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Depth-to-bedrock map of China at a spatial resolution of 100 meters
Depth to bedrock influences or controls many of the Earth’s physical and chemical processes. It plays important roles in soil science, geology, hydrology, land surface processes, civil engineering, and other related fields. However, information about depth to bedrock in China is very deficient, and...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941956/ https://www.ncbi.nlm.nih.gov/pubmed/31900409 http://dx.doi.org/10.1038/s41597-019-0345-6 |
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author | Yan, Fapeng Shangguan, Wei Zhang, Jing Hu, Bifeng |
author_facet | Yan, Fapeng Shangguan, Wei Zhang, Jing Hu, Bifeng |
author_sort | Yan, Fapeng |
collection | PubMed |
description | Depth to bedrock influences or controls many of the Earth’s physical and chemical processes. It plays important roles in soil science, geology, hydrology, land surface processes, civil engineering, and other related fields. However, information about depth to bedrock in China is very deficient, and there is no independent map of depth to bedrock in China currently. This paper describes the materials and methods to produce high-resolution (100 m) depth-to-bedrock maps of China. For different research and application needs, two sets of data are provided for users. One is the prediction by the ensemble of the random forests and gradient boosting tree models, and the other is the prediction and the uncertainty of prediction based on quantile regression forests model. In comparison with depth-to-bedrock maps of China extracted from previous global predictions, our predictions showed higher accuracy and more spatial details. These data sets can provide more accurate information for Earth system research compared with previous depth-to-bedrock maps. |
format | Online Article Text |
id | pubmed-6941956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69419562020-01-06 Depth-to-bedrock map of China at a spatial resolution of 100 meters Yan, Fapeng Shangguan, Wei Zhang, Jing Hu, Bifeng Sci Data Data Descriptor Depth to bedrock influences or controls many of the Earth’s physical and chemical processes. It plays important roles in soil science, geology, hydrology, land surface processes, civil engineering, and other related fields. However, information about depth to bedrock in China is very deficient, and there is no independent map of depth to bedrock in China currently. This paper describes the materials and methods to produce high-resolution (100 m) depth-to-bedrock maps of China. For different research and application needs, two sets of data are provided for users. One is the prediction by the ensemble of the random forests and gradient boosting tree models, and the other is the prediction and the uncertainty of prediction based on quantile regression forests model. In comparison with depth-to-bedrock maps of China extracted from previous global predictions, our predictions showed higher accuracy and more spatial details. These data sets can provide more accurate information for Earth system research compared with previous depth-to-bedrock maps. Nature Publishing Group UK 2020-01-03 /pmc/articles/PMC6941956/ /pubmed/31900409 http://dx.doi.org/10.1038/s41597-019-0345-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Yan, Fapeng Shangguan, Wei Zhang, Jing Hu, Bifeng Depth-to-bedrock map of China at a spatial resolution of 100 meters |
title | Depth-to-bedrock map of China at a spatial resolution of 100 meters |
title_full | Depth-to-bedrock map of China at a spatial resolution of 100 meters |
title_fullStr | Depth-to-bedrock map of China at a spatial resolution of 100 meters |
title_full_unstemmed | Depth-to-bedrock map of China at a spatial resolution of 100 meters |
title_short | Depth-to-bedrock map of China at a spatial resolution of 100 meters |
title_sort | depth-to-bedrock map of china at a spatial resolution of 100 meters |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941956/ https://www.ncbi.nlm.nih.gov/pubmed/31900409 http://dx.doi.org/10.1038/s41597-019-0345-6 |
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