Predicted USDA soil suborders at 250 m (probabilities)
Distribution of the USDA subordersbased on machine learning predictions of great groups ( https://doi.org/10.5281/zenodo.1476844 ) from global compilation of soil profiles. To learn more about soil suborders and great groups please refer to the Illustrated Guide to Soil Taxonomy - NRCS - USDA . Proc...
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ftzenodo:oai:zenodo.org:2657408 2024-09-15T17:49:15+00:00 Predicted USDA soil suborders at 250 m (probabilities) Tomislav Hengl Travis Nauman 2019-05-02 https://doi.org/10.5281/zenodo.2657408 eng eng Zenodo https://doi.org/10.5281/zenodo.2657407 https://doi.org/10.5281/zenodo.2657408 oai:zenodo.org:2657408 info:eu-repo/semantics/openAccess Creative Commons Attribution Share Alike 4.0 International https://creativecommons.org/licenses/by-sa/4.0/legalcode LandGIS soil type USDA soil taxonomy info:eu-repo/semantics/other 2019 ftzenodo https://doi.org/10.5281/zenodo.265740810.5281/zenodo.2657407 2024-07-25T15:04:46Z Distribution of the USDA subordersbased on machine learning predictions of great groups ( https://doi.org/10.5281/zenodo.1476844 ) from global compilation of soil profiles. To learn more about soil suborders and great groups please refer to the Illustrated Guide to Soil Taxonomy - NRCS - USDA . Processing steps are described in detail here . Antartica is not included. To access and visualize maps use: OpenLandMap.org If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/-/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using "COMPRESS=DEFLATE" creationoption in GDAL. File naming convention: sol = theme: soil, suborder = variable: USDA suborder, usda.ustolls = determination method: USDA soil taxonomy class Ustolls, p = probability, 250m = spatial resolution / block support: 250 m, s0.0cm = vertical reference: soil surface, 1950.2017 = time reference: period 1950-2017, v0.1 = version number: 0.1 Other/Unknown Material antartic* Zenodo |
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LandGIS soil type USDA soil taxonomy |
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LandGIS soil type USDA soil taxonomy Tomislav Hengl Travis Nauman Predicted USDA soil suborders at 250 m (probabilities) |
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LandGIS soil type USDA soil taxonomy |
description |
Distribution of the USDA subordersbased on machine learning predictions of great groups ( https://doi.org/10.5281/zenodo.1476844 ) from global compilation of soil profiles. To learn more about soil suborders and great groups please refer to the Illustrated Guide to Soil Taxonomy - NRCS - USDA . Processing steps are described in detail here . Antartica is not included. To access and visualize maps use: OpenLandMap.org If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/-/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using "COMPRESS=DEFLATE" creationoption in GDAL. File naming convention: sol = theme: soil, suborder = variable: USDA suborder, usda.ustolls = determination method: USDA soil taxonomy class Ustolls, p = probability, 250m = spatial resolution / block support: 250 m, s0.0cm = vertical reference: soil surface, 1950.2017 = time reference: period 1950-2017, v0.1 = version number: 0.1 |
format |
Other/Unknown Material |
author |
Tomislav Hengl Travis Nauman |
author_facet |
Tomislav Hengl Travis Nauman |
author_sort |
Tomislav Hengl |
title |
Predicted USDA soil suborders at 250 m (probabilities) |
title_short |
Predicted USDA soil suborders at 250 m (probabilities) |
title_full |
Predicted USDA soil suborders at 250 m (probabilities) |
title_fullStr |
Predicted USDA soil suborders at 250 m (probabilities) |
title_full_unstemmed |
Predicted USDA soil suborders at 250 m (probabilities) |
title_sort |
predicted usda soil suborders at 250 m (probabilities) |
publisher |
Zenodo |
publishDate |
2019 |
url |
https://doi.org/10.5281/zenodo.2657408 |
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antartic* |
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antartic* |
op_relation |
https://doi.org/10.5281/zenodo.2657407 https://doi.org/10.5281/zenodo.2657408 oai:zenodo.org:2657408 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution Share Alike 4.0 International https://creativecommons.org/licenses/by-sa/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.265740810.5281/zenodo.2657407 |
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1810291029083947008 |