Digital soil mapping: A brief history and some lessons

615 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Establishing the precision and robustness of farmers’ crop experiments (2019, methodology): “Such trends could be quantified through the application of digital soil mapping methodologies (Minasny and McBratney, 2016) or the use of crop yield models and simulation techniques (Carberry et al.”
Multivariate mapping of soil with structural equation modelling (2017, methodology): “This information is being generated increasingly through digital soil mapping (DSM) techniques (Minasny & McBratney, 2016).”
How to measure, report and verify soil carbon change to realize the potential of soil carbon sequestration for atmospheric greenhouse gas removal (2019, methodology): “…ates in digital soil mapping, where the relation between soil proper‐ ties and satellite information is used to predict SOC maps at various depths using point observations and satellite imagery products (Hengl et al., 2017; McBratney, Mendonça Santos, & Minasny, 2003; Minasny & McBratney, 2016).”
Selecting appropriate machine learning methods for digital soil mapping (2020, background): “Digital soil maps are becoming important for both scientists and land managers [7] for a wide variety of purposes [9], [10], [11], [12].”