Digital soil mapping: A brief history and some lessons

TL;DR: A new vision for a global framework for MRV of SOC change is described, to support national and international initiatives seeking to effect change in the way the authors manage their soils.

TL;DR: This work compares the strengths and weaknesses of multiple linear regression (MLR), k-nearest neighbors (KNN), support vector regression (SVR), Cubist, random forest (RF), and artificial neural networks (ANN) for DSM.

TL;DR: In this paper, the authors reviewed 244 articles published between January 2003 and July 2021 and then summarised the progress in broad-scale (spatial extent > 10,000 km2) DSM, focusing on the 12 mandatory soil properties for GlobalSoilMap.

TL;DR: The derived maps will establish baselines that will help monitor soil quality and provide guidance to agro-environmental research and policy developments in the European Union.

TL;DR: In this article, the Bago-Maragle survey was used to predict forest soil properties and land qualities using field measurements of soil layer and site properties as response variables and the more readily available spatial environmental explanatory variables derived from digital elevation models (DEM), terrain analysis, digital climatic surfaces, and geophysical and multi-spectral remote sensing.

TL;DR: In this paper, the feasibility of a third approach to parametric survey has been investigated using data from the lower Macquarie Valley, NSW, Australia, where soil characteristics were predicted using generalized linear models with more readily observed environmental variables as predictors.

TL;DR: In this paper, the authors examined the ability of gamma radiation to detect spatial variation of soil material by comparing simultaneous ground and airborne measurements of gamma emissions with ground observations over a catchment in south-western Australia.

TL;DR: Two RECTANGULAR AREAS 1400 M X 600 M in South Central England and some 20 SOIL PROPERTIES were measured by the HIERARCHICAL NUMERICAL Classifications as mentioned in this paper.