The SoilGrids system (www.soilgrids.org) uses machine learning algorithms to predict soil type and basic soil properties at seven depths on global extent. These algorithms (i.e., random forests, gradient boosting) are trained with soil observations assembled from 150 000 locations across the globe as stored in WoSIS ..
Legacy soil data have been produced over 70 years in nearly all countries of the world. Unfortunatel...
Soils are essential for supporting food production and providing ecosystem services but are under pr...
Soils have critical relevance to global issues, such as food and water security, climate regulation,...
This paper describes the technical development and accuracy assessment of the most recent and improv...
Publisher's PDFThis paper describes the technical development and accuracy assessment of the most r...
SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution (250 m ...
BACKGROUND: Soils are widely recognized as a non-renewable natural resource and as biophysical carbo...
Background Soils are widely recognized as a non-renewable natural resource and as biophysical carbon...
Background: Soils are widely recognized as a non-renewable natural resource and as biophysical carbo...
Background: Soils are widely recognized as a non-renewable natural resource and as biophysical carbo...
Knowledge of the world soil resources is fragmented and dated. There is a need for accurate, up-to-d...
SoilGrids1km is a collection of updatable soil property and class maps of the world at a relatively ...
Knowledge of the world soil resources is fragmented and dated. There is a need for accurate, up-to-d...
SoilGrids is a collection of updatable soil property and class maps of the world produced using stat...
Global maps at 1 km spatial resolution of the predicted soil types (0–100% probabilities) at 1 km re...
Legacy soil data have been produced over 70 years in nearly all countries of the world. Unfortunatel...
Soils are essential for supporting food production and providing ecosystem services but are under pr...
Soils have critical relevance to global issues, such as food and water security, climate regulation,...
This paper describes the technical development and accuracy assessment of the most recent and improv...
Publisher's PDFThis paper describes the technical development and accuracy assessment of the most r...
SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution (250 m ...
BACKGROUND: Soils are widely recognized as a non-renewable natural resource and as biophysical carbo...
Background Soils are widely recognized as a non-renewable natural resource and as biophysical carbon...
Background: Soils are widely recognized as a non-renewable natural resource and as biophysical carbo...
Background: Soils are widely recognized as a non-renewable natural resource and as biophysical carbo...
Knowledge of the world soil resources is fragmented and dated. There is a need for accurate, up-to-d...
SoilGrids1km is a collection of updatable soil property and class maps of the world at a relatively ...
Knowledge of the world soil resources is fragmented and dated. There is a need for accurate, up-to-d...
SoilGrids is a collection of updatable soil property and class maps of the world produced using stat...
Global maps at 1 km spatial resolution of the predicted soil types (0–100% probabilities) at 1 km re...
Legacy soil data have been produced over 70 years in nearly all countries of the world. Unfortunatel...
Soils are essential for supporting food production and providing ecosystem services but are under pr...
Soils have critical relevance to global issues, such as food and water security, climate regulation,...