Digital map** of GlobalSoilMap soil properties at a broad scale: A review

S Chen, D Arrouays, VL Mulder, L Poggio, B Minasny… - Geoderma, 2022 - Elsevier
Soils are essential for supporting food production and providing ecosystem services but are
under pressure due to population growth, higher food demand, and land use competition …

Digital soil map** algorithms and covariates for soil organic carbon map** and their implications: A review

S Lamichhane, L Kumar, B Wilson - Geoderma, 2019 - Elsevier
This article reviews the current research and applications of various digital soil map**
(DSM) techniques used to map Soil Organic Carbon (SOC) concentration and stocks …

[HTML][HTML] SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty

L Poggio, LM De Sousa, NH Batjes, GBM Heuvelink… - Soil, 2021 - soil.copernicus.org
SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution
(250 m cell size) using state-of-the-art machine learning methods to generate the necessary …

Key issues in rigorous accuracy assessment of land cover products

SV Stehman, GM Foody - Remote Sensing of Environment, 2019 - Elsevier
Accuracy assessment and land cover map** have been inexorably linked throughout the
first 50 years of publication of Remote Sensing of Environment. The earliest developers of …

Spatial cross-validation is not the right way to evaluate map accuracy

AMJC Wadoux, GBM Heuvelink, S De Bruin… - Ecological Modelling, 2021 - Elsevier
For decades scientists have produced maps of biological, ecological and environmental
variables. These studies commonly evaluate the map accuracy through cross-validation with …

SoilGrids250m: Global gridded soil information based on machine learning

T Hengl, J Mendes de Jesus, GBM Heuvelink… - PLoS one, 2017 - journals.plos.org
This paper describes the technical development and accuracy assessment of the most
recent and improved version of the SoilGrids system at 250m resolution (June 2016 update) …

Map** soil properties of Africa at 250 m resolution: Random forests significantly improve current predictions

T Hengl, GBM Heuvelink, B Kempen, JGB Leenaars… - PloS one, 2015 - journals.plos.org
80% of arable land in Africa has low soil fertility and suffers from physical soil problems.
Additionally, significant amounts of nutrients are lost every year due to unsustainable soil …

SoilGrids1km—global soil information based on automated map**

T Hengl, JM De Jesus, RA MacMillan, NH Batjes… - PloS one, 2014 - journals.plos.org
Background Soils are widely recognized as a non-renewable natural resource and as
biophysical carbon sinks. As such, there is a growing requirement for global soil information …

High-resolution digital map** of soil organic carbon and soil total nitrogen using DEM derivatives, Sentinel-1 and Sentinel-2 data based on machine learning …

T Zhou, Y Geng, J Chen, J Pan, D Haase… - Science of The Total …, 2020 - Elsevier
Soil organic carbon (SOC) and soil total nitrogen (STN) are important indicators of soil
health and play a key role in the global carbon and nitrogen cycles. High-resolution radar …

[HTML][HTML] Providing quality-assessed and standardised soil data to support global map** and modelling (WoSIS snapshot 2023)

NH Batjes, L Calisto… - Earth System Science Data, 2024 - essd.copernicus.org
Snapshots derived from the World Soil Information Service (WoSIS) are served freely to the
international community. These static datasets provide quality-assessed and standardised …