sampling design optimization for soil mapping with random forest AMJC Wadoux, DJ Brus, GBM Heuvelink Geoderma 355, 113913, 2019 | 116 | 2019 |
Multi-source data integration for soil mapping using deep learning AMJC Wadoux, J Padarian, M Budiman Soil 5 (1), 107-119, 2019 | 92 | 2019 |
Using deep learning for multivariate mapping of soil with quantified uncertainty AMJC Wadoux Geoderma 351, 59-70, 2019 | 89 | 2019 |
A note on knowledge discovery and machine learning in digital soil mapping AMJC Wadoux, A Samuel‐Rosa, L Poggio, VL Mulder European Journal of Soil Science 71 (2), 133-136, 2020 | 80 | 2020 |
Incorporating limited field operability and legacy soil samples in a hypercube sampling design for digital soil mapping F Stumpf, K Schmidt, T Behrens, S Schönbrodt‐Stitt, G Buzzo, ... Journal of Plant Nutrition and Soil Science 179 (4), 499-509, 2016 | 59 | 2016 |
Uncertainty-guided sampling to improve digital soil maps F Stumpf, K Schmidt, P Goebes, T Behrens, S Schönbrodt-Stitt, A Wadoux, ... Catena 153, 30-38, 2017 | 51 | 2017 |
Robust soil mapping at the farm scale with vis–NIR spectroscopy L Ramirez‐Lopez, AMJC Wadoux, MHD Franceschini, FS Terra, ... European Journal of Soil Science 70 (2), 378-393, 2019 | 50 | 2019 |
Ten challenges for the future of pedometrics AMJC Wadoux, GBM Heuvelink, RM Lark, P Lagacherie, J Bouma, ... Geoderma 401, 115155, 2021 | 46 | 2021 |
Perspectives on data‐driven soil research AMJC Wadoux, M Román‐Dobarco, AB McBratney European Journal of Soil Science 72 (4), 1675-1689, 2021 | 42 | 2021 |
Sampling design optimisation for rainfall prediction using a non-stationary geostatistical model AMJC Wadoux, DJ Brus, MA Rico-Ramirez, GBM Heuvelink Advances in water resources 107, 126-138, 2017 | 42 | 2017 |
Package ‘resemble’ L Ramirez-Lopez, A Stevens, RV Rossel, C Lobsey, A Wadoux, T Breure https://cran.r-project.org/web/packages/resemble/index.html, 2020 | 41* | 2020 |
Dealing with clustered samples for assessing map accuracy by cross-validation S De Bruin, DJ Brus, GBM Heuvelink, T van Ebbenhorst Tengbergen, ... Ecological Informatics 69, 101665, 2022 | 38 | 2022 |
Accounting for non-stationary variance in geostatistical mapping of soil properties AMJC Wadoux, DJ Brus, GBM Heuvelink Geoderma 324, 138-147, 2018 | 38 | 2018 |
Hypotheses, machine learning and soil mapping AMJC Wadoux, AB McBratney Geoderma 383, 114725, 2021 | 35 | 2021 |
Soil Spectral Inference with R: Analysing Digital Soil Spectra Using the R Programming Environment AMJC Wadoux, B Malone, B Minasny, M Fajardo, AB McBratney Springer Nature, 2021 | 35* | 2021 |
Precocious 19th century soil carbon science B Minasny, AB McBratney, MJCW Alexandre, EN Akoeb, T Sabrina | 33 | 2020 |
Efficient sampling for geostatistical surveys AMJC Wadoux, BP Marchant, RM Lark European Journal of Soil Science 70 (5), 975-989, 2019 | 33 | 2019 |
Beyond prediction: methods for interpreting complex models of soil variation AMJC Wadoux, C Molnar Geoderma 422, 115953, 2022 | 29 | 2022 |