Predicted USDA soil orders at 250 m (probabilities)
Distribution of the USDA orders (12) based 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 orders and great groups please refer to the Illustrated Guide to Soil Taxonomy - NRCS - USDA. Process...
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ftdatacite:10.5281/zenodo.2658183 2023-05-15T14:15:22+02:00 Predicted USDA soil orders at 250 m (probabilities) Hengl, Tomislav Nauman, Travis 2019 https://dx.doi.org/10.5281/zenodo.2658183 https://zenodo.org/record/2658183 en eng Zenodo https://dx.doi.org/10.5281/zenodo.2658182 Open Access Creative Commons Attribution Share Alike 4.0 International https://creativecommons.org/licenses/by-sa/4.0/legalcode cc-by-sa-4.0 info:eu-repo/semantics/openAccess CC-BY-SA LandGIS USDA soil taxonomy soil type dataset Dataset 2019 ftdatacite https://doi.org/10.5281/zenodo.2658183 https://doi.org/10.5281/zenodo.2658182 2021-11-05T12:55:41Z Distribution of the USDA orders (12) based 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 orders 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" creation option in GDAL. File naming convention: sol = theme: soil, order = variable: USDA order, usda.histosols = determination method: USDA soil taxonomy class Histosols, 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, : {"references": ["USDA-NRCS, (2014). Illustrated Guide to Soil Taxonomy: Version 1.0, September 20014, U.S. Department of Agriculture, Natural Resources Conservation Service, National Soil Survey Center."]} Dataset antartic* DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
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English |
topic |
LandGIS USDA soil taxonomy soil type |
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LandGIS USDA soil taxonomy soil type Hengl, Tomislav Nauman, Travis Predicted USDA soil orders at 250 m (probabilities) |
topic_facet |
LandGIS USDA soil taxonomy soil type |
description |
Distribution of the USDA orders (12) based 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 orders 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" creation option in GDAL. File naming convention: sol = theme: soil, order = variable: USDA order, usda.histosols = determination method: USDA soil taxonomy class Histosols, 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, : {"references": ["USDA-NRCS, (2014). Illustrated Guide to Soil Taxonomy: Version 1.0, September 20014, U.S. Department of Agriculture, Natural Resources Conservation Service, National Soil Survey Center."]} |
format |
Dataset |
author |
Hengl, Tomislav Nauman, Travis |
author_facet |
Hengl, Tomislav Nauman, Travis |
author_sort |
Hengl, Tomislav |
title |
Predicted USDA soil orders at 250 m (probabilities) |
title_short |
Predicted USDA soil orders at 250 m (probabilities) |
title_full |
Predicted USDA soil orders at 250 m (probabilities) |
title_fullStr |
Predicted USDA soil orders at 250 m (probabilities) |
title_full_unstemmed |
Predicted USDA soil orders at 250 m (probabilities) |
title_sort |
predicted usda soil orders at 250 m (probabilities) |
publisher |
Zenodo |
publishDate |
2019 |
url |
https://dx.doi.org/10.5281/zenodo.2658183 https://zenodo.org/record/2658183 |
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antartic* |
genre_facet |
antartic* |
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https://dx.doi.org/10.5281/zenodo.2658182 |
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Open Access Creative Commons Attribution Share Alike 4.0 International https://creativecommons.org/licenses/by-sa/4.0/legalcode cc-by-sa-4.0 info:eu-repo/semantics/openAccess |
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CC-BY-SA |
op_doi |
https://doi.org/10.5281/zenodo.2658183 https://doi.org/10.5281/zenodo.2658182 |
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1766287778712125440 |