<p>observations used as calibration data for producing SoilGrids1km predictions [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0125814#pone.0125814.ref021" target="_blank">21</a>]. The majority of observations (> 80%) come from the USA National Cooperative Soil Survey Soil Characterization database.</p
Publisher's PDFThis paper describes the technical development and accuracy assessment of the most r...
The relationships between World Reference Base (WRB) soil distribution and the key soil forming fact...
This paper describes the technical development and accuracy assessment of the most recent and improv...
Distribution of the USDA suborders based on machine learning predictions of great groups (https://do...
Distribution of the USDA soil great groups based on machine learning predictions from global compila...
Distribution of the USDA orders (12) based on machine learning predictions of great groups (https://...
Background Soils are widely recognized as a non-renewable natural resource and as biophysical carbon...
Soils are widely recognized as a non-renewable natural resource and as biophysical carbon sinks. As ...
BACKGROUND: Soils are widely recognized as a non-renewable natural resource and as biophysical carbo...
<p>WRB = “World Reference Base”; USDA = “United States Department of Agriculture”.</p><p>Amount of v...
Background: Soils are widely recognized as a non-renewable natural resource and as biophysical carbo...
Global maps at 1 km spatial resolution of the predicted soil types (0–100% probabilities) at 1 km re...
SoilGrids1km is a collection of updatable soil property and class maps of the world at a relatively ...
With growing concern for the depletion of soil resources, conventional soil maps need to be updated ...
Relationships between various soil forming environmental factors and global soil distribution were e...
Publisher's PDFThis paper describes the technical development and accuracy assessment of the most r...
The relationships between World Reference Base (WRB) soil distribution and the key soil forming fact...
This paper describes the technical development and accuracy assessment of the most recent and improv...
Distribution of the USDA suborders based on machine learning predictions of great groups (https://do...
Distribution of the USDA soil great groups based on machine learning predictions from global compila...
Distribution of the USDA orders (12) based on machine learning predictions of great groups (https://...
Background Soils are widely recognized as a non-renewable natural resource and as biophysical carbon...
Soils are widely recognized as a non-renewable natural resource and as biophysical carbon sinks. As ...
BACKGROUND: Soils are widely recognized as a non-renewable natural resource and as biophysical carbo...
<p>WRB = “World Reference Base”; USDA = “United States Department of Agriculture”.</p><p>Amount of v...
Background: Soils are widely recognized as a non-renewable natural resource and as biophysical carbo...
Global maps at 1 km spatial resolution of the predicted soil types (0–100% probabilities) at 1 km re...
SoilGrids1km is a collection of updatable soil property and class maps of the world at a relatively ...
With growing concern for the depletion of soil resources, conventional soil maps need to be updated ...
Relationships between various soil forming environmental factors and global soil distribution were e...
Publisher's PDFThis paper describes the technical development and accuracy assessment of the most r...
The relationships between World Reference Base (WRB) soil distribution and the key soil forming fact...
This paper describes the technical development and accuracy assessment of the most recent and improv...