
- Dataset Availability
- 1950-01-01T00:00:00 - 2018-01-01T00:00:00
- Dataset Provider
- EnvirometriX Ltd
- Earth Engine Snippet
-
ee.Image("OpenLandMap/SOL/SOL_GRTGROUP_USDA-SOILTAX-HAPLUDALFS_P/v01")
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- Tags
Description
Predicted USDA soil great groups at 250 m (probabilities).
Distribution of the USDA soil great groups based on machine learning predictions from global compilation of soil profiles. To learn more about soil great groups please refer to the Illustrated Guide to Soil Taxonomy - NRCS - USDA . Processing steps are described in detail here . Antartica is not included.
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Bands
Resolution
250 meters
Bands
Name | Units | Min | Max | Description |
---|---|---|---|---|
grtgroup |
% | 0* | 35* | Predicted Hapludalfs probability |
Terms of Use
Terms of Use
This is a human-readable summary of (and not a substitute for) the license.
You are free to - Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially.
This license is acceptable for Free Cultural Works. The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms - Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Citations
Tomislav Hengl, & Travis Nauman. (2018). Predicted USDA soil great groups at 250 m (probabilities) (Version v01) [Data set]. Zenodo. 10.5281/zenodo.1476844
DOIs
Explore in Earth Engine
var dataset = ee.Image("OpenLandMap/SOL/SOL_GRTGROUP_USDA-SOILTAX-HAPLUDALFS_P/v01"); var visualization = { bands: ['grtgroup'], min: 0.0, max: 35.0, palette: ['ffffb2', 'fecc5c', 'fd8d3c', 'f03b20', 'bd0026'] }; Map.centerObject(dataset); Map.addLayer(dataset, visualization, "Hapludalfs");