Mapping high resolution National Soil Information Grids of China

Depth-to-bedrock map of China at a spatial resolution of 100 meters

(2020) Fapeng Yan et al.   Scientific Data

Predicting soil properties in 3D: Should depth be a covariate?

(2020) Yuxin Ma et al.   GEODERMA

Modelling and mapping soil organic carbon stocks in Brazil

(2019) Lucas Carvalho Gomes et al.   GEODERMA

Spatial variability of soil total nitrogen, phosphorus and potassium in Renshou County of Sichuan Basin, China

(2019) Xue-song GAO et al.   Journal of Integrative Agriculture

Relative prediction intervals reveal larger uncertainty in 3D approaches to predictive digital soil mapping of soil properties with legacy data

(2019) Travis W. Nauman et al.   GEODERMA

Probabilistic forecasting of crop yields via quantile random forest and Epanechnikov Kernel function

(2019) Samuel Asante Gyamerah et al.   AGRICULTURAL AND FOREST METEOROLOGY

Sparse regression interaction models for spatial prediction of soil properties in 3D

(2018) Milutin Pejović et al.   COMPUTERS & GEOSCIENCES

Multiscale contextual spatial modelling with the Gaussian scale space

(2018) T. Behrens et al.   GEODERMA

Soil Property and Class Maps of the Conterminous United States at 100-Meter Spatial Resolution

(2018) Amanda Ramcharan et al.   SOIL SCIENCE SOCIETY OF AMERICA JOURNAL

How far can the uncertainty on a Digital Soil Map be known?: A numerical experiment using pseudo values of clay content obtained from Vis-SWIR hyperspectral imagery

(2018) Philippe Lagacherie et al.   GEODERMA

National digital soil map of organic matter in topsoil and its associated uncertainty in 1980's China

(2018) Zongzheng Liang et al.   GEODERMA

Digital mapping of soil carbon fractions with machine learning

(2018) Hamza Keskin et al.   GEODERMA

Using quantile regression forest to estimate uncertainty of digital soil mapping products

(2017) Kévin Vaysse et al.   GEODERMA

ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

(2017) Marvin N. Wright et al.   Journal of Statistical Software

SoilGrids250m: Global gridded soil information based on machine learning

(2017) Tomislav Hengl et al.   PLoS One

GlobalSoilMap France: High-resolution spatial modelling the soils of France up to two meter depth

(2016) V.L. Mulder et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Do more detailed environmental covariates deliver more accurate soil maps?

(2015) A. Samuel-Rosa et al.   GEODERMA

The Australian three-dimensional soil grid: Australia’s contribution to the GlobalSoilMap project

(2015) R. A. Viscarra Rossel et al.   Soil Research

Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions

(2015) Tomislav Hengl et al.   PLoS One

Regional scale mapping of soil properties and their uncertainty with a large number of satellite-derived covariates

(2013) Laura Poggio et al.   GEODERMA

High-Resolution 3-D Mapping of Soil Texture in Denmark

(2013) Kabindra Adhikari et al.   SOIL SCIENCE SOCIETY OF AMERICA JOURNAL

A China data set of soil properties for land surface modeling

(2013) Wei Shangguan et al.   Journal of Advances in Modeling Earth Systems

Spatial distribution of rock fragments on steep hillslopes in karst region of northwest Guangxi, China

(2010) Hongsong Chen et al.   CATENA

Empirical estimates of uncertainty for mapping continuous depth functions of soil attributes

(2010) B.P. Malone et al.   GEODERMA

Uncertainty analysis of sample locations within digital soil mapping approaches

(2009) Rosina Grimm et al.   GEODERMA